User interface for use in security screening providing image enhancement capabilities and apparatus for implementing same

Information

  • Patent Grant
  • 8494210
  • Patent Number
    8,494,210
  • Date Filed
    Friday, March 30, 2007
    17 years ago
  • Date Issued
    Tuesday, July 23, 2013
    11 years ago
Abstract
An apparatus, method and system for facilitating visual identification of a prohibited object in an image during security screening are provided. Data derived from an apparatus that scans the receptacle with penetrating radiation conveying an image of the contents of a receptacle is received. Information from an automated threat detection processor is also received and indicates an area of interest in the image potentially containing a prohibited object. The image is then processed to generate an enhanced image. In a first example, portions of the enhanced image outside the area of interest are visually de-emphasized. In a second example, features appearing inside the area of interest are visually emphasized. The enhanced image is then displayed on a display device. Optionally, thumbnail images associated with previously screened receptacles are displayed and a user is enabled to select one or more thumbnail images. An enhanced image corresponding to the selected thumbnail image is then displayed. In alternative implementations, an apparatus, method and system for use in screening a person for facilitating visual identification of a prohibited object thereon is provided.
Description
CROSS-REFERENCES TO RELATED APPLICATIONS

This application is related to U.S. patent application Ser. No. 11/407,217 filed Apr. 20, 2006 by Eric Bergeron et al. and presently pending which was a continuation-in-part application of international PCT patent application serial number PCT/CA2005/000716 filed May 11, 2005 by Eric Bergeron et al. designating the United States.


The contents of the above referenced applications are incorporated herein by reference.


FIELD OF THE INVENTION

The present invention relates generally to security systems and, more particularly, to a user interface providing image enhancement capabilities for use in screening luggage, mail parcels or cargo containers to identify certain objects located therein or for screening persons to identify certain objects located thereon and to a method and system for implementing such a user interface.


BACKGROUND

Security in airports, train stations, ports, mail sorting facilities, office buildings and other public or private venues is becoming increasingly important in particular in light of recent violent events.


Typically, security-screening systems at airports make use of devices generating penetrating radiation, such as x-ray devices, to scan individual pieces of luggage to generate an image conveying the contents of the luggage. The image is displayed on a screen and is examined by a human operator whose task it is to identify, on the basis of the image, potentially threatening objects located in the luggage.


A deficiency with current systems is that they are entirely reliant on the human operator to identify potentially threatening objects. However, the performance of the human operator greatly varies according to such factors as poor training and fatigue. As such, the process of detection and identification of threatening objects is highly susceptible to human error.


Another deficiency with current systems is that the labour costs associated with such systems are significant since human operators must view the images.


Yet another deficiency is that the images displayed on the x-ray machines provide little, if any, guidance as to what is being observed. It will be appreciated that failure to identify a threatening object, such as a weapon for example, may have serious consequences, such as property damage, injuries and human deaths.


Consequently, there is a need in the industry for providing a device for facilitating visual identification of a prohibited object in an image during security screening that alleviates at least in part the deficiencies of the prior art.


SUMMARY OF THE INVENTION

In accordance with a broad aspect, the invention provides a method for facilitating visual identification of a prohibited object in an image during security screening. The method comprises receiving data conveying an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation. The method also comprises receiving information from an automated threat detection processor indicating an area of interest in the image potentially containing a prohibited object. The method also comprises processing the image to generate an enhanced image in which portions outside the area of interest are visually de-emphasized. The method also comprises displaying the enhanced image on a display device.


Advantageously, by de-emphasizing portions of the image outside the area of interest, visual information located in portions of the image outside the area of interest is filtered out. As a result, the enhanced image displayed to the user conveys the area of interest in a visually contrasting manner relative to portions of the image outside the area of interest. As such, during security screening, the attention of screening operators is led to an area of the enhanced image identified as an area of interest and that likely represents a higher risk of hiding a potential threat there by facilitating visual identification of a prohibited object in an image.


In accordance with a specific implementation, the method comprises receiving information from an automated threat detection processor indicating a plurality of areas of interest in the image potentially containing respective prohibited objects. The method also comprises processing the image to generate the enhanced image in which portions outside the areas of interest are visually de-emphasized.


In accordance with a specific example of implementation, portions of the enhanced image inside the area of interest are visually emphasized.


Advantageously, generating an enhanced image by concurrently de-emphasizing portions of the image outside the area of interest and emphasizing portions of the image inside the area of interest, provides an improved visual cue for directing the visual attention of a screener to an area of the image most likely to contain a prohibited object.


In accordance with a specific example of implementation, the method comprises providing a user control allowing a user to select either one of the image conveyed by the data received and the enhanced image to be displayed on the display device.


In accordance with a specific example of implementation, the method comprises providing a user control allowing a user to select a level of enhancement from a set of possible levels of enhancement. In a first example, the method comprises processing the image to generate the enhanced image such that portions outside the area of interest in the enhanced image are visually de-emphasized at least in part based on the selected level of enhancement. In a second example, the method comprises processing the image to generate the enhanced image such that portions inside the area of interest in the enhanced image are visually emphasized at least in part based on the selected level of enhancement. Optionally, the method comprises providing a first user control and a second user control for allowing a user to select a first level of enhancement and a second level of enhancement from a set of possible levels of enhancement. The method comprises processing the image to generate the enhanced image such that portions inside the area of interest in the enhanced image are visually emphasized at least in part based on the selected second level of enhancement and portions outside the area of interest are visually de-emphasized at least in part based on the selected first level of enhancement.


In accordance with a specific example of implementation, the method comprises providing a user control allowing a user to select a level of enlargement from a set of possible levels of enlargement. The method also comprises processing the image to generate the enhanced image such that portions inside the area of interest are enlarged at least in part based on the selected level of enlargement such that features of the portion of the enhanced image inside the area of interest appear on a larger scale than features in portions of the enhanced image outside the area of interest.


In accordance with another broad aspect, the invention provides and apparatus suitable for implementing a user interface for facilitating visual identification of a prohibited object in an image during security screening in accordance with the above described method.


In accordance with another broad aspect, the invention provides a computer readable storage medium including a program element suitable for execution by a CPU for implementing a graphical user interface module for facilitating visual identification of a prohibited object in the image during security screening in accordance with the above described method.


In accordance with yet another broad aspect, the invention provides a system for detecting the presence of one or more prohibited objects in a receptacle. The system includes an image generation apparatus, an automated threat detection processor, a display module and an apparatus for implementing a user interface module. The image generation apparatus is suitable for scanning a receptacle with penetrating radiation to generate data conveying an image of contents of the receptacle. The automated threat detection processor is in communication with the image generation apparatus and is adapted for processing the image to identify an area of interest in the image potentially containing a prohibited object. The apparatus is in communication with the image generation apparatus, the automated threat detection processor and the display module and implements a user interface module for facilitating visual identification of a prohibited object in an image during security screening. The apparatus comprises a first input for receiving the data conveying the image of the contents of the receptacle and a second input for receiving information indicating the area of interest in the image. The apparatus also comprises a processing unit in communication with the first input and the second input. The processing unit is operative for implementing the user interface module. The user interface module is adapted for processing the image to generate an enhanced image in which portions outside the area of interest are visually de-emphasized and for displaying the enhanced image on the display module.


In accordance with yet another broad aspect, the invention provides a client-server system for implementing a graphical user interface module for facilitating visual identification of a prohibited object in an image during security screening. The client-server system comprising a client system and a server system operative to exchange messages over a data network. The server system stores a program element for execution by a CPU. The program element comprises a first program element component executed on the server system for receiving data conveying an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation and for receiving information from an automated threat detection processor indicating an area of interest in the image potentially containing a prohibited object. The program element also comprises a second program element component executed on the server system for processing the image to generate an enhanced image in which portions outside the area of interest are visually de-emphasized. The program element comprises a third program element component executed on the server system for sending messages to the client system for causing the client system to display the enhanced image on a display device.


In accordance with another broad aspect, the invention provides an apparatus for implementing a user interface module for facilitating visual identification of a prohibited object in an image during security screening. The apparatus comprises means for receiving data conveying an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation. The apparatus also comprises means for receiving information from an automated threat detection processor indicating an area of interest in the image potentially containing a prohibited object. The apparatus also comprises means for processing the image to generate an enhanced image in which portions outside the area of interest are visually de-emphasized. The apparatus also comprises means for releasing a display signal, the display signal being suitable for causing a display device to display the enhanced image.


In accordance with another broad aspect, the invention provides a method for facilitating visual identification of a prohibited object in an image during security screening. The method comprises receiving data conveying an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation. The method also comprises receiving information from an automated threat detection processor indicating an area of interest in the image potentially containing a prohibited object. The method also comprises processing the image to generate an enhanced image in which features appearing inside the area of interest are visually emphasized. The method also comprises displaying the enhanced image on a display device.


In accordance with a specific example of implementation, the method comprises providing a user control allowing a user to select either one of the received image and the enhanced image for display on the display device.


In accordance with another broad aspect, the invention provides and apparatus suitable for implementing a user interface for facilitating visual identification of a prohibited object in an image during security screening in accordance with the above described method.


In accordance with another broad aspect, the invention provides a computer readable storage medium including a program element suitable for execution by a CPU for implementing a graphical user interface module for facilitating visual identification of a prohibited object in the image during security screening in accordance with the above described method.


In accordance with yet another broad aspect, the invention provides a system for detecting the presence of one or more prohibited objects in a receptacle. The system includes an image generation apparatus, an automated threat detection processor, a display module and an apparatus for implementing a user interface module. The image generation apparatus is suitable for scanning a receptacle with penetrating radiation to generate data conveying an image of contents of the receptacle. The automated threat detection processor is in communication with the image generation apparatus and is adapted for processing the image to identify an area of interest in the image potentially containing a prohibited object. The apparatus is in communication with the image generation apparatus, the automated threat detection processor and the display module and implements a user interface module for facilitating visual identification of a prohibited object in an image during security screening. The apparatus comprises a first input for receiving the data conveying the image of the contents of the receptacle and a second input for receiving information indicating the area of interest in the image. The apparatus also comprises a processing unit in communication with the first input and the second input. The processing unit is operative for implementing the user interface module. The user interface module is adapted for processing the image to generate an enhanced image in which features appearing inside the area of interest are visually emphasized and for displaying the enhanced image on the display module.


In accordance with yet another broad aspect, the invention provides a client-server system for implementing a graphical user interface module for facilitating visual identification of a prohibited object in an image during security screening. The client-server system comprising a client system and a server system operative to exchange messages over a data network. The server system stores a program element for execution by a CPU. The program element comprises a first program element component executed on the server system for receiving data conveying an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation and information from an automated threat detection processor indicating an area of interest in the image potentially containing a prohibited object. The program element also comprises a second program element component executed on the server system for processing the image to generate an enhanced image in which features appearing inside the area of interest are visually emphasized. The program element also comprises a third program element component executed on the server system for sending messages to the client system for causing the client system to display the enhanced image on a display device.


In accordance with another broad aspect, the invention provides an apparatus for implementing a user interface module for facilitating visual identification of a prohibited object in an image during security screening. The apparatus comprises means for receiving data conveying an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation. The apparatus also comprises means for receiving information from an automated threat detection processor indicating an area of interest in the image potentially containing a prohibited object. The apparatus also comprises means for processing the image to generate an enhanced image in which features appearing inside the area of interest are visually emphasized. The apparatus also comprises means for displaying the enhanced image on a display module.


In accordance with another broad aspect, the invention provides a method for facilitating visual identification of prohibited objects in images associated with previously screened receptacles. The method comprises providing a plurality of records associated to respective previously screened receptacles. Each record includes an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation and information derived from an automated threat detection processor and indicating an area of interest in the image potentially containing a prohibited object. The method also comprises displaying on a displaying device a first viewing space conveying a set of thumbnail images, each thumbnail image in the set of thumbnail images being derived from a record in the plurality of records. The method also comprises enabling a user to select at least one thumbnail image in the set of thumbnail images. The method is also comprises displaying on the display device a second viewing space conveying an enhanced image derived from a certain record in the plurality of records corresponding to the selected at least one thumbnail image.


In accordance with a specific example of implementation, the enhanced image is an enhanced previous image. The method further comprises receiving data conveying a current image of the contents of a currently screened receptacle derived from an apparatus that scans the currently screened receptacle with penetrating radiation. The method also includes receiving information from an automated threat detection processor indicating an area of interest in the current image potentially containing a prohibited object. The method also includes processing the current image to generate an enhanced current image in which portions outside the area of interest are visually de-emphasized. The method also includes enabling the user to select between the enhanced previous image and the enhanced current image. The method also includes displaying the selected on of the enhanced current image and the enhanced previous image on a display module.


In accordance with another broad aspect, the invention provides a computer readable storage medium including a program element suitable for execution by a CPU for implementing a graphical user interface module for facilitating visual identification of a prohibited object in the image during security screening in accordance with the above described method.


In accordance with another broad aspect, the invention provides an apparatus suitable for implementing a user interface for facilitating visual identification of a prohibited object in an image during security screening. The apparatus comprises a memory and a processing unit. The memory is suitable for storing a plurality of records associated to respective previously screened receptacles, each record including: an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation; and information derived from an automated threat detection processor and indicating an area of interest in the image potentially containing a prohibited object. The processing unit is in communication with the memory unit and implements the user interface module. The user interface module is adapted for displaying on a displaying device a first viewing space conveying a set of thumbnail images, each thumbnail image in the set of thumbnail images being derived from a record in the plurality of records. The user interface module is also adapted for enabling a user to select at least one thumbnail image in the set of thumbnail images. The user interface module is also adapted for displaying on the display device a second viewing space conveying an enhanced image derived from a certain record in the plurality of records corresponding to the selected at least one thumbnail image.


In accordance with another broad aspect, the invention provides a method for displaying information associated to a receptacle for use in detecting the presence of a threat in the receptacle during security screening. The method comprises receiving data conveying an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation. The method also comprises receiving data conveying a level confidence that a threat has been detected in the receptacle. The method also comprises deriving a perceived level of threat associated with the receptacle at least in part based on the level confidence. The method also comprises displaying a screening image derived at least in part based on the data conveying the image of the contents of a receptacle. The method also comprises displaying concurrently with the screening image a threat probability scale, the threat probability scale conveying the perceived level of threat associated with the receptacle in graphical format.


In accordance with another broad aspect, the invention provides and apparatus suitable for implementing a user interface for displaying information associated to a receptacle for use in detecting the presence of a threat in the receptacle during security screening in accordance with the above described method.


In accordance with another broad aspect, the invention provides a computer readable storage medium including a program element suitable for execution by a CPU for implementing a graphical user interface module for displaying information associated to a receptacle for use in detecting the presence of a threat in the receptacle during security screening in accordance with the above described method.


Other aspects and features of the present invention will become apparent to those ordinarily skilled in the art upon review of the following description of specific embodiments of the invention in conjunction with the accompanying Figures.





BRIEF DESCRIPTION OF THE DRAWINGS

A detailed description of the embodiments of the present invention is provided herein below, by way of example only, with reference to the accompanying drawings, in which:



FIG. 1 is a high-level block diagram of a system for screening a receptacle to detect therein the presence of one or more prohibited objects in accordance with a specific example of implementation of the present invention;



FIG. 2 is a block diagram of an output module suitable for use in connection with the system depicted in FIG. 1 in accordance with a specific example of implementation of the present invention;



FIG. 3 is a block diagram of an apparatus suitable for implementing a user interface module for facilitating visual identification of a prohibited object in an image during security screening in accordance with a specific example of implementation of the present invention;



FIG. 4 shows a flow diagram depicting a process for facilitating visual identification of a prohibited object in an image during security screening;



FIG. 5 depicts a viewing window of a user interface displayed by the output module of FIG. 2 in accordance with a specific example of implementation of the present invention;



FIG. 6 depicts a control window of a user interface module displayed by the apparatus of FIG. 3 allowing a user to configure screening options in accordance with a specific example of implementation of the present invention;



FIG. 7 is a flow diagram depicting a process for facilitating visual identification of prohibited objects in images associated with previously screened receptacles in accordance with a specific example of implementation of the present invention;



FIG. 8 is a block diagram of an automated threat detection processor suitable for use in connection with the system depicted in FIG. 1 in accordance with a specific example of implementation of the present invention;



FIG. 9 is a flow diagram of a process suitable to be implemented by the automated threat detection processor depicted in FIG. 8 in accordance with specific examples of implementation of the present invention;



FIG. 10 is a block diagram of an apparatus suitable for implementing a user interface for facilitating visual identification of prohibited objects the images during security screening in accordance with a specific example of implementation of the present invention;



FIG. 11 is a block diagram of an apparatus suitable for implementing the automated threat detection processor depicted in FIG. 8 and for implementing a user interface for facilitating visual identification of prohibited objects the images during security screening in accordance with a specific example of implementation of the present invention;



FIG. 12 shows a functional block diagram of a client-server system suitable for implementing a user interface for facilitating visual identification of prohibited objects in an image during security screening in accordance with an alternative specific example of implementation of the present invention;



FIGS. 13
a and 13b depict a first example of an original image conveying contents of a receptacle and a corresponding enhanced image in accordance with a specific example of implementation of the present invention;



FIGS. 13
c and 13d depict a second example of an original image conveying contents of a receptacle and a corresponding enhanced image in accordance with a specific example of implementation of the present invention.



FIGS. 13
e, 13f and 13g depict a third example of an original image conveying contents of a receptacle and two (2) corresponding enhanced images in accordance with a specific example of implementation of the present invention.





In the drawings, the embodiments of the invention are illustrated by way of examples. It is to be expressly understood that the description and drawings are only for the purpose of illustration and are an aid for understanding. They are not intended to be a definition of the limits of the invention.


DETAILED DESCRIPTION

Shown in FIG. 1 is a system 100 for screening a receptacle in accordance with a specific example of implementation of the present invention. It is to be understood that the expression “receptacle”, as used for the purposes of the present description, is used to broadly describe an entity adapted for receiving objects therein such as, for example, a luggage item, a cargo container or a mail parcel. In addition, the expression “luggage item” is used to broadly describe luggage, suitcases, handbags, backpacks, briefcases, boxes, parcels or any other similar type of item suitable for containing objects therein.


As depicted, the system 100 includes an image generation apparatus 102, an automated threat detection processor 106 in communication with the image generation apparatus 102 and an output module 108.


The image generation apparatus 102 is adapted for scanning a receptacle 104 to generate data conveying an image of contents of the receptacle 104. The automated threat detection processor 106 receives the data conveying the image of contents of the receptacle 104 and processes that image to identify an area of interest in the image potentially containing a prohibited object. Optionally, as shown in the embodiment depicted in FIG. 1, the automated threat detection processor 106 receives and processes the image from the image generation apparatus 102 in combination with a plurality of images associated with prohibited objects to detect a presence of at least one prohibited object in the receptacle 104. In a specific implementation, the plurality of images is stored in a database of prohibited objects 110. The automated threat detection processor 106 releases information indicating an area of interest in the image and, optionally, information conveying the identity of a prohibited object potentially detected in the receptacle 104. Examples of the manner in which the information indicating an area of interest in the image can be derived will be described later on in the specification. The output module 108 receives the data conveying the image of the contents of the receptacle from the image generation apparatus 102 and the information indicating the area of interest in the image from the automated threat detection processor 106. The output module 108 processes the image to generate an enhanced image based at least in part on the area of interest in the image conveyed by the information released by the automated threat detection processor 106. More specifically, the output module 108 generates an enhanced image so that an operator's attention can be focused on areas of the image most likely to contain prohibited objects. The enhanced image displayed to the user conveys the area of interest in a visually contrasting manner relative to portions of the image outside the area of interest. The output module 108 may process the image to generate an enhanced image in which portions outside the area of interest are visually de-emphasized or in which features appearing inside the area of interest are visually emphasized. Alternatively, the output module 108 may process the image to generate an enhanced image in which portions outside the area of interest are visually de-emphasized and in which features appearing inside the area of interest are visually emphasized. The output module 108 then displays the enhanced image on a display module.


Advantageously, the system 100 provides assistance to the human security personnel using the system by facilitating visual identification of a prohibited object in an image during security screening. More specifically, displaying the enhanced image allows focussing an operator's attention to areas most likely to contain a prohibited object thereby improving the security personnel's efficiency and productivity.


Image Generation Apparatus 102


In a specific example of implementation, the image generation apparatus 102 uses penetrating radiation or emitted radiation to generate data conveying an image of the contents of the receptacle 104. Specific examples of such devices include, without being limited to, x-ray, gamma ray, computed tomography (CT scans), thermal imaging, TeraHertz and millimeter wave devices. Such devices are known in the art and as such will not be described further here. In a non-limiting example of implementation, the image generation apparatus 102 is a conventional x-ray machine suitable for generating data conveying an x-ray image of the receptacle 104. The x-ray image conveys, amongst others, material density information in relation to objects within the receptacle.


The data generated by the image generation apparatus 102 and conveying an image of the contents of the receptacle 104 may convey as a two-dimensional (2-D) image or a three-dimensional (3-D) image and may be in any suitable format. Possible formats include, without being limited to, JPEG, GIF, TIFF and bitmap amongst others.


Database of Prohibited Objects 110


In a specific example of implementation, the database of prohibited objects 110 includes a plurality of entries associated to respective prohibited objects that the system 100 is designed to detect.


In a non-limiting implementation, for each entry associated to a prohibited object at least one image (hereinafter referred to as a “target image”) is provided in the database of prohibited objects 110. The format of the target images will depend upon the image processing algorithm implemented by the automated threat detection processor 106. More specifically, the format of the target images is such that a comparison operation can be performed by the automated threat detection processor 106 between the target images and data conveying an image of contents of the receptacle 104.


Optionally, for each entry associated to a prohibited object, a set of images is provided in the database of prohibited objects 110. For example, images depicting the prohibited object in various orientations may be provided.


Optionally still, for each entry associated to a target object, characteristics of the prohibited object are provided. Such characteristics may include, without being limited to, the name of the prohibited object, its associated threat level, the recommended handling procedure when such a prohibited object is detected and any other suitable information. In a specific implementation, the threat level information associated to the target object convey the relative threat level of a prohibited object compared to other prohibited objects in the database of prohibited objects 110. For example, a gun would be given a relatively high threat level while a metallic nail file would be given a relatively low level threat level and a pocket knife would be given a threat level between that of the nail file and the gun. Optionally still, each entry in the database of prohibited objects 110 is also associated to a respective prohibited object identifier data element.


In the case of luggage screening (in an airport facility for example) the prohibited object typically constitutes a potential threat to the safety of the passenger or aircraft.


In the case of mail parcel screening, the prohibited object is typically an object that is normally not permitted to be sent through the mail, such as guns (in Canada) for example, due to registration requirements/permits and so on.


In a non-limiting example of implementation, the database of prohibited objects 110 includes one or more entries associated to objects which are not prohibited but which may represent potential threats. For example, the presence of a metal plate or a metal canister in a piece of luggage going through luggage security screening is not prohibited in itself. However such objects may conceal one or more dangerous objects. As such, it is desirable to be able to detect the presence of such objects in receptacle such as to bring them to the attention of the security screeners.


The specific design and content of the database of prohibited objects 110 may vary from one implementation to the next without detracting from the spirit of the invention. The design of the database is not critical to the present invention and as such will not be described further here.


Although the database of prohibited objects 110 has been shown in FIG. 1 to be a component separate from the automated threat detection processor 106, it will be appreciated that in certain embodiments the database of prohibited objects 110 may be part of automated threat detection processor 106 and that such implementations do not detract from the spirit of the invention. In addition, it will also be appreciated that in certain implementations, a same database of prohibited objects 110 may be shared between multiple threat detection processors 106. It will also be appreciated that in alternative examples of implementation of the present invention database of prohibited objects 110 may be omitted.


Output Module 108


In a specific example of implementation, the output module 108 displays to a user of the system 100 a user interface conveying an enhanced image of contents of the receptacle 104 for facilitating visual identification of a prohibited object.


A specific example of implementation of the output module 108 is shown in FIG. 2 of the drawings. As depicted, the output module includes an output device 202 and an apparatus implementing a user interface module 200.


The output device 202 may be any device suitable for conveying an enhanced image of contents of the receptacle to a user of the system 100. In a specific example of implementation, the output device 202 is in communication with the apparatus implementing a user interface module 200 and includes a display unit adapted for displaying in visual format information related to the presence of a prohibited object in the receptacle 104. The display unit may be part of a computing station or may be integrated into a hand-held portable device for example. In another specific example of implementation, the output device 202 includes a printer adapted for displaying in printed format information related to the presence of a prohibited object in the receptacle 104. The person skilled in the art will readily appreciate, in light of the present specification, that other suitable types of output devices may be used here without detracting from the spirit of the invention.


The apparatus implementing a user interface module 200 receives data conveying an image of the contents of a receptacle derived from the image generation apparatus 102.


The apparatus 200 also receives information from the automated threat detection processor 106 indicating an area of interest in the image potentially containing a prohibited object. Optionally, the information received from the automated threat detection processor 106 also conveys a level of confidence associated to the area of interest that the area of interest contains a prohibited object. Optionally still, the information received from the automated threat detection processor 106 also conveys an identification of the prohibited object potentially detected in the image.


In a specific example of implementation, the information received from the automated threat detection processor 106 conveying the area of interest includes location information conveying a location in the image of the contents of a receptacle derived from the image generation apparatus 102.


In a first non-limiting example of implementation, the location information is an (X,Y) pixel location conveying the center of an area in the image. The area of interest is established based on the center location (X,Y) provided by the automated threat detection processor 106 in combination with a shape for the area. The shape of the area may be pre-determined in which case it may be of any suitable geometric shape and will have any suitable size. Alternatively, the shape and/or size of the area of interest may be determined by the user on the basis of a user configuration command.


In a second non-limiting example of implementation, the shape and/or size of the area of interest is determined on the basis of information provided by the automated threat detection processor 106. For example, the information may convey a plurality of (X,Y) pixel locations defining an area in the image of the contents of a receptacle. In such a case, the information received will convey both the shape of the area of interest in the image and the position of the area of interest in that image.


In yet another non-limiting example of implementation, the automated threat detection processor 106 may provide an indication of a type of prohibited object potentially identified in the receptacle being screened in addition to a location of that potentially prohibited object in the image. Based on this potentially identified prohibited object, an area of interest having a shape and size conditioned on the basis of the potentially identified prohibited object may be determined.


A functional block diagram of apparatus 200 is depicted in FIG. 3 of the drawings. In the implementation depicted, the apparatus 200 is adapted for communicating with output device 202 including a display screen for causing the latter to display the user interface module generated by the apparatus 200. The apparatus 200 for implementing a user interface releases a signal at output 310 for causing the output device 202 to convey the user interface to a user of the system.


The apparatus 200 implements a user interface module for facilitating visual identification of a prohibited object in an image during security screening. A specific example of a method implemented by the apparatus 200 will now be described with reference to FIG. 4. At step 400, data is received conveying an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation such as the image generation apparatus 102 depicted in FIG. 1. At step 402, information is received from an automated threat detection processor (such as automated threat detection processor 106 depicted in FIG. 1) indicating an area of interest in the image potentially containing a prohibited object. At step 404, the image received at step 400 is processed the image to generate an enhanced image. In a first example of implementation, at step 404 portions of the image outside the area of interest, conveyed by the information received at step 402, are visually de-emphasized. In a second example of implementation, at step 404 features appearing inside the area of interest, conveyed by the information received at step 402 are visually emphasized. In yet another example, at step 404, the portions of the image outside the area of interest are visually de-emphasized and features appearing inside the area of interest are visually emphasized. At step 406 the enhanced image is caused to be displayed on a display module.


As depicted in FIG. 3, the apparatus 200 suitable for implementing the above described process includes a first input 304, a second input 306, a processing unit 300 and an output 310. Optionally, as depicted in FIG. 3, the apparatus 200 further includes a user input 308.


The first input 304 is for receiving data conveying an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation. In a specific implementation, the image signal is derived from a signal generated by the image generation apparatus 102 (shown in FIG. 1).


The second input 306 is for receiving information from an automated threat detection processor indicating an area of interest in the image potentially containing a prohibited object. In a specific implementation, the information is provided by the automated threat detection processor 106. The type of information received at the second input 306 depends on the specific implementation of the automated threat detection processor 106 and may vary from one implementation to the next without detracting from the spirit of the invention. Examples of the type of information that may be received include information on the position of the prohibited object detected within the image, information about the level of confidence of the detection and data allowing identifying the prohibited object detected.


The user input 308, which is an optional feature, is for receiving signals from a user input device, the signals conveying commands for controlling the type information displayed by the user interface module or for annotating the information displayed. Any suitable user input device for providing user commands may be used such as, for example, a mouse, keyboard, pointing device, speech recognition unit or touch sensitive screen.


The processing unit 300 is in communication with the first input 304, the second input 306 and the user input 308 and implements a user interface module for facilitating visual identification of a prohibited object in an image of contents of a receptacle.


More specifically, the processing unit 300 is adapted for processing the image received at the first input 304 to generate an enhanced image based at least in part on the information received at the second input 306 and optionally on commands received at the user input 308.


In a specific non-limiting example of implementation, the processing unit 300 is adapted for generating an image mask on the basis of the information received indicating an area of interest in the image. The image mask includes a first enhancement area corresponding to the area of interest and a second enhancement area corresponding to portions of the image outside the area of interest. The image mask allows applying a different type of image enhancement processing to portions of the image corresponding to the first enhancement area and the second enhancement area to generate an enhanced image.



FIGS. 13
a to 13g depict various illustrative examples of images and corresponding enhanced images generated by the processing unit 300 in accordance with specific examples of implementation of the invention.



FIG. 13
a depicts a first exemplary image 400 conveying contents of a receptacle that was generated by an x-ray machine. The processing unit 300 processes the first exemplary image 400 to derive information conveying an area of interest, denoted as area of interest 402 in the figure. FIG. 13b depicts an enhanced version of the image of FIG. 13a, herein referred to as enhanced image 450 resulting from the application of an image mask include ant enhancement area corresponding to the area of interest 402. In the example shown, the enhanced image 450 is such that portions 404 of the image which lie outside the area of interest 402 have been visually de-emphasized and features appearing inside the area of interest 402 have been visually emphasized.



FIG. 13
c depicts a second exemplary image 410 conveying contents of another receptacle that was generated by an x-ray machine. The processing unit 300 processes the second exemplary image 410 to derive information conveying a plurality of areas of interest, denoted as areas of interest 462a 462b and 462c in the figure. FIG. 13d depicts an enhanced version of the image of FIG. 13c, herein referred to as enhanced image 460. In the example shown, the enhanced image 450 is such that portions 464 of the image which lie outside the areas of interest 462a 462b and 462c have been visually de-emphasized and features appearing inside the areas of interest 462a 462b and 462c have been visually emphasized.



FIG. 13
e depicts a third example of an illustrative image 1300 conveying contents of a receptacle. The processing unit 300 processes the image 1300 to derive information conveying an area of interest, denoted as area of interest 1302 in the figure. FIG. 13f depicts a first enhanced version of the image of FIG. 13e, herein referred to as enhanced image 1304. In the example shown, the enhanced image 1304 is such that portions of the image which lie outside the area of interest 1302 have been visually de-emphasized. The de-emphasis is illustrated in the figure by the features appearing in portions of the image that lie outside the area of interest being presented in dotted lines. FIG. 13g depicts a second enhanced version of the image of FIG. 13e, herein referred to as enhanced image 1306. In the example shown, the enhanced image 1306 is such that features appearing inside the area of interest 1302 have been visually emphasized. The emphasis is illustrated in the figure by the features appearing in the area of interest being enlarged such that features of the enhanced image 1306 located inside the area of interest 1302 appear on a larger scale than features in portions of the enhanced image located outside the area of interest.


De-emphasizing Portions Outside the Area of Interest


In a first example of implementation, the processing unit 300 processes the image received at input 304 to generate an enhanced image wherein portions outside the area of interest, conveyed by the information received at second input 306, are visually de-emphasized. Any suitable image manipulation technique for de-emphasizing the visual appearance of portions of the image outside the area of interest may be used by the processing unit 300. Such image manipulation techniques are well-known in the art and as such will not be described in detail here.


In a specific example, the processing unit 300 processes the image to attenuate portions of the image outside the area of interest. In a non-limiting example, the processing unit 300 processes the image to reduce contrasts between feature information appearing in portions of the image outside the area of interest and background information appearing in portions of the image outside the area of interest. Alternatively, the processing unit 300 processes the image to remove features from portions of the image outside the area of interest. In yet another alternative embodiment, the processing unit 300 processes the image to remove all features appearing in portions of the image outside the area of interest such that only features in the areas of interest remain in the enhanced image.


In another example, the processing unit 300 processes the image to overlay or replace portions of the image outside the area of interest with a pre-determined visual pattern. The pre-determined visual pattern may be a suitable textured pattern of may be a uniform pattern. The uniform pattern may be a uniform color or other uniform pattern.


In yet another example, where the image includes color information, the processing unit 300 processes the image to modify color information associated to features of the image appearing outside the area of interest. In a non-limiting example of implementation, portions of the image outside the area of interest are converted into grayscale or other monochromatic color palette.


In yet another example of implementation, the processing unit 300 processes the image to reduce the resolution associated to portions of the image outside the area of interest. This type of image manipulation results in portions of the enhanced image outside the area of interest appearing blurred compare to portions of the image inside the area of interest.


In yet another example of implementation, the processing unit 300 processes the image to shrink portions of the image outside the area of interest such that at least some features of the enhanced image located inside the area of interest appear on a larger scale than features in portions of the enhanced image located outside the area of interest.


It will be appreciated that the above-described techniques for de-emphasizing the visual appearance of portions of the image outside the area of interest may be used individually or in combination with one another. It will also be appreciated that the above described exemplary techniques for de-emphasizing the visual appearance of portions of the image outside the area of interest are not meant as an exhaustive list of such techniques and that other suitable techniques may be used without detracting from the spirit of the invention.


Emphasizing Features Appearing Inside the Area of Interest


In a second example of implementation, the processing unit 300 processes the image received at input 304 to generate an enhanced image wherein features appearing inside the area of interest, conveyed by the information received at step 402 are visually emphasized. Any image manipulation suitable technique for emphasizing the visual appearance of features of the image inside the area of interest may be used. Such image manipulation techniques are well-known in the art and as such will not be described in detail here.


In a specific example, the processing unit 300 processes the image to increase contrasts between feature information appearing in portions of the image inside the area of interest and background information appearing in portions of the image inside the area of interest. For example, contour lines defining objects inside the area of interest are made to appear darker and/or thicker compared to the background. In a non-limiting example, contrast-stretching tools with settings highlighting the metallic content of portions of the image inside the area of interest are used to enhance the appearance of such features.


In another specific example, the processing unit 300 processes the image to overlay portions of the image inside the area of interest with a pre-determined visual pattern. The pre-determined visual pattern may be a suitable textured pattern of may be a uniform pattern. The uniform pattern may be a uniform color or other uniform pattern. In a non-limiting example, portions of the image inside the area of interest are highlighted by overlaying the area of interest with a brightly colored pattern. Preferably the visual pattern has transparent properties in that a user can see features of the image in portions of the image inside the area through the visual pattern once the pattern is overlaid in the image.


In another non-limiting example, the processing unit 300 processes the image to modify color information associated to features of the image appearing inside the area of interest. For example, colors for features of the image appearing inside the area of interest may be made to appear brighter or may be replaced by other more visually contrasting colors. In particular, color associated to metallic objects in an x-ray image may be made to appear more prominently by either replacing it with a different color or changing an intensity of the color. For example, the processing unit 300 may transform features appearing in blue inside the area of interest such that these same features appear in red in the enhanced image.


In another non-limiting example, processing unit 300 processes the image to enlarge a portion of the image inside the area of interest such that at least some features of the enhanced image located inside the area of interest appear on a larger scale than features in portions of the enhanced image located outside the area of interest. FIG. 13g of the drawings, previously described, depicts an enhanced image derived from the image depicted in FIG. 13e wherein the area of interest 1302 has been enlarged relative to the portions of the image outside the area of interest. The resulting enhanced image 1306 is such that the features inside the area of interest 1302 appear on a different scale that the features appearing in the portions of the image outside the area of interest 1302.


It will be appreciated that the above described techniques for emphasizing the visual appearance of portions of the image inside the area of interest may be used individually or in combination with one another or with other suitable techniques without detracting from the spirit of the invention. For example, processing the image may include modifying color information associated to features of the image appearing inside the area of interest and enlarging a portion of the image inside the area of interest. It will also be appreciated that the above described exemplary techniques for emphasizing portions of the image inside the area of interest are not meant as an exhaustive list of such techniques and that other suitable techniques may be used without detracting from the spirit of the invention.


Concurrently De-emphasizing Portions Outside the Area of Interest Emphasizing Features Inside the Area of Interest


In addition, it will be appreciated that embodiments of the invention may also concurrently de-emphasize portions of the image outside the area of interest and emphasize features of the image inside the area of interest without detracting from the spirit of the invention.


Portions Surrounding the Area of Interest


Optionally, the processing unit 300 processes the image received at input 304 to modify portions of areas surrounding the area of interest to generate the enhanced image. In a specific example, the processing unit 300 modifies portions of areas surrounding the area of interest includes applying a blurring function to the edges surrounding the area of interest. In a specific example of implementation, the edges of the area of interest are blurred. Advantageously, blurring the edges of the area of interest accentuates the contrast between the area of interest and the portions of the image outside the area of interest.


Multiple Areas of Interest


It will be appreciated that, although the above described examples describe situations in which a single area of interest is conveyed by the information received from the automated threat detection processor 106, implementations of the invention adapted from processing information indicating a plurality of areas of interest in the image are within the scope of the invention. As such, the processing unit 300 is adapted for receiving at input 306 information from an automated threat detection processor, such as automated threat detection processor 106, indicating a plurality of areas of interest in the image potentially containing respective prohibited objects. The processing unit 300 then processes the image received at input 304 to generate the enhanced image. The processing of the image is performed using the same principles as those described above with reference to information conveying a single area of interest. The person skilled in the art will readily appreciate, in light of the present description, the manner in which the processing unit 300 may be adapted for processing information conveying a plurality of areas of interest without required further guidance.


Returning to FIG. 3, the output 310 is for releasing a signal for causing the output device 202 (shown in FIG. 2) to display the graphical user interface module implemented by processing unit 300. A graphical user interface module implemented by apparatus 200 in accordance with a specific example of implementation is described in greater detail herein below with reference to FIG. 5.


Graphical User Interface Module Example


With reference to FIG. 5, there is shown a display generated by a graphical user interface module implemented in accordance with a non-limiting implementation on the invention.


As depicted, the user interface module provides a viewing window 500 including a viewing space 570 for displaying an enhanced image 502 wherein areas of interest 504a and 504b are displayed to the user in a visually contrasting manner relative to portions of the image outside the areas of interest 506. In this fashion, an operator's attention can be focused on the areas interest 504a and 504b of the image which are the areas most likely to contain prohibited objects.


In the example depicted, portions of the image outside the areas of interest 504a and 504b have been de-emphasized. Amongst possible other processing, portions of the image outside the areas of interest 504a and 504b, generally designated with reference numeral 506, have been attenuated by reducing contrasts between the features and the background. These portions appear paler relative to the areas of interest 504a and 504b. In the example depicted, features depicted in the areas of interest 504a and 504b have also been emphasized by using contrast-stretching tools to increase the level of contrast between the features depicted in the areas of interest 504a and 504b and the background. Finally, as depicted in the figure, the edges 508a and 508b surrounding the area of interest 504a and 504b have been blurred to accentuates the contrast between the areas of interest 504a and 504b and the portions of the image outside the areas of interest 504a and 504b. The location of the areas of interest 504a and 504b was derived on the basis of the information received at input 306 (shown in FIG. 3) from the automated threat detection processor 106.


Optionally, the user interface module also provides a set of controls 510512514516550518 and 520 for allowing a user to providing commands for modifying features of the graphical user interface module to change the appearance of the enhanced image 502 displayed in the viewing window 500.


In a specific implementation, the controls in the set of controls 510512514516550518 allow the user to change the appearance of the enhanced image displayed in the viewing window 500 by using an input device in communication with the apparatus 200 (shown in FIG. 3) through user input 308. In the example depicted, the controls in the set of controls 510512514516550518 are in the form of a buttons that can be selectively actuated by a user. Examples of user input devices include, without being limited to, a mouse, a keyboard, a pointing device, a speech recognition unit and a touch sensitive screen. In an alternative embodiment, the controls may be provided as a physical button (or key) on a keyboard or other input device that can be selectively actuated by a user. In such an implementation, the physical button (or key) is in communication with the apparatus 200 (shown in FIG. 3) through user input 308. Suitable forms of user controls other than buttons may also be used without detracting from the spirit of the invention.


It will be apparent that certain controls in the set of controls 510512514516550518 may be omitted from certain implementations and that additional controls may be included in alternative implementations of a user interface without detracting from the spirit of the invention.


In the specific example of implementation depicted, functionality is provided to the user for allowing the latter to select for display in viewing window 500 the “original” image received at input 304 of apparatus 200 (shown in FIG. 3) or the enhanced image generated by apparatus 200. In a specific example, such functionality is enabled by displaying a control on the user interface allowing a user to effect the selection. In FIG. 5 this control is embodied as control button 510 which may be actuated by the user via a user input device to toggle between the enhanced image and the “original” image for display in viewing window 500. Other manners for providing such functionality will become readily apparent to the person skilled in the art in light of the present description and as such will not be described further here.


In the specific example of implementation depicted, functionality is also provided to the user for allowing the latter to select a level of enlargement from a set of possible levels of enlargement to be applied to the image in order to derive the enhanced image for display in the viewing window 500. The functionality allows the user to independently control the scale of features appearing in areas of interest 504a and 504b relative to the scale of features in portions of the image outside the areas of interest 504a and 504b. In a specific example, such functionality may be enabled by displaying a control on the user interface allowing a user to effect the selection of the level of enlargement. In FIG. 5 this control is embodied as control buttons 512 and 514 which may be actuated by the user via a user input device. In the example depicted, by actuating button 514, the enlargement factor (“zoom-in”) to be applied to the areas of interest 504a and 504b by the processing unit 300 (shown in FIG. 3) is increased and by actuating button 512 the enlargement factor (“zoom-out”) to be applied to the areas of interest 504a and 504b is decreased. It will be readily apparent to the person skilled in the art that other type of controls for allowing a user to select a level of enlargement from a set of levels of enlargement may be envisaged without detracting from the spirit of the invention. In a specific example of implementation, the set of possible levels of enlargement includes at least two levels of enlargement. In a non-limiting example, one of the levels of enlargement is a “NIL” level wherein features of the portion of the enhanced image inside the area of interest appear on a same scale as features in portions of the enhanced image outside the area of interest. In other examples of implementation, the set of possible levels of enlargement includes two or more distinct levels of enlargement other that the “NIL” level. The enhanced image is such that portions inside the areas of interest are enlarged at least in part based on the selected level of enlargement. It will also be appreciated that although the above refers to a level of “enlargement” to be applied to the areas of interest 504a and 504b, a corresponding level of “shrinkage” may instead be applied to portions of the image outside the areas of interest 504a and 504b so that in the resulting enhanced image features in the areas of interest appear on a larger scale than portions of the image outside the area of interest. Other manners for providing such functionality will become readily apparent to the person skilled in the art in light of the present description and as such will not be described further here.


In another specific example of implementation, not depicted in the figure, functionality is also provided to the user for allowing the latter to select a zoom level to be applied to derive the enhanced image 502 for display in the viewing window 500. The functionality allows the user to change the zoom amount to be applied to the image depicted in the viewing space of viewing window 500. This zoom level functionality differs from the level of enlargement functionality described above, and enabled by buttons 512 and 514, in that the zoom level functionality affects the entire image with a selected zoom level. In other words, modifying the zoom level does not affect the relative scale between the areas of interest and portions of the image outside the area of interest remains. In a specific example, such functionality may be enabled by displaying a control on the user interface allowing a user to effect the selection of the zoom level. Any suitable type of control for allowing a user to select a zoom level may be envisaged in specific implementations of the user interface module.


In the specific example of implementation depicted, functionality is also provided to the user for allowing the latter to select a level of enhancement from a set of possible levels of enhancement. The functionality allows the user to independently control the type of enhancement to be applied to the original image to generate the enhanced image for display in the viewing window 500. In a specific example of implementation, the set of possible levels of enhancement includes at least two levels of enhancement. In a non-limiting example, one of the levels of enhancement is a “NIL” level wherein the areas of interest are not emphasized and the portions of the images outside the areas of interest are not de-emphasized. In other examples of implementation, the set of possible levels of enlargement includes two or more distinct levels of enhancement other that the “NIL” level. In a specific example of implementation, each level of enhancement in the set of levels of enhancement is adapted for causing an enhanced image to be derived wherein:

    • portions inside the areas of interest are visually emphasized at least in part based on the selected level of enhancement; or
    • portions outside the areas of interest are visually de-emphasized at least in part based on the selected level of enhancement; or
    • portions inside the areas of interest are visually emphasized and portions outside the areas of interest are visually de-emphasized at least in part based on the selected level of enhancement.


For example, the different levels of enhancement may cause the processing unit 300 to apply different types of image processing functions or different degrees of image processing such as to modify the appearance of the enhanced image depicted in the viewing window 500. Advantageously, this allows the user to adapt the appearance of the enhanced image 502 based on either user preferences or in order to view an image in a different manner to facilitate visual identification of a prohibited object. In a specific example, the above-described functionality may be enabled by providing a control on the user interface allowing a user to effect the selection of the level of enhancement. In FIG. 5 this control is embodied as control button 550 which may be actuated by the user via a user input device. In the example depicted, by actuating button 550 the type of enhancement to be applied by the processing unit 300 (shown in FIG. 3) is modified based on a set of predetermined levels of enhancement. In an alternative implementation, not shown in the figures, a control in the form of a drop-down menu providing a set of possible levels of enhancement is provided. The user is able to select a level of enhancement from the set of levels of enhancement to modify the type of enhancement to be applied by the processing unit 300 (shown in FIG. 3) to generate the enhanced image. It will be readily apparent to the person skilled in the art that other type of controls for allowing a user to select a level of enhancement from a set of levels of enhancement may be envisaged without detracting from the spirit of the invention.


In a specific example of implementation, not shown in the figures, functionality is also provided to the user for allowing the latter to independently control the amount of enhancement to be applied to the area(s) of interest of the images and the amount of enhancement to be applied to portions of the image outside of the area(s) of interest. In a specific example, the above-described functionality may be enabled by providing on a user interface a first user control for enabling the user to select a first selected level of enhancement, and a second user control is provided for allowing a user to select a second level of enhancement. The processing unit generates the enhanced image such that:

    • portions inside the area of interest are visually emphasized at least in part based on the selected second level of enhancement; and
    • portions outside the area of interest are visually de-emphasized at least in part based on the selected first level of enhancement.


Optionally still, the user interface module is adapted for displaying a control 518 for allowing a user to modify other configuration elements of the user interface. In accordance with a non-liming specific implementation, actuating control 518 causes the user interface module to displays a control window 600 of the type depicted in FIG. 6 allowing a user to select screening options. In the specific example depicted, the user is enabled to select between the following screening options:

    • Generate a report data 602: this option allows a report to be generated detailing information associated to the screening of the receptacle. In the example depicted, this is done by providing a control in the form of a button that can be toggled between an “ON” state and an “OFF” state. It will be readily apparent that other suitable forms of controls may also be used without detracting from the spirit of the invention. The information generated in the report may include, without being limited to, time of the screening, identification of the security personnel operating the screening system, identification of the receptacle and/or receptacle owner (e.g. passport number in the case of a customs screening), locations information, area of interest information, confidence level information, identification of the prohibited object detected and description of the handling that took place and the results of the handling amongst others. Advantageously, this report allows a tracking of the screening operation.
    • Display warning window 606: this option allows a user to cause a visual indicator in the form of a warning window to be removed from or displayed on the user interface module when a prohibited object is detected in a receptacle.
    • Set threshold sensitivity/confidence level 608: this option allows a user to modify the detection sensitivity level of the screening system. In specific implementations, this may be done by providing a control in the form of a text box, sliding ruler (as shown in the figure), selection menu or other suitable type of control allowing the user to select between a range of detection sensitivity levels. It will be readily apparent that other suitable forms of controls may also be used without detracting from the spirit of the invention.


The person skilled in the art in light of the present description will readily appreciate that other options may be provided to the user and that certain options described above may be omitted from certain implementations without detracting from the spirit of the invention. As a variant, certain options may be selectively provided to certain users or, alternatively, may require a password to be modified. For example, the setting threshold sensitivity/confidence level 608 may only be made available to user having certain privileges (examples screening supervisors or security directors). As such, the user interface module may include some type of user identification functionality, such as a login process, to identify the user of the screening system. Alternatively, the user interface module, upon selection by the user of the setting threshold sensitivity/confidence level 608 option, may prompt the user to enter a password for allowing the user to modify the detection sensitivity level of the screening system.


Optionally still, the user interface module is adapted for displaying a control 520 for allowing a user to login/log-out of the system in order to provide user identification functionality. Manners in which user identification functionality can be provided are well-known in the art and are not critical to the present invention and as such will not be described further here.


Optionally still, not shown in the figures, the user interface module is adapted to allow the user to add complementary information to the information being displayed on the user interface. In a specific example of implementation, the user is enabled to insert markings in the form of text and/or visual indicators in the image displayed on the user interface. The marked-up image may then be transmitted to a third party location, such as a checking station, so that the checking station is alerted to verify the marked portion of the receptacle to locate a prohibited object. In such an implementation, the user input 308 (depicted in FIG. 3) receives signals from a user input device, the signals conveying commands for marking the image displayed in the user interface. Any suitable user input device for providing user commands may be used such as, for example, a mouse, keyboard, pointing device, speech recognition unit or touch sensitive screen. The specific manner in which the functionality for marking the image is provided is not critical to the present invention and as such will not be described further here.


Previously Screened Receptacles


In accordance with a specific example of implementation, apparatus 200 shown in FIG. 3 is adapted for storing information associated with receptacles so that this information may be accessed at a later time. More specifically, for a given receptacle, the apparatus 200 is adapted for receiving at first input 304 data conveying an image of the contents of the receptacle derived from an apparatus that scans the receptacle with penetrating radiation and at second input 306 information from an automated threat detection processor indicating an area of interest in the image potentially containing a prohibited object. The processing unit 300 of apparatus 200 is adapted for generating a record associated to the screened receptacle. The record includes the image of the contents of the receptacle received at the first input 304 and the information received at second input 306. Optionally, the record may also include additional information such as for example a time stamp, identification data conveying the type of prohibited object potentially detected, the level of confidence of the detection, a level of risk data element, an identification of the screener, the location of the screening station, identification information associated to the owner of the receptacle and/or any other suitable type of information that may be of interest to a user of the system for later retrieval. The record is then stored in memory 350 for later access.


The generation of a record may be effected for all receptacles being screened or for selected receptacles only. In practical implementations of the inventions, in particular in areas where traffic levels are high and a large number of receptacles are screened, it may be preferred to selectively store the images of the receptacles rather than storing images for all the receptacles. The selection of which images to store may be effected by the user of the user interface by providing a suitable control on the user interface for receiving user command to that effect. Alternatively, the selection of which images may be effected in the basis of information received from the automated threat detection processor 106. For example, a record may be generated for a given object when a prohibited object was potentially detected in the receptacle as could be conveyed by a signal received from the automated threat detection processor 106.


A process for facilitating visual identification of prohibited objects in images associated with previously screened receptacles is depicted in FIG. 7 of the drawings.


As shown, at step 700, a plurality of records associated to previously screened receptacles are provided. In a non-limiting example of implementation, apparatus 200 enables step 700 by providing the memory 350 for storing a plurality of records associated to respective previously screened receptacles. As described above, each record includes an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation and information derived from an automated threat detection processor and indicating an area of interest in the image potentially containing a prohibited object.


At step 702, a set of thumbnail images derived from the plurality of records is displayed in viewing space 572. In a specific example of implementation, processing unit 300 is adapted for displaying a set of thumbnail images 522 in viewing space 572, each thumbnail image 526a 526b 526c in the set of thumbnail images 522 being derived from a record in the plurality of records stored in memory unit 350 (shown in FIG. 3).


At step 704 a user in enabled to select at least one thumbnail image from the set of thumbnail images 522. The selection may be effected on the basis of the images themselves or by allowing the user to specify either a time or time period associated to the records. In the specific example depicted, the user can select thumbnail image from the set of thumbnail images 522 using a user-input device to actuate the desired thumbnail image. Any suitable user input device for providing user commands may be used such as, for example, a mouse, keyboard, pointing device, speech recognition unit or touch sensitive screen.


At step 706, an enhanced image derived from a record corresponding to the selected thumbnail image is displayed in a second viewing space 570. More specifically, in response to a selection of a thumbnail image from the set of thumbnail images, an enhanced image derived from the certain record corresponding to the selected thumbnail image is displayed in viewing space 570. When multiple thumbnail images are selected, the corresponding enhanced images may be displayed concurrently with another or may be displayed separately in viewing space 570.


The enhanced imaged derived from the certain record corresponding to the selected thumbnail image may be derived in a similar manner as that described previously in the present specification. For example, for a given record in the database of records including a certain image and information conveying a certain area of interest in the image, portions of the certain image outside the certain area of interest may be visually de-emphasized to generate the enhanced image. In a second example of implementation, features appearing inside the certain area of interest are visually emphasized to generate the enhanced image. In yet another example, the portions of the image outside the certain area of interest are visually de-emphasized and features appearing inside the certain area of interest are visually emphasized to generate the enhanced image. The manner in which the portions of the certain image outside the certain area of interest may be visually de-emphasized and features appearing inside the certain area of interest may visually emphasized have been previously described in the present applicable and as such will not be described further here.


In the specific example of implementation depicted, functionality is also provided to the user for allowing the latter to scroll through a plurality of thumbnail images so the different sets of the thumbnail images may be displayed in viewing space 572. In a specific example, such functionality may be enabled by displaying a control on the user interface allowing a user to scroll through plurality of thumbnail images. In FIG. 5 this control is embodied as scrolling controls 524 which may be actuated by the user via a suitable user input device.


Optionally, each thumbnail image in the set of thumbnail images conveys information derived from an associated time stamp data element. In the example depicted in FIG. 5, this is done by displaying timing information 528. Optionally, not shown in the figures, each thumbnail image in the set of thumbnail images conveys information derived from an associated level of risk data element. It will be readily apparent to the person skilled in the art that any suitable additional type of information may be displayed or conveyed in connection with the thumbnail images without detracting from the spirit of the invention.


Optionally, the user interface module implemented by apparatus 200 (shown in FIG. 2) includes functionality for enabling a user to select between an enhanced image associated to a previously screened receptacle, herein referred to as enhanced previous image, and an enhanced image associated with a receptacle currently being screened. The selected image is then displayed in viewing space 570. More specifically, data conveying a current image of the contents of a currently screened receptacle derived from an apparatus that scans the currently screened receptacle with penetrating radiation is received at first input 304 of apparatus 200 (shown in FIG. 2). In addition, information from an automated threat detection processor indicating an area of interest in the current image potentially containing a prohibited object is received at second input 306 of apparatus 200 (also shown in FIG. 2). The processing unit 300 is adapted for processing the current image to generate an enhanced current image in which portions outside the area of interest are visually de-emphasized. The user interface module enables the user to select between an enhanced previous image and the enhanced current image by providing a user operable control (not show in the figures) to effect the selection.


Optionally, as depicted in FIG. 5, functionality is provided for conveying a perceived level of threat associated to a receptacle. In a specific example of implementation, this perceived level of threat is derived based on a confidence level data element received from an automated threat detection processor such as automated threat detection processor 106 depicted in FIG. 1. The confidence level conveys a likelihood that a threat was positively detected in the receptacle. The perceived level of threat may be the confidence level or may be conditioned on the basis of external actors such as a national emergency status for example. In the embodiment depicted, the perceived level of threat is conveyed through the use of a graphical threat probability scale 590 including various graduated levels of threats. In addition, in the embodiment depicted, the perceived level of threat is also conveyed through the use of a message at the top of the screen. The message to be displayed is conditioned on the basis of the confidence level and on the basis of a threshold sensitivity/confidence level. As described above, the threshold/sensitivity level may be a parameter of the user interface configurable by the user or may be a predetermined value. In a specific example, if the confidence level exceeds the threshold sensitivity/confidence level, a warning message of the type: “DANGER: OPEN BAG” or “SEARCH REQUIRED” may be displayed. If the confidence level is below the threshold sensitivity/confidence level, either no message may be displayed or an alternative message of the type” NO THREAT DETECTED—SEARCH AT YOUR DISCRETION” may be displayed.


Automated Threat Detection Processor 106


The automated threat detection processor 106 shown in FIG. 1 will now be described in greater detail with reference to FIG. 8. As depicted, the automated threat detection processor 106 includes a first input 810, a second input 814, an output 812 and a processing unit, generally comprising a pre-processing module 800, an image comparison module 802, an area of interest locator module 804 and an output signal generator module 806.


In a specific example of implementation if the invention, either one or both of the region of the interest locator module 804 and the image comparison module 802 may generate information conveying an area of interest. In a non-limiting example of implementation, the area of interest locator module 804 is adapted for generating information conveying one or more regions of interest based on characteristics inherent to the image conveying contents of a receptacle. In a non-limiting example of implementation where the image is an x-ray image, the characteristics inherent to the image include, without being limited to, density information conveyed by an x-ray type image example. Conversely, in this non-limiting example of implementation, the image comparison module 802 is adapted for generating information conveying one or more regions of interest based on a comparison between the image conveying contents of a receptacle and images in a database of target objects. It will readily appreciated that specific examples of implementation of the may omit either one of the image comparison module 802 and the area of interest locator module 804 for implementing the functionality for generating information conveying an area of interest the without detraction from the spirit of the invention.


The first input 810 is for receiving data conveying an image of the contents of a receptacle from the image generation apparatus 102 (shown in FIG. 1).


The second input 814 is for receiving target images from the database of prohibited objects 110. It will be appreciated that in embodiments where the database of prohibited objects 110 is part of automated threat detection processor 106, the second input 314 may be omitted.


The output 312 is for releasing information for transmittal to output module 108 indicating an area of interest in the image potentially containing a prohibited object. Optionally, the information released also conveys a level of confidence that the area of interest contains a prohibited object as well as the identity of the prohibited object potentially detected.


The processing unit of the automated threat detection processor 106 receives the data conveying an image of the contents of the receptacle 104 from the first input 810 and processes that image to derive an area of interest in the image and, optionally, to identify a prohibited object in the receptacle 104. The processing unit of the automated threat detection processor 106 generates and releases at output 812 information conveying an area of interest in the image an optionally information conveying the identity of a detected prohibited object.


The process implemented by the various functional elements of the processing unit of the automated threat detection processor 106 is depicted in FIG. 9 of the drawings. At step 900, the pre-processing module 800 receives the data conveying an image of the contents of the receptacle 104 via the first input 810. At step 901, the pre-processing module 800 processes the data in order to enhance the image, remove extraneous information therefrom and remove noise artifacts in order to obtain more accurate comparison results.


The complexity of the requisite level of pre-processing and the related trade-offs between speed and accuracy depend on the application. Examples of pre-processing may include, without being limited to, brightness and contrast manipulation, histogram modification, noise removal and filtering amongst others. It will be appreciated that all or part of the functionality of the pre-processing module 800 may actually be external to the automated threat detection processor 106, e.g., it may be integrated as part of the image generation apparatus 102 or as an external component. It will also be appreciated that the pre-processing module 800 (and hence step 901) may be omitted in certain embodiments of the present invention without detracting from the spirit of the invention. As part of step 901, the pre-processing module 800 releases data conveying a modified image of the contents of the receptacle 104 for processing by the image comparison module 802 and by the area of interest locator module 804.


At step 950, the area of interest locator module 804 processes the data conveying the modified image received from the pre-processing module 800 (or the data conveying an image of the contents of the receptacle received via the first input 810) to generate information conveying an area of interest in the image. The area of interest in the image is an area that potentially contains a prohibited object. Any suitable method to determine an area of the image of (or modified image of) contents of a receptacle that potentially contains a prohibited object may be used. In a specific example, the area of interest locator module 804 is adapted for generating information conveying area of interest based on characteristics inherent to the input image. In a first specific example of implementation, the image is an x-ray image conveying information related to the material density associated to contents of the receptacle. The area of interest locator module 804 is adapted to process the image and identify areas including a certain concentration of elements characterized by a certain material density, say for example metallic-type elements, and label these areas as areas of interest. Characteristics such as the size of the area exhibited the certain density may also be taken into account to identify an area of interest. It will be apparent to the person skilled in the art that other suitable methods for identifying regions of interest in an image may be used. Many such methods are known in the art and as such will not be described further here.


At step 902, the image comparison module 802 verifies whether there remain any unprocessed target images in the database of prohibited objects 110. In the affirmative, the image comparison module 802 proceeds to step 903 where the next target image is accessed and the image comparison module 802 then proceeds to step 904. If at step 902 all target images in the database of prohibited objects 110 have been processed, the image comparison module 802 proceeds to step 908 and the process is completed.


At step 904, the image comparison module 802 compares the image (or modified image) of the contents of the receptacle 104 against the target image accessed at step 903 to determine whether a match exists. The comparison may be effected using any image processing algorithm suitable for comparing two images. Optionally, the comparison may make use of the area of interest information generated by the area of interest locator module to limit the comparison operation to the area of interest. Examples of algorithms that can be used to perform image processing and comparison include without being limited to:


A—Image Enhancement

    • Brightness and contrast manipulation
    • Histogram modification
    • Noise removal
    • Filtering


B—Image Segmentation

    • Thresholding
      • Binary or multilevel
      • Hysteresis based
      • Statistics/histogram analysis
    • Clustering
    • Region growing
    • Splitting and merging
    • Texture analysis
    • Watershed
    • Blob labeling


C—General detection

    • Template matching
    • Matched filtering
    • Image registration
    • Image correlation
    • Hough transform


D—Edge Detection

    • Gradient
    • Laplacian


E—Morphological Image Processing

    • Binary
    • Grayscale


F—Frequency Analysis

    • Fourier Transform
    • Wavelets


G—Shape Analysis and Representations

    • Geometric attributes (e.g. perimeter, area, euler number, compactness)
    • Spatial moments (invariance)
    • Fourier descriptors
    • B-splines
    • Chain codes
    • Polygons
    • Quad tree decomposition


H—Feature Representation and Classification

    • Bayesian classifier
    • Principal component analysis
    • Binary tree
    • Graphs
    • Neural networks
    • Genetic algorithms
    • Markov random fields


The above algorithms are well known in the field of image processing and as such will not be described further here.


In a specific example of implementation, the image comparison module 802 includes an edge detector to perform part of the comparison at step 904. In another specific example of implementation, the comparison performed at step 904 includes effecting a correlation operation between the image (or modified image) of contents of the receptacle and the target images in the database 110. In a specific example of implementation, the correlation operation is performed by an optical correlator. In an alternative example of implementation, the correlation operation is performed by a digital correlator. In yet another implementation, a combination of methods is used to effect the comparison of step 904. The results of the comparisons are then combined to obtain a joint comparison result.


The image comparison module 802 then proceeds to step 906 where the result of the comparison effected at step 904 is processed to determine whether a match exists between the image (or modified image) of the contents of receptacle 104 and the target image. In a specific example of implementation, the comparison at step 904 generates a score conveying a likelihood that there is a match between a portion of the image (or modified image) of the contents of receptacle 104 and the target image. A match is detected of the score obtained by the comparison at step 904 is above a certain threshold score. This score can also be considered as the confidence level associated to detection of a match. In the absence of a match, the image comparison module 802 returns to step 902. In response to detection of a match, the image comparison module 802 triggers the output signal generator module 806 to execute step 910. Then, the image comparison module 802 returns to step 902 to continue processing with respect to the next target image.


At step 910, the output signal generator module 806 generates information conveying the presence of a prohibited object in the receptacle 104, and the information is released at output 812. The information conveys positioning information associated to the prohibited object within the image received at input 810. The positioning information conveys an area of interest in the image where the prohibited object is potentially located which was derived either from the area of interest locator module 804 or the image comparison module 802. The information may be conveyed in any suitable format. In a non-limiting example, the information may convey a plurality of (X,Y) pixel locations defining an area in the image of the contents of a receptacle. In another non-limiting example of implementation, the information conveys an (X,Y) pixel location conveying the center of an area in the image. Optionally, the information released also conveys a level of confidence that the area of interest contains a prohibited object. Optionally still an identification of the prohibited object potentially detected in the image is also provided.


Alternative Embodiment
Screening of Persons

Although the above-described screening system was described in connection with screening of receptacles, the concepts described above can also be applied to the screening of people.


For example, in an alternative embodiment, a system for screening people is provided. The system includes components similar to those described in connection with the system depicted in FIG. 1. In a specific example of implementation, the image generation apparatus 102 is configured to scan a person and possibly to scan the person along various axes and/or views to generate multiple images associated to the person. The image or images associated with the person convey information related to the objects carried by the person. Each image is then processed in accordance with the method described in the present specification to facilitate visual identification of a prohibited object on the person.


Optionally, in the case of a system for screening people, database of prohibited objects 110 may further include entries associated to non-prohibited objects and/or objects that do not represent a potential threat. Such entries may be used to detect objects commonly carried by people such as cell-phones, watches and rings, for example, which are not prohibited and not threatening. Advantageously, by identifying such objects unnecessary manual verifications can be avoided.


Specific Physical Implementation


Certain portions of the apparatus 200 for implementing a user interface (shown in FIG. 3) can be implemented on a general purpose digital computer 1300, of the type depicted in FIG. 10, including a processing unit 1302 and a memory 1304 connected by a communication bus. The memory includes data 1308 and program instructions 1306. The processing unit 1302 is adapted to process the data 1308 and the program instructions 1306 in order to implement the functional blocks described in the specification and depicted in the drawings. The digital computer 1300 may also comprise an I/O interface 1310 for receiving or sending data elements to external devices.


Similarly, certain portions of the automated threat detection processor 106 can also be implemented on a general purpose digital computer having a similar structure as that described in connection with FIG. 10. Certain portions of the automated threat detection processor 106 and of the apparatus 200 for implementing a user interface may be implemented on a same general purpose digital computer without detracting from the spirit of the invention.


Alternatively, the above-described automated threat detection processor 106 can be implemented on a dedicated hardware platform where electrical/optical components implement the functional blocks described in the specification and depicted in the drawings. Specific implementations may be realized using ICs, ASICs, DSPs, FPGA, an optical correlator, digital correlator or other suitable hardware platform.


Other alternative implementations of the automated threat detection processor 106 and the apparatus 200 for implementing a user interface can be implemented as a combination of dedicated hardware and software such as apparatus 1000 of the type depicted in FIG. 11. As shown, such an implementation comprises dedicated image processing hardware module 1008 and a general purpose computing unit 1006 including a CPU 1012 and a memory 1014 connected by a communication bus. The memory includes data 1018 and program instructions 1016. The CPU 1012 is adapted to process the data 1018 and the program instructions 1016 in order to implement the functional blocks described in the specification and depicted in the drawings. The CPU 1012 is also adapted to exchange data with the dedicated image processing hardware module 1008 over communication link 1010 to make use of the image processing capabilities of the dedicated image processing hardware module 1008. The apparatus 1000 may also comprise I/O interfaces 10021004 for receiving or sending data elements to external devices.


It will be appreciated that the screening system 100 (depicted in FIG. 1) may also be of a distributed nature where the images of contents of receptacles are obtained at one location or more locations and transmitted over a network to a server unit implementing the method described above. The server unit may then transmit a signal for causing an output unit to display information to the user. The output unit may be located in the same location where the images of contents of receptacles were obtained or in the same location as the server unit or in yet another location. In a non-limiting implementation, the output unit is part of a centralized screening facility. FIG. 12 illustrates a network-based client-server system 1100 for system for screening receptacles. The client-server system 1100 includes a plurality of client systems 1102, 1104, 1106 and 1108 connected to a server system 1110 through network 1112. The communication links 1114 between the client systems 1102, 1104, 1106 and 1108 and the server system 1110 can be metallic conductors, optical fibers or wireless, without departing from the spirit of the invention. The network 1112 may be any suitable network including but not limited to a global public network such as the Internet, a private network and a wireless network. The server 1110 may be adapted to process and issue signals concurrently using suitable methods known in the computer related arts.


The server system 1110 includes a program element 1116 for execution by a CPU. Program element 1116 includes functionality to implement the methods described above, including a method for displaying information associated to a receptacle and for facilitating visual identification of a prohibited object in an image during security screening, and includes the necessary networking functionality to allow the server system 1110 to communicate with the client systems 1102, 1104, 1106 and 1108 over network 1112. In a specific implementation, the client systems 1102, 1104, 1106 and 1108 include display units responsive to signals received from the server system 1110 for displaying a user interface module implementation by the server system 1110.


Although the present invention has been described in considerable detail with reference to certain preferred embodiments thereof, variations and refinements are possible without departing from the spirit of the invention. Therefore, the scope of the invention should be limited only by the appended claims and their equivalents.

Claims
  • 1. A computer implemented method for facilitating visual identification of prohibited objects in images, said method comprising: a. providing a computer readable storage medium for storing a plurality of records, at least some of said records being associated with respective receptacles previously screened at a security checkpoint and including data conveying: i. an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation;ii. threat assessment information derived using an automated threat detection processor;b. using a processor in communication with said computer readable storage medium, processing records in said computer readable medium to display on a display device a first viewing space conveying a sequence of thumbnail images, the sequence of thumbnail images being associated with receptacles screened over a time period at the security checkpoint;c. providing an input for enabling a user to enter selection information to select a receptacle amongst the receptacles screened at the security checkpoint over the time period by selecting a thumbnail image in the sequence of thumbnail images conveyed in the first viewing space;d. using the processor, processing the selection information provided by the user and causing a second viewing space displayed concurrently with the first viewing space to convey an enhanced image of the selected receptacle, wherein the enhanced image is derived based on data in a record in the plurality of records associated with the selected thumbnail image and conveys threat assessment information associated with the selected receptacle.
  • 2. A method as defined in claim 1, wherein the input provided for enabling the user to enter selection information is selected from the set consisting of a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen.
  • 3. A method as defined in claim 1, said method including displaying a user operable control for enabling the user to modify the sequence of thumbnail images displayed in the first viewing space by modifying the time period.
  • 4. A method as defined in claim 3, wherein said user operable control is a scrolling control.
  • 5. A method as defined in claim 1, wherein at least some records in said plurality of records associated with respective previously screened receptacles include data conveying respective perceived threat levels associated with respective previously screened receptacles.
  • 6. A method as defined in claim 1, wherein at least some records in said plurality of record associated with respective previously screened receptacles include respective time stamp data elements.
  • 7. A method as defined in claim 1, wherein said method comprises deriving the enhanced image at least in part by processing data conveying an image of the selected receptacle based on threat assessment information in the record associated with the selected thumbnail image.
  • 8. A method as defined in claim 7, wherein the threat assessment information in the record associated with the selected thumbnail image conveys an area of interest in the image of the selected receptacle potentially containing a prohibited object, said method comprising deriving the enhanced image at least in part by processing the data conveying the image of the selected receptacle to visually emphasize portions of the enhanced image inside the certain area of interest.
  • 9. A method as defined in claim 7, wherein the threat assessment information in the record associated with the selected thumbnail image conveys an area of interest in the image of the selected receptacle potentially containing a prohibited object, said method comprising deriving the enhanced image at least in part by processing the data conveying the image of the selected receptacle to visually de-emphasize portions of the enhanced image outside the certain area of interest.
  • 10. An apparatus for facilitating visual identification of prohibited objects in images, said apparatus comprising: a. a memory suitable for storing a plurality of records associated with respective receptacles previously screened at a security checkpoint, at least some of said records including data conveying: i. an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation;ii. threat assessment information derived using an automated threat detection processor;b. a processing unit in communication with said memory unit, said processing unit being programmed for: i. displaying on a display device a first viewing space conveying a sequence of thumbnail images, the sequence of thumbnail images being associated with receptacles screened over a time period at the security checkpoint;ii. enabling a user to enter selection information to select a receptacle amongst the receptacles screened at the security checkpoint over the time period by selecting a thumbnail image in the sequence of thumbnail images conveyed in the first viewing space;iii. processing the selection information provided by the user and causing a second viewing space displayed concurrently with the first viewing space to convey an enhanced image of the selected receptacle, wherein the enhanced image is derived based on data in a record in the plurality of records associated with the selected thumbnail image and conveys threat assessment information associated with the selected receptacle.
  • 11. An apparatus as defined in claim 10, wherein said processing unit is programmed for enabling the user to provide the selection information by using an input device selected from the set consisting of a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen.
  • 12. An apparatus as defined in claim 10, wherein said processing unit is programmed for displaying a user operable control for enabling the user to modify the sequence of thumbnail images displayed in the first viewing space by modifying the time period.
  • 13. An apparatus as defined in claim 12, wherein said user operable control is a scrolling control.
  • 14. An apparatus as defined in claim 10, wherein at least some records in said plurality of records associated with respective previously screened receptacles include data conveying respective perceived threat levels associated with respective previously screened receptacles.
  • 15. An apparatus as defined in claim 10, wherein at least some records in said plurality of records associated with respective previously screened receptacles include respective time stamp data elements.
  • 16. An apparatus as defined in claim 10, wherein said processing unit is programmed for deriving the enhanced image at least in part by processing data conveying an image of the selected receptacle based on threat assessment information in the record associated with the selected thumbnail image.
  • 17. An apparatus as defined in claim 16, wherein the threat assessment information in the record associated with the selected thumbnail image conveys an area of interest in the image of the selected receptacle potentially containing a prohibited object, said processing unit being programmed for deriving the enhanced image at least in part by processing the data conveying the image of the selected receptacle to visually emphasize portions of the enhanced image inside the certain area of interest.
  • 18. An apparatus as defined in claim 16, wherein the threat assessment information in the record associated with the selected thumbnail image conveys an area of interest in the image of the selected receptacle potentially containing a prohibited object, said processing unit being programmed for deriving the enhanced image at least in part by processing the data conveying the image of the selected receptacle to visually de-emphasize wherein portions of the enhanced image outside the certain area of interest.
  • 19. A non-transitory computer readable storage medium storing a program element suitable for execution by a CPU for implementing a system for facilitating visual identification of prohibited objects in images, said system comprising: a. a storage unit for storing a plurality of records associated with respective receptacles previously screened at a security checkpoint, at least some of said records including data conveying: i. an image of the contents of a receptacle derived from an apparatus that scans the receptacle with penetrating radiation;ii. threat assessment information derived using an automated threat detection processor;b. a functional module in communication with said storage unit, said functional module being programmed for: i. displaying on a display device a first viewing space conveying a sequence of thumbnail images, the sequence of thumbnail images being associated with receptacles screened over a time period at the security checkpoint;ii. enabling a user to enter selection information to select a receptacle amongst the receptacles screened at the security checkpoint over the time period by selecting a thumbnail image in the sequence of thumbnail images conveyed in the first viewing space;iii. processing the selection information provided by the user and causing a second viewing space displayed concurrently with the first viewing space to convey an enhanced image of the selected receptacle, wherein the enhanced image is derived based on data in a record in the plurality of records associated with the selected thumbnail image and conveys threat assessment information associated with the selected receptacle.
  • 20. A method for facilitating visual identification of prohibited objects in images, said method comprising: a. displaying on a display device a first viewing space conveying a sequence of images of receptacles screened at a security checkpoint over a time period;b. providing a user operable control for enabling a user to provide selection information to select a receptacle amongst the receptacles screened at the security checkpoint over the time period by selecting an image in the sequence of images displayed in the first viewing space;c. processing the selection information provided by the user and causing a second viewing space displayed concurrently with the first viewing space to convey an enhanced image of the selected receptacle, wherein the enhanced image is derived at least in part based on data obtained by scanning the receptacle selected by the user using penetrating radiation and wherein the enhanced image conveys threat assessment information associated with the selected receptacle.
  • 21. A method as defined in claim 20, wherein said control enables the user to provide selection information by using an input device selected from the set consisting of a mouse, keyboard, pointing device, speech recognition unit and touch sensitive screen.
  • 22. A method as defined in claim 20, said method comprising displaying a user operable control for enabling the user to modify the sequence of images displayed in the first viewing space by modifying the time period.
  • 23. A method as defined in claim 22, wherein said user operable control is a scrolling control.
  • 24. A method as defined in claim 20, wherein the threat assessment information conveyed by the enhanced image is derived at least in part by using an automated threat detection processor.
  • 25. A method as defined claim 24, wherein the threat assessment information includes an indication of an area of interest in the receptacle.
  • 26. A method as defined in claim 20, wherein at least some images in said sequence of images are associated with respective level of risk data elements conveying a perceived threat level associated with corresponding receptacles.
  • 27. A method as defined in claim 20, wherein at least some images in said sequence of images are associated with respective time stamp data elements.
  • 28. An apparatus for facilitating visual identification of prohibited objects in images, said apparatus comprising a processing unit programmed for: a. displaying on a display device in communication with said processing unit a first viewing space conveying a sequence of images of receptacles screened at a security checkpoint over a time period;b. providing a user operable control for enabling a user to provide selection information to select a receptacle amongst the receptacles screened at the security checkpoint over the time period by selecting an image in the sequence of images displayed in the first viewing space;c. processing the selection information provided by the user and causing a second viewing space displayed concurrently with the first viewing space to convey an enhanced image of the selected receptacle, wherein the enhanced image is derived at least in part based on data obtained by scanning the receptacle selected by the user using penetrating radiation and wherein the enhanced image conveys threat assessment information associated with the selected receptacle.
  • 29. A non-transitory computer readable storage medium storing a program element suitable for execution by a CPU, said program element implementing a system for facilitating visual identification of prohibited objects in images, said system being configured for: a. displaying on a display device a first viewing space conveying a sequence of images associated with receptacles screened at a security checkpoint;b. providing a user operable control for enabling a user to provide selection information to select a receptacle amongst the receptacles screened at the security checkpoint over the time period by selecting an image in the sequence of images displayed in the first viewing space;c. processing the selection information provided by the user and causing a second viewing space displayed concurrently with the first viewing space to convey an enhanced image of the selected receptacle, wherein the enhanced image is derived at least in part based on data obtained by scanning the receptacle selected by the user using penetrating radiation and wherein the enhanced image conveys threat assessment information associated with the selected receptacle.
US Referenced Citations (656)
Number Name Date Kind
4338626 Lemelson Jul 1982 A
4379348 Haas et al. Apr 1983 A
4383327 Kruger May 1983 A
4470303 O'Donnell Sep 1984 A
4480899 Sprague Nov 1984 A
4481575 Bazlen et al. Nov 1984 A
4482958 Nakayama et al. Nov 1984 A
4509075 Simms et al. Apr 1985 A
4573198 Anderson Feb 1986 A
4612666 King Sep 1986 A
4637056 Sherman et al. Jan 1987 A
4651957 Minnich, II Mar 1987 A
4653109 Lemelson et al. Mar 1987 A
4722096 Dietrich et al. Jan 1988 A
4724543 Klevecz et al. Feb 1988 A
4725733 Horman et al. Feb 1988 A
4736399 Okazaki Apr 1988 A
4736401 Donges et al. Apr 1988 A
4737650 West Apr 1988 A
4756015 Doenges et al. Jul 1988 A
4759047 Donges et al. Jul 1988 A
4775895 Traupe et al. Oct 1988 A
4783794 Dietrich Nov 1988 A
4788704 Donges et al. Nov 1988 A
4795253 Sandridge et al. Jan 1989 A
4819188 Matsubara et al. Apr 1989 A
4832447 Javidi May 1989 A
4837733 Shiraishi et al. Jun 1989 A
4838644 Ochoa et al. Jun 1989 A
4841554 Doenges et al. Jun 1989 A
4849912 Leberl et al. Jul 1989 A
4862358 Kimura et al. Aug 1989 A
4869574 Hartman Sep 1989 A
4870670 Geus Sep 1989 A
4884289 Glockmann et al. Nov 1989 A
4887899 Hung Dec 1989 A
4916722 Ema Apr 1990 A
4955060 Katsuki et al. Sep 1990 A
5003616 Orita et al. Mar 1991 A
5018178 Katsumata May 1991 A
5020111 Weber May 1991 A
5022062 Annis Jun 1991 A
5034812 Rawlings Jul 1991 A
5041993 Rawlings Aug 1991 A
5056130 Engel Oct 1991 A
5060249 Eisen et al. Oct 1991 A
5063602 Peppers et al. Nov 1991 A
5065418 Bermbach et al. Nov 1991 A
5073782 Huguenin et al. Dec 1991 A
5079698 Grenier et al. Jan 1992 A
5091924 Bermbach et al. Feb 1992 A
5107351 Leib et al. Apr 1992 A
5109276 Nudelman et al. Apr 1992 A
5132811 Iwaki et al. Jul 1992 A
5132842 Yeh Jul 1992 A
5132998 Tsutsui et al. Jul 1992 A
5138167 Barnes Aug 1992 A
5150229 Takesue et al. Sep 1992 A
5179581 Annis Jan 1993 A
5181234 Smith Jan 1993 A
5198669 Namiki et al. Mar 1993 A
5216541 Takesue et al. Jun 1993 A
5239595 Takemura et al. Aug 1993 A
5243693 Maron Sep 1993 A
5257085 Ulich et al. Oct 1993 A
5257322 Matsuoka et al. Oct 1993 A
5268967 Jang et al. Dec 1993 A
5283641 Lemelson Feb 1994 A
5297222 Mori et al. Mar 1994 A
5309244 Katagiri et al. May 1994 A
5309523 Iwaki et al. May 1994 A
5311359 Lucas et al. May 1994 A
5319547 Krug et al. Jun 1994 A
5323472 Falk Jun 1994 A
5327286 Sampsell et al. Jul 1994 A
5345081 Rogers Sep 1994 A
5345173 Bito et al. Sep 1994 A
5365560 Tam Nov 1994 A
5365564 Yashida et al. Nov 1994 A
5367552 Peschmann Nov 1994 A
5371542 Pauli et al. Dec 1994 A
5375156 Kuo-Petravic et al. Dec 1994 A
5376796 Chan et al. Dec 1994 A
5379334 Zimmer et al. Jan 1995 A
5379336 Kramer et al. Jan 1995 A
5418380 Simon et al. May 1995 A
5420788 Vissers May 1995 A
5425113 Ito Jun 1995 A
5428657 Papanicolopoulos et al. Jun 1995 A
5430787 Norton Jul 1995 A
5481584 Tang et al. Jan 1996 A
5481622 Gerhardt et al. Jan 1996 A
5483569 Annis Jan 1996 A
5485312 Horner et al. Jan 1996 A
5490218 Krug et al. Feb 1996 A
5493444 Khoury et al. Feb 1996 A
5506880 Scardino et al. Apr 1996 A
5519225 Mohr et al. May 1996 A
5524133 Neale et al. Jun 1996 A
5528702 Mitsuoka et al. Jun 1996 A
5528703 Lee Jun 1996 A
5546189 Svetkoff et al. Aug 1996 A
5568256 Korner et al. Oct 1996 A
5580471 Fukumoto et al. Dec 1996 A
5595767 Cinquin et al. Jan 1997 A
5600303 Husseiny et al. Feb 1997 A
5600485 Iwaki et al. Feb 1997 A
5600700 Krug et al. Feb 1997 A
5604634 Khoury et al. Feb 1997 A
5619596 Iwaki et al. Apr 1997 A
5625192 Oda et al. Apr 1997 A
5625717 Hashimoto et al. Apr 1997 A
5638420 Armistead Jun 1997 A
5642393 Krug et al. Jun 1997 A
5642394 Rothschild Jun 1997 A
5647018 Benjamin Jul 1997 A
5664574 Chance Sep 1997 A
5668846 Fox et al. Sep 1997 A
5680525 Sakai et al. Oct 1997 A
5684565 Oshida et al. Nov 1997 A
5692028 Geus et al. Nov 1997 A
5692029 Husseiny et al. Nov 1997 A
5692446 Becker et al. Dec 1997 A
5699400 Lee et al. Dec 1997 A
5703921 Fujita et al. Dec 1997 A
5706816 Mochizuki et al. Jan 1998 A
5726449 Yoshiike et al. Mar 1998 A
5739539 Wang et al. Apr 1998 A
5745542 Gordon et al. Apr 1998 A
5748305 Shimono et al. May 1998 A
5748697 Tam May 1998 A
5754621 Suzuki et al. May 1998 A
5756875 Parker et al. May 1998 A
5757981 Kawakubo May 1998 A
5761334 Nakajima et al. Jun 1998 A
5764683 Swift et al. Jun 1998 A
5764719 Noettling Jun 1998 A
5768334 Maitrejean et al. Jun 1998 A
5777742 Marron Jul 1998 A
5778046 Molloi et al. Jul 1998 A
5779641 Hatfield et al. Jul 1998 A
5784429 Arai Jul 1998 A
5786597 Lingren et al. Jul 1998 A
5787145 Geus Jul 1998 A
5794788 Massen Aug 1998 A
5796802 Gordon Aug 1998 A
5796868 Dutta-Choudhury Aug 1998 A
5799100 Clarke et al. Aug 1998 A
5800355 Hasegawa Sep 1998 A
5802133 Kawai et al. Sep 1998 A
5809171 Neff et al. Sep 1998 A
5815198 Vachtsevanos et al. Sep 1998 A
5815264 Reed et al. Sep 1998 A
5828722 Ploetz et al. Oct 1998 A
5828774 Wang Oct 1998 A
5834153 Hasegawa et al. Nov 1998 A
5838758 Krug et al. Nov 1998 A
5838759 Armistead Nov 1998 A
5841828 Gordon et al. Nov 1998 A
5841907 Javidi et al. Nov 1998 A
5850465 Shimura et al. Dec 1998 A
5862198 Samarasekera et al. Jan 1999 A
5862258 Taylor Jan 1999 A
5864598 Hsieh et al. Jan 1999 A
5866907 Drukier et al. Feb 1999 A
5877849 Ramer et al. Mar 1999 A
5881123 Tam Mar 1999 A
5893095 Jain et al. Apr 1999 A
5894345 Takamoto et al. Apr 1999 A
5901196 Sauer et al. May 1999 A
5901198 Crawford et al. May 1999 A
5903623 Swift et al. May 1999 A
5909285 Beaty et al. Jun 1999 A
5909477 Crawford et al. Jun 1999 A
5910765 Slemon et al. Jun 1999 A
5910973 Grodzins Jun 1999 A
5911139 Jain et al. Jun 1999 A
5917190 Yodh et al. Jun 1999 A
5926568 Chaney et al. Jul 1999 A
5940468 Huang et al. Aug 1999 A
5943388 Tumer Aug 1999 A
5951474 Matsunaga et al. Sep 1999 A
5953452 Boone et al. Sep 1999 A
5960104 Conners et al. Sep 1999 A
5974111 Krug et al. Oct 1999 A
5978440 Kang et al. Nov 1999 A
5981949 Leahy et al. Nov 1999 A
5987095 Chapman et al. Nov 1999 A
6005916 Johnson et al. Dec 1999 A
6008496 Winefordner et al. Dec 1999 A
6009142 Sauer et al. Dec 1999 A
6011620 Sites et al. Jan 2000 A
6018561 Tam Jan 2000 A
6018562 Willson Jan 2000 A
6031890 Bermbach et al. Feb 2000 A
6035014 Hiraoglu et al. Mar 2000 A
6043870 Chen Mar 2000 A
6049381 Reintjes et al. Apr 2000 A
6057761 Yukl May 2000 A
6057909 Yahav et al. May 2000 A
6058159 Conway et al. May 2000 A
6060677 Ulrichsen et al. May 2000 A
6070583 Perelman et al. Jun 2000 A
6075591 Vokhmin Jun 2000 A
6075880 Kollhof et al. Jun 2000 A
6078638 Sauer et al. Jun 2000 A
6080994 Carrott et al. Jun 2000 A
6081580 Grodzins et al. Jun 2000 A
6084939 Tamura Jul 2000 A
6088423 Krug et al. Jul 2000 A
6094472 Smith Jul 2000 A
6097427 Dey et al. Aug 2000 A
6097483 Komatsu Aug 2000 A
6149300 Greenway et al. Nov 2000 A
6153873 Wolf Nov 2000 A
6155179 Aust et al. Dec 2000 A
6157730 Roever et al. Dec 2000 A
6163403 Carrott et al. Dec 2000 A
6175417 Do et al. Jan 2001 B1
6175613 Boutenko et al. Jan 2001 B1
6185272 Hiraoglu et al. Feb 2001 B1
6188747 Geus et al. Feb 2001 B1
6195413 Geus et al. Feb 2001 B1
6195444 Simanovsky et al. Feb 2001 B1
6198795 Naumann et al. Mar 2001 B1
6205195 Lanza Mar 2001 B1
6205243 Migdal et al. Mar 2001 B1
6218943 Ellenbogen Apr 2001 B1
6222902 Lin et al. Apr 2001 B1
6229872 Amos May 2001 B1
6233303 Tam May 2001 B1
6236704 Navab et al. May 2001 B1
6236708 Lin et al. May 2001 B1
6249341 Basiji et al. Jun 2001 B1
6252929 Swift et al. Jun 2001 B1
6256370 Yavuz Jul 2001 B1
6256404 Gordon et al. Jul 2001 B1
6263044 Joosten Jul 2001 B1
6263231 Reitter Jul 2001 B1
6272204 Amtower et al. Aug 2001 B1
6272233 Takeo Aug 2001 B1
6278760 Ogawa et al. Aug 2001 B1
6288974 Nelson Sep 2001 B1
6289235 Webber et al. Sep 2001 B1
6292260 Lin et al. Sep 2001 B1
6292530 Yavus et al. Sep 2001 B1
6292533 Swift et al. Sep 2001 B1
6324245 Tam Nov 2001 B1
6335742 Takemoto Jan 2002 B1
6353673 Shnitser et al. Mar 2002 B1
6366638 Hsieh et al. Apr 2002 B1
6370222 Cornick, Jr. Apr 2002 B1
6373916 Inoue et al. Apr 2002 B1
6373970 Dong et al. Apr 2002 B1
6373979 Wang Apr 2002 B1
6381297 Hsieh Apr 2002 B1
6388788 Harris et al. May 2002 B1
6403960 Wellnitz et al. Jun 2002 B1
6404841 Pforr et al. Jun 2002 B1
6408042 Hsieh Jun 2002 B1
6415012 Taguchi et al. Jul 2002 B1
6418184 Wang et al. Jul 2002 B1
6418189 Schafer Jul 2002 B1
6424692 Suzuki Jul 2002 B1
6442288 Haerer et al. Aug 2002 B1
6445765 Frank et al. Sep 2002 B1
6448545 Chen Sep 2002 B1
6453003 Springer et al. Sep 2002 B1
6459755 Li Oct 2002 B1
6463181 Duarte Oct 2002 B2
6473489 Bani-Hashemi et al. Oct 2002 B2
6477221 Ning Nov 2002 B1
6480285 Hill Nov 2002 B1
6480564 Kim et al. Nov 2002 B1
6483894 Hartick et al. Nov 2002 B2
6487307 Hennessey et al. Nov 2002 B1
6502984 Ogura et al. Jan 2003 B2
6507025 Verbinski et al. Jan 2003 B1
6507278 Brunetti et al. Jan 2003 B1
6525331 Ngoi et al. Feb 2003 B1
6526120 Gray et al. Feb 2003 B1
6532276 Hartick et al. Mar 2003 B1
6542574 Grodzins Apr 2003 B2
6542578 Ries et al. Apr 2003 B2
6542579 Takasawa Apr 2003 B1
6542580 Carver et al. Apr 2003 B1
6542628 Muller et al. Apr 2003 B1
6549683 Bergeron et al. Apr 2003 B1
6552809 Bergeron et al. Apr 2003 B1
6559769 Anthony et al. May 2003 B2
6570177 Struckhoff et al. May 2003 B1
6570708 Bergeron et al. May 2003 B1
6570951 Hsieh May 2003 B1
6570956 Rhee et al. May 2003 B1
6574296 Stierstorfer Jun 2003 B2
6574297 Tam Jun 2003 B2
6580777 Ueki et al. Jun 2003 B1
6580778 Meder Jun 2003 B2
6583895 Kuwahara et al. Jun 2003 B1
6584170 Aust et al. Jun 2003 B2
6586193 Yguerabide et al. Jul 2003 B2
6587575 Windham et al. Jul 2003 B1
6587595 Henkel et al. Jul 2003 B1
6597760 Beneke et al. Jul 2003 B2
6603536 Hasson et al. Aug 2003 B1
6608921 Inoue et al. Aug 2003 B1
6611575 Alyassin et al. Aug 2003 B1
6618466 Ning Sep 2003 B1
6621887 Albagli et al. Sep 2003 B2
6621888 Grodzins et al. Sep 2003 B2
6621925 Ohmori et al. Sep 2003 B1
6628982 Thomas et al. Sep 2003 B1
6628983 Gagnon Sep 2003 B1
6654443 Hoffman Nov 2003 B1
6661867 Mario et al. Dec 2003 B2
6663280 Doenges Dec 2003 B2
6665373 Kotowski et al. Dec 2003 B1
6707879 McClelland et al. Mar 2004 B2
6714623 Sako et al. Mar 2004 B2
6721387 Naidu et al. Apr 2004 B1
6721391 McClelland et al. Apr 2004 B2
6724922 Vilsmeier Apr 2004 B1
6731819 Fukushima et al. May 2004 B1
6735274 Zahavi et al. May 2004 B1
6735279 Jacobs et al. May 2004 B1
6738450 Barford May 2004 B1
6744909 Kostrzewski et al. Jun 2004 B1
6746864 McNeil et al. Jun 2004 B1
6751349 Matama Jun 2004 B2
6754374 Miller et al. Jun 2004 B1
6763148 Sternberg et al. Jul 2004 B1
6785410 Vining et al. Aug 2004 B2
H2110 Newman Oct 2004 H
6801647 Arakawa Oct 2004 B1
6803997 Stanek Oct 2004 B2
6804412 Wilkinson Oct 2004 B1
6813395 Kinjo Nov 2004 B1
6825854 Beneke et al. Nov 2004 B1
6837422 Meder Jan 2005 B1
6839403 Kotowski et al. Jan 2005 B1
6839406 Ries et al. Jan 2005 B2
6843599 Le et al. Jan 2005 B2
6856272 Levitan et al. Feb 2005 B2
6865287 Beneke Mar 2005 B1
6865509 Hsiung et al. Mar 2005 B1
6868138 Clinthorne et al. Mar 2005 B2
6873261 Anthony et al. Mar 2005 B2
6876322 Keller Apr 2005 B2
6895072 Schrock et al. May 2005 B2
6895338 Hsiung et al. May 2005 B2
6899540 Neiderman et al. May 2005 B1
6918541 Knowles et al. Jul 2005 B2
6928141 Carver et al. Aug 2005 B2
6936828 Saccomanno Aug 2005 B2
6938488 Diaz et al. Sep 2005 B2
6940943 Claus et al. Sep 2005 B2
6950492 Besson Sep 2005 B2
6952163 Huey et al. Oct 2005 B2
6970531 Eberhard et al. Nov 2005 B2
6980681 Hsieh Dec 2005 B1
6982643 Garfinkle Jan 2006 B2
6990171 Toth et al. Jan 2006 B2
7000827 Meder Feb 2006 B2
7012256 Roos et al. Mar 2006 B1
7020241 Beneke et al. Mar 2006 B2
7043474 Mojsilovic et al. May 2006 B2
7045787 Verbinski et al. May 2006 B1
7046761 Ellenbogen et al. May 2006 B2
7050616 Hsieh et al. May 2006 B2
7062074 Beneke Jun 2006 B1
7065175 Green Jun 2006 B2
7068751 Toth et al. Jun 2006 B2
7092485 Kravis Aug 2006 B2
7098461 Endo Aug 2006 B2
7099004 Masten Aug 2006 B2
7099432 Ichihara et al. Aug 2006 B2
7100165 Eldridge et al. Aug 2006 B2
7103137 Seppi et al. Sep 2006 B2
7105828 Unger et al. Sep 2006 B2
7116749 Besson Oct 2006 B2
7130456 Hillmann Oct 2006 B2
7136716 Hsiung et al. Nov 2006 B2
7139406 McClelland et al. Nov 2006 B2
7142633 Eberhard et al. Nov 2006 B2
7154650 Lettington Dec 2006 B2
7164750 Nabors et al. Jan 2007 B2
7183906 Zanovitch et al. Feb 2007 B2
7193515 Roberts et al. Mar 2007 B1
7212113 Zanovitch May 2007 B2
7212661 Samara et al. May 2007 B2
7233682 Levine Jun 2007 B2
7244941 Roos et al. Jul 2007 B2
7253766 Foote et al. Aug 2007 B2
7257189 Modica et al. Aug 2007 B2
7260173 Wakayama et al. Aug 2007 B2
7529341 Schlomka et al. May 2009 B2
7720194 Connelly et al. May 2010 B2
7734066 DeLia et al. Jun 2010 B2
7769132 Hurd et al. Aug 2010 B1
7792248 Strecker et al. Sep 2010 B2
7882141 Ono et al. Feb 2011 B2
7899232 Gudmundson et al. Mar 2011 B2
20010016030 Nicolas et al. Aug 2001 A1
20010021013 Hecht et al. Sep 2001 A1
20010021244 Suzuki et al. Sep 2001 A1
20010028696 Yamada et al. Oct 2001 A1
20010033636 Hartick et al. Oct 2001 A1
20010038681 Stanton et al. Nov 2001 A1
20010038705 Rubbert et al. Nov 2001 A1
20010038707 Ohara Nov 2001 A1
20010048734 Uppaluri et al. Dec 2001 A1
20010053197 Murayama et al. Dec 2001 A1
20020001366 Tamura et al. Jan 2002 A1
20020015475 Matsumoto et al. Feb 2002 A1
20020016546 Cerofolini Feb 2002 A1
20020017620 Oomori et al. Feb 2002 A1
20020018199 Blumenfeld et al. Feb 2002 A1
20020024016 Endo Feb 2002 A1
20020027970 Chapman et al. Mar 2002 A1
20020028994 Kamiyama Mar 2002 A1
20020031246 Kawano Mar 2002 A1
20020037068 Oikawa Mar 2002 A1
20020044691 Matsugu Apr 2002 A1
20020054694 Vachtsevanos et al. May 2002 A1
20020067259 Fufidio et al. Jun 2002 A1
20020067793 Stierstorfer Jun 2002 A1
20020085046 Furuta et al. Jul 2002 A1
20020088952 Rao et al. Jul 2002 A1
20020094062 Dolazza et al. Jul 2002 A1
20020094119 Sahadevan Jul 2002 A1
20020098518 Levinson Jul 2002 A1
20020106052 Menhardt Aug 2002 A1
20020114530 Duarte Aug 2002 A1
20020122528 Besson Sep 2002 A1
20020124664 Call et al. Sep 2002 A1
20020126800 Matsumoto et al. Sep 2002 A1
20020127586 Mortensen Sep 2002 A1
20020141625 Nelson Oct 2002 A1
20020150200 Zonneveld Oct 2002 A1
20020161534 Adler et al. Oct 2002 A1
20020168083 Garms et al. Nov 2002 A1
20020168657 Chen et al. Nov 2002 A1
20020172324 Ellengogen Nov 2002 A1
20020172409 Saito et al. Nov 2002 A1
20020175921 Xu et al. Nov 2002 A1
20020176534 Meder Nov 2002 A1
20020186862 McClelland et al. Dec 2002 A1
20020188197 Bishop et al. Dec 2002 A1
20020191209 Yasumaru Dec 2002 A1
20030012420 Verwoerd et al. Jan 2003 A1
20030023592 Modica et al. Jan 2003 A1
20030024315 Merkel et al. Feb 2003 A1
20030031289 Hsieh Feb 2003 A1
20030031291 Yamamoto et al. Feb 2003 A1
20030036006 Feke et al. Feb 2003 A1
20030038945 Mahner Feb 2003 A1
20030072414 Sakaida Apr 2003 A1
20030072418 Albagli et al. Apr 2003 A1
20030072484 Kokko et al. Apr 2003 A1
20030076924 Mario et al. Apr 2003 A1
20030081720 Swift et al. May 2003 A1
20030081859 Kasutani May 2003 A1
20030082516 Straus May 2003 A1
20030085348 Megerle May 2003 A1
20030085353 Almogy et al. May 2003 A1
20030091145 Mohr et al. May 2003 A1
20030095633 Van Woezik May 2003 A1
20030095692 Mundy et al. May 2003 A1
20030128812 Appleby et al. Jul 2003 A1
20030138147 Ongkojoyo Jul 2003 A1
20030148393 Woodbury et al. Aug 2003 A1
20030149346 Arnone et al. Aug 2003 A1
20030165213 Maglich Sep 2003 A1
20030179853 Amemiya et al. Sep 2003 A1
20030194121 Eberhard et al. Oct 2003 A1
20030205676 Nelson et al. Nov 2003 A1
20030206649 Moshe Nov 2003 A1
20030210139 Brooks et al. Nov 2003 A1
20030215051 Suzuki Nov 2003 A1
20030215143 Zakrzewski et al. Nov 2003 A1
20030231788 Yukhin et al. Dec 2003 A1
20030231791 Torre-Bueno et al. Dec 2003 A1
20040012853 Garcia et al. Jan 2004 A1
20040013239 Gregerson et al. Jan 2004 A1
20040016271 Shah et al. Jan 2004 A1
20040017882 Misawa et al. Jan 2004 A1
20040017883 Takagi et al. Jan 2004 A1
20040017888 Seppi et al. Jan 2004 A1
20040017935 Avinash et al. Jan 2004 A1
20040022425 Avinash et al. Feb 2004 A1
20040027127 Mills Feb 2004 A1
20040037462 Lewis et al. Feb 2004 A1
20040041082 Harmon Mar 2004 A1
20040051030 Olszak et al. Mar 2004 A1
20040062342 Cahill Apr 2004 A1
20040062349 Schuster Apr 2004 A1
20040062351 Yoshioka Apr 2004 A1
20040066882 Eberhard et al. Apr 2004 A1
20040066884 Hermann Claus et al. Apr 2004 A1
20040066890 Dalmijn et al. Apr 2004 A1
20040075058 Blevis et al. Apr 2004 A1
20040080315 Beevor et al. Apr 2004 A1
20040082846 Johnson et al. Apr 2004 A1
20040083958 Saidman et al. May 2004 A1
20040086075 Hein et al. May 2004 A1
20040086160 Zimmermann May 2004 A1
20040087844 Yen May 2004 A1
20040101097 Wakayama et al. May 2004 A1
20040102700 Asafusa May 2004 A1
20040109231 Haisch et al. Jun 2004 A1
20040120009 White et al. Jun 2004 A1
20040120857 Smith et al. Jun 2004 A1
20040134986 Studer et al. Jul 2004 A1
20040141056 Izumi et al. Jul 2004 A1
20040142386 Rigler et al. Jul 2004 A1
20040160599 Hamamatsu et al. Aug 2004 A1
20040161073 Nokita Aug 2004 A1
20040175041 Miller Sep 2004 A1
20040176677 Hwu et al. Sep 2004 A1
20040212492 Boesch et al. Oct 2004 A1
20040213377 Endo Oct 2004 A1
20040213600 Watanabe et al. Oct 2004 A1
20040218729 Xue et al. Nov 2004 A1
20040225222 Zeng et al. Nov 2004 A1
20040236520 Williams et al. Nov 2004 A1
20040240612 Suzuki Dec 2004 A1
20040247071 Dafni Dec 2004 A1
20040247171 Hashimoto et al. Dec 2004 A1
20040252024 Huey et al. Dec 2004 A1
20040252870 Reeves et al. Dec 2004 A1
20040253660 Gibbs et al. Dec 2004 A1
20040258198 Carver et al. Dec 2004 A1
20040258202 Wernick et al. Dec 2004 A1
20040263379 Keller Dec 2004 A1
20040264624 Tanaka et al. Dec 2004 A1
20040264648 Claus et al. Dec 2004 A1
20040265175 Witty et al. Dec 2004 A1
20050008119 McClelland et al. Jan 2005 A1
20050008203 Dixon Jan 2005 A1
20050017181 Kearfott et al. Jan 2005 A1
20050018812 Wolfs Jan 2005 A1
20050024199 Huey et al. Feb 2005 A1
20050025280 Schulte Feb 2005 A1
20050025350 Engelbart et al. Feb 2005 A1
20050025377 Avinash et al. Feb 2005 A1
20050031069 Kaucic et al. Feb 2005 A1
20050053307 Nose et al. Mar 2005 A1
20050057354 Jenkins et al. Mar 2005 A1
20050058242 Peschmann Mar 2005 A1
20050058350 Dugan et al. Mar 2005 A1
20050061955 Endo Mar 2005 A1
20050069085 Lewis Mar 2005 A1
20050074088 Ichihara et al. Apr 2005 A1
20050085721 Fauver et al. Apr 2005 A1
20050094856 Warren May 2005 A1
20050098728 Alfano et al. May 2005 A1
20050105680 Nabors et al. May 2005 A1
20050110672 Cardiasmenos et al. May 2005 A1
20050111618 Sommer, Jr. et al. May 2005 A1
20050113961 Sabol et al. May 2005 A1
20050117693 Miyano Jun 2005 A1
20050117700 Peschmann Jun 2005 A1
20050123093 Lawaczeck et al. Jun 2005 A1
20050123174 Gorsky et al. Jun 2005 A1
20050128069 Skatter Jun 2005 A1
20050133708 Eberhard et al. Jun 2005 A1
20050147199 Dunham et al. Jul 2005 A1
20050153356 Okawa et al. Jul 2005 A1
20050163354 Ziegler Jul 2005 A1
20050173284 Ambrefe, Jr. Aug 2005 A1
20050189412 Hudnut et al. Sep 2005 A1
20050190882 McGuire Sep 2005 A1
20050206514 Zanovitch et al. Sep 2005 A1
20050207655 Chopra et al. Sep 2005 A1
20050212913 Richter Sep 2005 A1
20050219523 Onuma et al. Oct 2005 A1
20050220264 Homegger Oct 2005 A1
20050226375 Eberhard et al. Oct 2005 A1
20050231421 Fleisher et al. Oct 2005 A1
20050238232 Ying et al. Oct 2005 A1
20050240858 Croft et al. Oct 2005 A1
20050248450 Zanovitch Nov 2005 A1
20050249416 Leue et al. Nov 2005 A1
20050251397 Zanovitch et al. Nov 2005 A1
20050251398 Zanovitch et al. Nov 2005 A1
20050259868 Sones Nov 2005 A1
20050265517 Gary Dec 2005 A1
20050271184 Ovadia Dec 2005 A1
20050275831 Silver Dec 2005 A1
20050276376 Eilbert Dec 2005 A1
20050276443 Slamani et al. Dec 2005 A1
20050279936 Litman et al. Dec 2005 A1
20050283079 Steen et al. Dec 2005 A1
20060000911 Stekel Jan 2006 A1
20060002504 De Man et al. Jan 2006 A1
20060008054 Ohara Jan 2006 A1
20060009269 Hoskinson et al. Jan 2006 A1
20060013455 Watson et al. Jan 2006 A1
20060013464 Ramsay et al. Jan 2006 A1
20060017605 Lovberg et al. Jan 2006 A1
20060018434 Jacobs et al. Jan 2006 A1
20060018517 Chen et al. Jan 2006 A1
20060019409 Nelson et al. Jan 2006 A1
20060034503 Shimayama Feb 2006 A1
20060036167 Shina Feb 2006 A1
20060045235 Bruder et al. Mar 2006 A1
20060045323 Ateya Mar 2006 A1
20060056584 Allman et al. Mar 2006 A1
20060064246 Medberry et al. Mar 2006 A1
20060065844 Zelakiewicz et al. Mar 2006 A1
20060072702 Chapman Apr 2006 A1
20060083417 Dehmeshki Apr 2006 A1
20060083418 Watson et al. Apr 2006 A1
20060084872 Ichikawa et al. Apr 2006 A1
20060086794 Knowles et al. Apr 2006 A1
20060093088 Sowerby et al. May 2006 A1
20060098773 Peschmann May 2006 A1
20060098866 Whitson et al. May 2006 A1
20060115109 Whitson et al. Jun 2006 A1
20060116566 Bruijns Jun 2006 A1
20060119837 Raguin et al. Jun 2006 A1
20060133650 Xie et al. Jun 2006 A1
20060133659 Hammond Jun 2006 A1
20060142662 Van Beek Jun 2006 A1
20060142984 Weese et al. Jun 2006 A1
20060173268 Mullick et al. Aug 2006 A1
20060176062 Yang et al. Aug 2006 A1
20060203960 Schlomka et al. Sep 2006 A1
20060204080 Sones et al. Sep 2006 A1
20060215811 Modica et al. Sep 2006 A1
20060228040 Simon et al. Oct 2006 A1
20060255929 Zanovitch et al. Nov 2006 A1
20060257005 Bergeron et al. Nov 2006 A1
20060262902 Wattenburg Nov 2006 A1
20060269135 Ramsay et al. Nov 2006 A1
20060273257 Roos et al. Dec 2006 A1
20060274916 Chan et al. Dec 2006 A1
20060282886 Gaug Dec 2006 A1
20070003122 Sirohey et al. Jan 2007 A1
20070041612 Perron et al. Feb 2007 A1
20070041613 Perron et al. Feb 2007 A1
20070058037 Bergeron et al. Mar 2007 A1
20070147585 Eilbert et al. Jun 2007 A1
20070168467 Hu et al. Jul 2007 A1
20070195994 McClelland et al. Aug 2007 A1
20070196803 Goodrich Aug 2007 A1
20070200566 Clark et al. Aug 2007 A1
20070206719 Suryanarayanan et al. Sep 2007 A1
20070210921 Volpi et al. Sep 2007 A1
20070269005 Chalmers et al. Nov 2007 A1
20080152082 Bouchard et al. Jun 2008 A1
20080170660 Gudmundson et al. Jul 2008 A1
20080236275 Breed et al. Oct 2008 A1
20080260097 Anwar et al. Oct 2008 A1
20090175411 Gudmundson et al. Jul 2009 A1
20120300902 Modica et al. Nov 2012 A1
Foreign Referenced Citations (16)
Number Date Country
2307439 May 2000 CA
2319958 Sep 2000 CA
2574402 Jan 2006 CA
2651131 Nov 2010 CA
0 577 380 Jan 1994 EP
9718462 May 1997 WO
0127601 Apr 2001 WO
WO 02082290 Oct 2002 WO
WO 03069498 Aug 2003 WO
WO 03107113 Dec 2003 WO
WO 2005086616 Sep 2005 WO
2006119609 Nov 2006 WO
WO 2006119603 Nov 2006 WO
WO2008034232 Mar 2008 WO
WO2008040119 Apr 2008 WO
PCTCA2008000275 Oct 2009 WO
Non-Patent Literature Citations (55)
Entry
PCT/CA2005/000716 (IPRP), Nov. 13, 2007, OptoSecurity Inc.
PCT/CA2005/001930 (IPRP), Nov. 13, 2007, OptoSecurity Inc.
PCT/CA2006/000655 (IPRP), Nov. 13, 2007, OptoSecurity Inc.
PCT/CA2006/000751 (IPRP), Nov. 13, 2007, OptoSecurity Inc.
PCT/CA2007/001297 (ISR), Nov. 14, 2007, OptoSecurity Inc. et al.
PCT/CA2007/001298 (ISR), Nov. 14, 2007, OptoSecurity Inc. et al.
PCT/CA2007/001658 (ISR), Jan. 10, 2008, OptoSecurity Inc. et al.
PCT/CA2007/001749 (ISR), Jan. 14, 2008, OptoSecurity Inc. et al.
PCT/CA2005/000716 (ISR), Feb. 3, 2006. OptoSecurity Inc.
PCT/CA/2005/001930 (ISR), Apr. 7, 2006, OptoSecurity Inc.
PCT/CA/2006/000655 (ISR), Aug. 3, 2006, OptoSecurity Inc.
PCT/CA/2006/000751 (ISR), Aug. 28, 2006, OptoSecurity Inc.
H.J. Caufield and W.T. Maloney, Improved discrimination in optical character recognition, 1969, Appl. Opt., 8, p. 2354.
Mahalanobis, A. et al., Minimum average correlation energy filters, Sep. 1, 1987, Appl. Opt. 26 No. 17, pp. 3633-3640.
Joseph L. Horner et al., Phase-only matched filtering, Mar. 15, 1994, Appl. Opt. vol. 23 No. 6, pp. 812-816.
Benjamin R., Object-based 3D X-ray imaging for second-line security screening, 1995, Conf. Publ. No. 408, Londonn, Uk: IEE, pp. 310-313, Abstract.
Andre Morin et al., Optical character recognition (OCR) in uncontrolled environnments using optical correlators, 1999, SPIE Int., pp. 346-356.
PinPoint TM Threat Identification Software dated Jul. 25, 2005 of URL: http://www.guardiantechintl.com/security.php.?npage+pinpoint, 4 pages.
Gregor Mcdonald, Fast Pattern Recognition, QinetiQ Ltd 2003.
Secure Flight passenger screening program, Oct. 28, 2005, http://www.globalsecurity.org/securiy/systems/passenger—screen.htm, 6 pages.
Security technology overview: Advanced vehicle verification & threat identification, www.optosecurity.com and www.extremeCCTV.com, 1 page.
B.V.K. Vijaya Kumar et al., Spatial Frequency Domain Image Processing for Biometric Recognition, 2002, pp. 1-53-1-56, vol. 1, IEEE ICIP, Pittsburgh, PA, USA.
eXaminer 3DX, Explosives Detection System, L3 Communications, Security & Detection Systems, Nov. 8-9, 2005.
Airport Magazine, Solutions, Products, Services, vol. 7, Mar. 2006, selected pages.
PCT/CA2007/000779 (ISR), Aug. 17, 2007, OptoSecurity Inc.
PCT/CA2007/000840 (ISR), Aug. 22, 2007, OptoSecurity Inc.
Extended European Search Report issued by the European Patent Office on Oct. 19, 2011 in connection with European Patent Application Serial No. 07719704.4, 9 pages.
Final Office Action issued by United States Patent and Trademark Office on Nov. 10, 2011 in connection with U.S. Appl. No. 11/407,217, 14 pages.
Extended European Search Report issued by the European Patent Office on Nov. 22, 2011 in connection with European Patent Application Serial No. 07719764.8, 8 pages.
Lisa Gottesfeld Brown, “A Survey of Image Registration Techniques”, ACM Computing Surveys, ACM, New York, NY, US, vol. 24, No. 4, Dec. 1, 1992, XP002942558, ISSN: 0360-0300, DOI: 10.1145/146370.146374 * sect.2.2 *, pp. 325-376.
Hartley et al., “Multiple View Geometry in Computer Vision Contents”, Multiple View Geometry in Computer Vision, Cambridge: Cambridge University Press, GB, Jan. 1, 2004, XP002244390, ISBN: 978-0-521-54051-3 * the whole document *, pp. V-X.
Jutamulia S. Yu, “Optical Pattern Recognition”, 2000, Cambridge University Press, p. v-p. xii.
A. Schwaninger et al., “Evaluation of CBT for increasing threat detection performance in X-ray screening”, The Internet Society: Advances in learning, Commerce and Security, Jan. 1, 2004, XP55009216, Retrived from the Internet: URL:http://www.casra.ch/publications/doc/SchwaningerHofer2004.pdf [retrieved on Oct. 11, 2011] sect.2.1, 2.2, pp. 147-156.
Y.S. Yong et al., “Threat image projection for stereoscopic X-ray imaging”, Jan. 1, 2001, Visualization, Imaging, and Image Processing Proceedings of the IASTED International Conference, Sep. 3-5, 2001 Marsella, Spain, Anaheim, Calif.[U.A.] IASTED/ACTA Press, pp. 301-306, P008144120, ISBN: 978-0-88986-309-5* p. 1 *.
Mark Mitckes, “Threat Image Projection—An Overview”, Oct. 2003, XP002661292, Retrieved from the Internet URL:web.eecs.utk.edu/{lme/t1p.pdf * sect.l, 2.1, 3,figures 1-9 *, pp. 1-23.
Adrian Schwaninger, “Increasing Efficiency in Airport Security Screening”, AVSEC World 2004, Nov. 3, 2004, XP55009005, Retrieved from the Internet: URL:http://www.casra.ch/publications/doc/ Schwaninger2004a.pdf [retrieved on Oct. 10, 2007] * sect 2.1figures 1,2,3,4,7 *, pp. 1-14.
F. Hofer et al. “Using threat image projection data for assessing individual screener performance”, WIT Transactions on the Built Environment, Jan. 1, 2005, XP55009395, Safety and Security Engineering, Retrieved from the Internet: URL:http://www.casra.ch/publications/doc/HoferSchwaninger2005.pdf [retrieved on Oct. 12, 2011] * sect.2.1.1 *, pp. 417-426.
Office Action mailed on Feb. 13, 2009 in connection with U.S. Appl. No. 11/268,749, 7 pages.
Office Action mailed on May 28, 2009 in connection with U.S. Appl. No. 11/268,749, 18 pages.
Office Action mailed on Jul. 2, 2009 in connection with U.S. Appl. No. 11/431,627, 34 pages.
Office Action mailed on Dec. 2, 2008 in connection with Canadian Patent Application 2,546,296, 2 pages.
Office Action mailed on Jun. 29, 2009 in connection with Canadian Patent Application 2,651,131, 3 pages.
Office Action mailed on Apr. 16, 2010 in connection with U.S. Appl. No. 11/431,627, 46 pages.
PCT/CA2008/000275 (ISR), Oct. 2009, OptoSecurity Inc.
Notice of Allowance issued by the United States Patent and Trademark Office on Mar. 24, 2011 in connection with U.S. Appl. No. 11/431,627, 13 pages.
Extended European Search Report issued by the European Patent Office on Mar. 24, 2011 in connection with European Patent Application Serial No. 08 714 598.3, 7 pages.
Extended European Search Report issued by the European Patent Office on Apr. 1, 2011 in connection with European Patent Application Serial No. 06 741 416.9, 7 pages.
Non-Final Office Action issued by the United States Patent and Trademark Office on Apr. 22, 2011 in connection with U.S. Appl. No. 11/407,217, 20 pages.
Non-Final Office Action issued by the United States Patent and Trademark Office on Aug. 15, 2011 in connection with U.S. Appl. No. 11/920,042, 9 pages.
Restriction Requirement Office Action issued by the United States Patent and Trademark Office on Jun. 11, 2010 in connection with U.S. Appl. No. 11/407,217, 6 pages.
Restriction Requirement Office Action issued by the United States Patent and Trademark Office on Oct. 7, 2010 in connection with U.S. Appl. No. 11/431,719, 5 pages.
Notice of Allowance issued by the United States Patent and Trademark Office on Oct. 26, 2010 in connection with U.S. Appl. No. 11/747,639, 8 pages.
Examiner's Report (Office Action) issued by the Canadian Intellectual Property Office on Jul. 5, 2012 in connection with Canadian Patent Application Serial No. 2,608,119, 3 pages.
Examiner's Report (Office Action) issued by the European Patent Office on Aug. 10, 2012 in connection with European Patent Application No. 07 719 704.4, 5 pages.
Examiner's Report (Office Action) issued by the European Patent Office on Aug. 10, 2012 in connection with European Patent Application Serial No. 07 719 764.8, 6 pages.
Related Publications (1)
Number Date Country
20080240578 A1 Oct 2008 US