Patent Application
20240193766
The present invention relates to an image processing apparatus and an image processing method.
A static image obtained in a conventional radiological imaging examination does not contain information on motions that give functional information, and allows evaluation of morphological information only. On contrary, a dynamic image obtained by radiological imaging of dynamics of a living body enables observations of lung motion along with respiration, blood flow motion, and the like, and are expected to be beneficially used for diagnosis of diseases.
However, a dynamic image, which is constituted of multiple frame images, contains a lot of information compared to a static image, and it takes time to extract useful information from a dynamic image.
To deal with such a problem, there is disclosed a technique for an X-ray diagnostic device in which X-rays are emitted to a subject and X-rays transmitted through the subject are detected so as to display an X-ray moving image, where images of high importance are selected from an X-ray moving image and the selected images are listed as thumbnails (see JP2012011120A).
There is disclosed another technique for an X-ray diagnostic device that records multiple X-ray transmission images obtained by X-ray imaging of multiple times in a predetermined period of time as continuous images, where a region of interest in a series of images is set based on pixel values on X-ray transmission images and the X-ray transmission images of the set region of interest are continuously displayed (see JP2006130129A).
However, even in the techniques of JP2012011120A and JP2006130129A, multiple images are selected from a dynamic image, and therefore it takes some time to interpret the images. As described above, it takes more time to read information from a dynamic image than from a static image, requiring doctors to take more time to give a diagnosis.
The present invention has been conceived in view of the above problems in the prior art, and has an object of saving doctors time for diagnosis.
To achieve at least one of the abovementioned objects, an image processing apparatus reflecting one aspect of the present invention includes a hardware processor,
To achieve at least one of the abovementioned objects, an image processing method reflecting another aspect of the present invention includes:
The advantages and features provided by one or more embodiments of the invention will become more fully understood from the detailed description given hereinbelow and the appended drawings which are given by way of illustration only, and thus are not intended as a definition of the limits of the present invention, wherein:
Hereinafter, one or more embodiments of the present invention are described with reference to the drawings. However, the scope of the invention is not limited to the disclosed embodiments.
As shown in
The imaging device 1 is an imaging device that images a cyclic dynamic state. The cyclic dynamic state includes: change in shape of the lungs by expansion and contraction of the lungs with breathing: and pulsation of the heart. Dynamic imaging is performed by repeatedly emitting pulsed radiation, such as X-rays, to a subject M at predetermined time intervals (pulse emission) or continuously emitting radiation without a break to a subject M at a low dose rate (continuous emission), thereby obtaining a plurality of images showing the dynamic state of the subject M. A series of images obtained by dynamic imaging is called a dynamic image. Images constituting a dynamic image are called frame images. In the embodiment below, dynamic imaging of the frontal chest by pulse emission is described as an example. The imaging device 1 can also take a static image.
A radiation source 11 is disposed to face a radiation detector 13 having a subject M in between, and emits radiation (X-rays) to the subject M under the control of a radiation emission controller 12.
The radiation emission controller 12 is connected with the imaging console 2, and controls the radiation source 11 on the basis of radiation emission conditions input from the imaging console 2 so as to perform radiation imaging. The radiation emission conditions input from the imaging console 2 include a pulse rate, a pulse width, a pulse interval, the number of frames (frame images) to be taken by one imaging, a value of current of an X-ray tube, a value of voltage of the X-ray tube, and a type of added filter. The pulse rate is the number of times radiation is emitted per second, and matches the frame rate described below. The pulse width is a period of time for one radiation emission. The pulse interval is a period of time from the start of one radiation emission to the start of the next radiation emission, and matches the frame interval described below.
The radiation detector 13 is constituted of a semiconductor image sensor such as a flat panel detector (FPD). The FPD is constituted of detection elements (pixels) arranged at predetermined points on a substrate, such as a glass substrate, in a matrix. The detection elements detect radiation (intensity of radiation) that has been emitted from the radiation source 11 and passed through at least a subject M, convert the detected radiation into electric signals, and accumulate the electric signals therein. The pixels are provided with switches, such as TFTs (Thin Film Transistors). There are an indirect conversion type FPD that converts X-rays into electric signals with photoelectric conversion element(s) via scintillator(s) and a direct conversion type FPD that directly converts X-rays into electric signals. Either of them can be used.
The radiation detector 13 is disposed to face the radiation source 11 having a subject M in between.
A reading controller 14 is connected with the imaging console 2. The reading controller 14 controls the switches of the pixels of the radiation detector 13 on the basis of image reading conditions input from the imaging console 2 to switch the pixels to read the electric signals accumulated in the pixels, thereby reading the electric signals accumulated in the radiation detector 13 and obtaining image data. The image data is each frame image of a dynamic image or a static image. In each frame image of a dynamic image and each pixel of a static image, existence of a structure decreases an amount of radiation reaching the radiation detector 13 and decreases pixel values (density values). For example, in the lung field area of the chest image containing ribs, pulmonary vessels, tumors, and the like, density values are lower than in the background lung field area. The reading controller 14 outputs the obtained dynamic or static image to the imaging console 2. The image reading conditions include a frame rate, a frame interval, a pixel size, and an image size (matrix size). The frame rate is the number of frame images to be obtained per second, and matches the pulse rate described above. The frame interval is a period of time from the start of one frame image obtaining action to the start of the next frame image obtaining action, and matches the pulse interval described above.
The radiation emission controller 12 and the reading controller 14 are connected to each other, and exchange sync signals so as to synchronize radiation emission actions with image reading actions.
The imaging console 2 outputs the radiation emission conditions and the image reading conditions to the imaging device 1 so as to control the radiation imaging and the radiation image reading actions performed by the imaging device 1, and also displays a dynamic image or static image obtained by the imaging device 1 so that a radiographer, such as a radiologist, can check if positioning has no problem, and also can determine if the dynamic image is suitable for diagnosis.
The imaging console 2 includes, as shown in
The controller 21 includes a CPU (Central Processing Unit) and a RAM (Random Access Memory). The CPU of the controller 21 reads a system program and various process programs stored in the storage 22 in response to operation on the operation interface 23, opens the read programs in the RAM, and performs various processes, such as an imaging control process (see
The storage 22 is constituted of a non-volatile semiconductor memory, a hard disk, or the like. The storage 22 stores therein various programs to be executed by the controller 21, parameters necessary to perform processes of the programs, data, such as process results, and the like. For example, the storage 22 stores therein a program for the imaging control process. The storage 22 also stores therein the radiation emission conditions and the image reading conditions for respective regions to be imaged. The programs are stored in the form of a computer readable program code(s), and the controller 21 executes operations in accordance with the program code.
The operation interface 23, which includes a keyboard with cursor keys, letter and number input keys, various function keys, etc. and a pointing device such as a mouse, outputs operation signals input through keyboard operations or mouse operations to the controller 21. The operation interface 23 may have a touchscreen on the display screen of the display 24. In that case, the operation interface 23 outputs command signals input via the touchscreen to the controller 21.
The display 24 is constituted of a monitor such as an LCD (Liquid Crystal Display), and displays thereon commands input from the operation interface 23, data and the like in accordance with commands of display signals input from the controller 21.
The communication unit 25 includes a LAN adapter, a modem and a TA (Terminal Adapter), and controls data exchange with devices connected to the communication network NT.
The diagnostic control 3 is an image processing apparatus that obtains a dynamic image or a static image from the imaging console 2, analyzes the image, and displays the obtained image and/or the analysis result of the image to help a doctor(s) make a diagnosis.
The diagnostic console 3 includes, as shown in
The controller 31 includes a CPU and a RAM. The CPU of the controller 31 reads a system program and various process programs stored in the storage 32 in response to operation on the operation interface 33, opens the in read programs in the RAM, and performs various processes such as the functional information representative addition process (see
The storage 32 is constituted of a non-volatile semiconductor memory, a hard disk or the like. The storage 32 stores therein various programs, including a program for the functional information representative addition process, to be executed by the controller 31, parameters necessary to perform processes of the programs, data such as process results, and the like. The programs are stored in a form of a computer readable program code(s), and the controller 31 executes operations in accordance with the program code.
The storage 32 stores dynamic or static images associated with patient information (patient ID, patient name, height, weight, age, sex, etc.) and examination information (examination ID, examination date, imaged region, etc.). The operation interface 33, which includes a keyboard with cursor keys, letter and number input keys, various function keys, etc. and a pointing device such as a mouse, outputs command signals input through keyboard operations or mouse operations to the controller 31. The operation interface 33 may have a touchscreen on the display screen of the display 34. In that case, the operation interface 33 outputs command signals input via the touchscreen to the controller 31.
The display 34 is constituted of a monitor such as an LCD, and performs various types of display in accordance with commands of display signals input from the controller 31.
The communication unit 35 includes a LAN adapter, a modem and a TA, and controls data exchange with devices connected to the communication network NT.
The controller 31 obtains a static image and a dynamic image obtained by radiological imaging of the same subject M. The controller 31 functions as an obtaining means.
The controller 31 detects a first analysis target area on the static image. The controller 31 functions as a first detecting means.
The controller 31 detects a second analysis target area corresponding to the first analysis target area on a dynamic image. The controller 31 functions as a second detecting means.
The analysis target areas (first analysis target area, second analysis target area) are specified in advance for each function (functional information representative). The analysis target areas for each function (functional information) are stored in the storage 32. For example, the lung field is detected on a frontal chest image by which ventilation and blood flow are analyzed.
The controller 31 analyzes a dynamic image in the second analysis target area, and generates a “functional information representative” from change caused by biological motion. The controller 31 functions as a generating means.
Specifically, the controller 31 analyses the second analysis target area in each frame image of a dynamic image and generates functional information for each frame image. The functional information is information obtained from change caused by biological motion. The controller 31 generates the functional information representative as information on the representative function in a dynamic image based on the functional information generated for each frame image.
The functional information representative includes information indicating ventilation, blood flow, a ventilation and blood flow balance, a lung motion amount, lung movement directions, and the like.
The functional information representative also includes information indicating an abnormal site. The functional information representative also includes information concerning a measurement of thorax width, diaphragm motion amount, respiratory tract diameter, heart width, lung field area, respiratory tract area, heart area, and the like.
The functional information (functional information representative) is divided into an image group and a measurement group.
The functional information (functional information representative) included in the image group is, for example, ventilation, blood flow, a ventilation and blood flow balance, a lung motion amount, lung movement directions, an abnormal site, and the like.
Ventilation is presented by change in pixel values of a low frequency synchronized with respiration. The functional information indicating ventilation is information on the size of change in flows of exhalation and inhalation by respiration in each position (pixel) given as pixel values. The functional information (functional information representative) indicating ventilation is displayed as an image colored according to such pixel values.
Blood flow is presented by change in pixel values of a high frequency synchronized with heartbeat. The functional information indicating blood flow is information on the size of change in blood flow in each position (pixel) given as pixel values. The functional information (functional information representative) indicating blood flow is displayed as an image colored according to such pixel values.
A ventilation and blood flow balance is a ratio between ventilation and blood flow. The functional information indicating a ventilation and blood flow balance is information on the ratio between ventilation and blood flow in each position (pixel) given as pixel values. The functional information (functional information representative) indicating a ventilation and blood flow balance is displayed as an image colored according to such pixel values.
A lung motion amount is an amount of movement at each position of the lungs along with respiration, which is obtained, for example, by an amount of movement at a required position calculated by an optical flow process. The functional information indicating a lung motion amount is information on an amount of movement in each position (pixel) given as pixel values. The functional information (functional information representative) indicating a lung motion amount is displayed as an image colored according to such pixel values.
Lung movement directions (angle) are information on directions of movement of the lungs along with respiration, which is obtained, for example, by movement directions at positions calculated by an optical flow process. The functional information indicating lung movement directions is information on movement directions at positions associated with respective positions (pixels). The functional information (functional information representative) indicating directions of movement is displayed as an image colored according to the directions of movement at respective positions (pixels).
An abnormal site is a site with an abnormality detected from results of analysis of ventilation, blood flow, ventilation and blood flow balance, lung motion amount, lung movement directions, or the like. For example, a threshold value of a movement is 1 cm, a site where the movement is smaller than 1 cm is an abnormal site. The functional information representative indicating an abnormal site is displayed on an image on which pixels of a part corresponding to an abnormal site are represented by a color distinguished from the rest of the image.
An abnormal site is detected on each image that corresponds to each frame image of a dynamic image and that has signal values of the functional information indicating ventilation, blood flow, a ventilation and blood flow balance, a lung motion amount, lung movement directions, or the like given as pixel values. Which function is used in detection of an abnormal site may be determined by a user or preset in advance.
The functional information (functional information representative) included in the measurement group is, for example, a thorax width, a diaphragm motion amount, a respiratory tract diameter, a heart width, a lung field area, a respiratory tract area, and a heart area.
The functional information representative indicating the thorax width, diaphragm motion amount, respiratory tract diameter, or heart width includes the minimum value and the maximum value (or change amount) of measured results concerning each part. The functional information representative indicating the thorax width, diaphragm motion amount, respiratory tract diameter, or heart width may include lines, dots, or arrows indicating the part of the measurement target.
The functional information representative indicating the lung field area, respiratory tract area, or heart area includes the minimum value and the maximum value (or change amount) of measured results concerning each part. The functional information representative indicating the lung field area, respiratory tract area, or heart area may include contours indicating the area corresponding to the measured area.
The controller 31 generates the functional information representative from a frame image (singular point) where change caused by biological motion is the maximum among multiple frame images of a dynamic image. The singular point is a representative frame image corresponding to a representative moment in dynamics among frame images of a dynamic image.
For example, for ventilation or blood flow, the controller 31 specifies a frame image where the average signal value of ventilation or blood flow in the lung field as a singular point, and specifies the functional information (visualized information indicating signal values of ventilation or blood flow) at the singular point as the functional information representative.
For a thorax width or lung field area, the controller 31 specifies a frame image where the thorax width or lung field area is the maximum and a frame image where the thorax width or lung field area is the minimum as singular points, and generates the functional information representative from the functional information (maximum and minimum values) at the singular points.
The controller 31 generates a single representative image by image processing of multiple images with pixel values indicating change caused by biological motion corresponding to each of multiple frame images of a dynamic image.
The image processing may be maximum intensity projection processing, minimum intensity projection processing, or peak-to-peak processing, for example.
In the maximum intensity projection processing, the maximum signal values for respective pixels (positions) along time are calculated from a functional information image (an image with pixel values of signal values indicating ventilation, blood flow, etc.) corresponding to each frame image and are used as pixel values.
In the minimum intensity projection processing, the minimum signal values for respective pixels (positions) along time are calculated from a functional information image (an image with pixel values of signal values indicating ventilation, blood flow, etc.) corresponding to each frame image and are used as pixel values.
In the peak-to-peak processing, the maximum and minimum signal values for respective pixels (positions) along time are calculated from a functional information image (an image with pixel values of signal values indicating ventilation, blood flow, etc.) corresponding to each frame image, and differences between the maximum and minimum values are used as pixel values.
The controller 31 deforms and positions the second analysis target area so that the second analysis target area corresponds to the first analysis target area. The controller 31 functions as a position adjusting means. The controller 31 overlays on the static image the functional information representative in the second analysis target area which has undergone the deformation and positioning. The controller 31 functions as an overlaying means.
The controller 31 displays, on the display 34, the static image on which the functional information representative is overlaid. The controller 31 functions as a display controlling means.
The first analysis target area 42 is detected on the static image 41, and the second analysis target area 44 corresponding to the first analysis target area 42 is detected on each frame image of the dynamic image 43. The order of detection of the first analysis target area 42 and the second analysis target area 44 is not limited, and whichever area may be detected first.
The functional information 45 is generated for the second analysis target area 44 on each frame image, and the functional information representative 46 representing the dynamic image 43 is generated from the functional information 45 of each frame image.
The second analysis target area 44 including the functional information representative 46 is deformed and positioned so that the second analysis target area 44 corresponds to the first analysis target area 42.
The deformed and positioned functional information representative 46 is overlaid on the static image 41, and a static image 47 with the functional information representative is generated.
The functional information 45 (functional information representative 46) obtained from the dynamic image 43 may be read on the static image 47 with the functional information representative even though the static image 47 is a single image.
Next, the operation of the imaging system 100 is described.
First, imaging actions by the imaging device 1 and the imaging console 2 are described.
First, an examiner operates the operation interface 23 of the imaging console 2 to input patient information of the subject (M) and examination information (Step S1).
Next, the controller 21 reads radiation emission conditions from the storage 22 so as to set them in the radiation emission controller 12, and also reads image reading conditions from the storage 22 so as to set them in the reading controller 14 (Step S2).
Next, the controller 21 is on standby for an imaging command to be input via the operation interface 23 (Step S3). Here, the examiner places the subject M between the radiation source 11 and the radiation detector 13 for positioning. When imaging is ready, the examiner operates the operation interface 23 so as to input an imaging command.
In receipt of the imaging command input via the operation interface 23 (Step S3; YES), the controller 21 outputs an imaging command of a static image to the radiation emission controller 12 and the reading controller 14 and starts static imaging (Step S4). The static image obtained by imaging are input to the imaging console 2 and stored in the storage 22.
Next, the controller 21 outputs an imaging command of a dynamic image to the radiation emission controller 12 and the reading controller 14 and starts dynamic imaging (Step S5). Specifically, the radiation source 11 emits radiation at pulse intervals set in the radiation emission controller 12, and accordingly the radiation detector 13 obtains (generates) a series of frame images. When imaging of a predetermined number of frame images is done, the hardware processor 21 outputs an imaging end command to the radiation emission controller 12 and the reading controller 14 and stops the imaging actions. The frame images obtained by imaging are successively input to the imaging console 2 and stored in the storage 22, being associated with successive numbers indicating the imaging order of the respective frame images (frame numbers).
Next, the controller 21 displays the static image and the dynamic image on the display 24 (Step S6).
The examiner checks the static image and the dynamic image, and determines whether the images are suitable for diagnosis (imaging successful) or re-imaging is necessary (imaging unsuccessful). The examiner then operates the operation interface 23 to input the determination.
If the determination indicating “successful imaging” is input via the operation interface 23 (Step S7; YES), the controller 21 attaches, to the static image and the respective frame images obtained by dynamic imaging (e.g. writes in the header region of the image data in DICOM), information such as IDs to identify the images, the patient information, the examination information, the radiation emission conditions, the image reading conditions, and the like, and sends them to the diagnostic console 3 by the communication unit 25 (Step S8). The successive numbers indicating the imaging order of the respective frame images (frame numbers) are attached to the frame images of the dynamic image.
On contrary, if the determination indicating “unsuccessful imaging” is input via the operation interface 23 (Step S7; YES), the controller 21 deletes the static image and the dynamic image stored from the storage 22 (Step S9).
In that case, re-imaging is required.
After Step S8 or S9, the imaging control process ends.
Next, actions of the diagnostic console 3 are described.
First, on the diagnostic console 3, a type of the functional information representative to be displayed is selected with operation via the operation interface 33 by an image diagnostician such as a doctor (Step S11). For example, in a case where the functional information representative indicating ventilation is to be added on a static image. “ventilation” is selected. Multiple types of the functional information representative may be selected. The type of the functional information representative may be preset.
Next, the controller 31 obtains the static image and the dynamic image (a series of frame images) from the imaging console 2 via the communication unit 35 (Step S12), and the obtained static image and dynamic image are stored in the storage 32.
The controller 31 then detects the first analysis target area on the static image (Step S13). For example, the “lung field” is detected on a frontal chest image (static image). Specifically, a contour of the lung field is recognized by known image processing technologies of edge detection, dynamic contour model, segmentation, and the like.
The controller 31 then detects the second analysis target area corresponding to the first analysis target area on the dynamic image (Step S14). For example, the “lung field” is detected on a frontal chest image (each frame image of the dynamic image). Specifically, a contour of the lung field is recognized by known image processing technologies of edge detection, dynamic contour model, segmentation, and the like.
Next, the controller 31 analyzes the second analysis target area of the dynamic image and generates the functional information representative from the change caused by biological motion (Step S15).
For example, for ventilation, blood flow, a ventilation and blood flow balance, a lung motion amount, or lung movement directions, the controller 31 specifies a frame image (singular point) where change caused by the biological motion is the maximum as a singular point, and sets the functional information at the singular point as the functional information representative.
Alternatively, the controller 31 generates the functional information representative (a single representative image) by image processing of multiple images with pixel values indicating change caused by biological motion corresponding to each of multiple frame images of a dynamic image. The image processing includes maximum intensity projection processing, minimum intensity projection processing, and peak-to-peak processing.
For an abnormal site, the controller 31 detects an abnormal site in the functional information corresponding to each frame image of the dynamic image and generates an image indicating the abnormal site as the functional information representative.
For example, signal values indicating the functional information in the normal state (normal values) are stored as the reference values, and an area largely deviating from the normal values is specified as an abnormal site.
As shown in
For a thorax width, a respiratory tract diameter, a heart width, a lung field area, a respiratory tract area, or a heart area, the controller 31 specifies frame images where the measured values are the maximum and the minimum as singular points, and generates the functional information representative (the maximum and minimum measured values, lines, arrows, contours, or the like) from the functional information at the singular points.
For a diaphragm motion amount, the controller 31 specifies frame images where the diaphragm is at the highest and the lowest positions as singular points, and generates the functional information representative (lines or the like indicating the diaphragm motion amount or the diaphragm position) from a difference in the diaphragm position between those frame images (change amount).
Next, the controller 31 deforms and positions the second analysis target area so that the second analysis target area including the functional information representative corresponds to the first analysis target area (Step S16). For example, multiple pairs of corresponding points are obtained on the contours of the first analysis target area and the second analysis target area, and shift vectors between the corresponding points (motion amount vectors) are calculated. Then, an affine transformation is performed in the second analysis target area based on the shift vectors and thereby the second analysis target area corresponds to the first analysis target area.
Next, the controller 31 overlays the functional information representative in the deformed and positioned second analysis target area on the static image (Step S17). The functional information representative may be layered on the static image after the functional information representative is made transparent with a predetermined transparency.
The controller 31 then displays, on the display 34, the static image on which the functional information representative is overlaid (Step S18).
The functional information representative addition process ends here.
In a case where the functional information representative in the image group is selected, an image indicating the motion along with biological motion is added to the static image.
Specifically, the measurement positions are displayed by lines and dots on the static image. In a case where a width or diameter is measured, the measured range is displayed by arrows and measured values.
The displayed arrows and the measured values are preferably positioned not to overlap with the analysis target area (region of interest). If the arrows and measured values indicating the thorax width overlap with the lung field on the frontal chest image as shown in
For example, when the measured area is in the upper half of the image, the arrows and values are shown between the lung field area and the upper end of the image. When the measured area is in the lower half of the image, the arrows and values are shown between the lung field area and the lower end of the image.
In a case where an area is measured, the measured range is displayed by a contour and measured values.
As described hereinbefore, according to this embodiment, a representative result (functional information representative) is generated from functional information obtained by analysis of a dynamic image and is overlaid on a static image, which makes it possible to read the functional information representative on a single image. This saves doctors time for diagnosis.
As the static image on which the representative functional image is overlaid is displayed, diagnostic evaluation for the dynamic image can be omitted.
In a case where the representative functional information is generated from a frame image where change caused by biological motion is the maximum among multiple frame images of a dynamic image, the functional information representative capturing a moment when the biological motion is largest may be generated. In a case where a single representative image by image processing (maximum intensity projection processing, minimum intensity projection processing, peak-to-peak processing, or the like) of multiple images with pixel values indicating change caused by biological motion corresponding to each of multiple frame images of a dynamic image, a type of the image processing may be selected according to the object.
The above description of the embodiments is an example of the image processing apparatus and the image processing method according to the present invention, and is not intended to limit the scope of the invention. The detailed configurations/components and operations of the components constituting the image forming apparatus can also be appropriately modified within the scope of the present invention.
For example, a static image may not be taken separately from a dynamic image. Part of frame images of a dynamic image may be combined to generate a composite image as a static image. A composite image may also be generated from the average pixel values of frame images calculated for each pixel.
In a frontal chest image during respiration, the image densities vary according to the respiratory movement of exhalation and inhalation. A composite image may be generated by combining frame images in the same phase (or a near phase) in the respiratory movement among multiple frame images of a dynamic image, or frame images during the maximum inhalation (or exhalation) in the respiratory movement.
In a case where a dynamic image (frontal chest image) is taken while the subject holds the breath, a composite image may be generated by combining multiple frames during the breath holding or combining frame images corresponding to a systolic (or diastolic) phase.
In the functional information representative addition process (see
In the above embodiment, the diagnostic console 3 executes the functional information representative addition process. However, the image management device (PACS) may store the functional information representative generated by the image processing apparatus such as the diagnostic console 3 and overlays the functional information representative on the static image in response to a command from a computer to obtain the image so that the static image with the functional information representative imposed is displayed on the display of the computer.
In a case where the measured values are displayed on the static image as the functional information representative, the positions of the lines and contour indicating the measured object may be obtained from the first analysis target area of the static image.
In the above description, a non-volatile semiconductor memory: a hard disk, and the like are used as the computer-readable medium storing the programs for executing the operations, but the present invention is not limited to these examples. A portable storage medium such as a CD-ROM can be used as the computer readable recording medium. A carrier wave may be also used as a medium providing the program data via a communication line.
| Number | Date | Country | Kind |
|---|---|---|---|
| 2020-101305 | Jun 2020 | JP | national |
This application is a continuation of U.S. patent application Ser. No. 17/340,608 filed Jun. 7, 2021, which claimed the priority of Japanese Patent Application No. 2020-101305 filed on Jun. 11, 2020, which is incorporated herein by reference in its entirety.
| Number | Date | Country | |
|---|---|---|---|
| Parent | 17340608 | Jun 2021 | US |
| Child | 18412816 | US |
