Patent Grant
8817243
The present invention relates to devices and methods for measuring the color of objects, and more particularly to devices and methods for measuring the color of teeth, fabric or other objects or surfaces with a hand-held probe that presents minimal problems with height or angular dependencies.
Various color measuring devices such as spectrophotometers and colorimeters are known in the art. To understand the limitations of such conventional devices, it is helpful to understand certain principles relating to color. Without being bound by theory, Applicants provide the following discussion.
The color of an object determines the manner in which light is reflected from the surface of the object. When light is incident upon an object, the reflected light will vary in intensity and wavelength dependent upon the color of the surface of the object. Thus, a red object will reflect red light with a greater intensity than a blue or a green object, and correspondingly a green object will reflect green light with a greater intensity than a red or blue object.
One method of quantifying the color of an object is to illuminate it with broad band spectrum or “white” light, and measure the spectral properties of the reflected light over the entire visible spectrum and compare the reflected spectrum with the incident light spectrum. Such instruments typically require a broad band spectrophotometer, which generally are expensive, bulky and relatively cumbersome to operate, thereby limiting the practical application of such instruments.
For certain applications, the broad band data provided by a spectrophotometer is unnecessary. For such applications, devices have been produced or proposed that quantify color in terms of a numerical value or relatively small set of values representative of the color of the object.
It is known that the color of an object can be represented by three values. For example, the color of an object can be represented by red, green and blue values, an intensity value and color difference values, by a CIE value, or by what are known as “tristimulus values” or numerous other orthogonal combinations. It is important that the three values be orthogonal; i.e., any combination of two elements in the set cannot be included in the third element.
One such method of quantifying the color of an object is to illuminate an object with broad band “white” light and measure the intensity of the reflected light after it has been passed through narrow band filters. Typically three filters (such as red, green and blue) are used to provide tristimulus light values representative of the color of the surface. Yet another method is to illuminate an object with three monochromatic light sources (such as red, green and blue) one at a time and then measure the intensity of the reflected light with a single light sensor. The three measurements are then converted to a tristimulus value representative of the color of the surface. Such color measurement techniques can be utilized to produce equivalent tristimulus values representative of the color of the surface. Generally, it does not matter if a “white” light source is used with a plurality of color sensors (or a continuum in the case of a spectrophotometer), or if a plurality of colored light sources are utilized with a single light sensor.
There are, however, difficulties with the conventional techniques. When light is incident upon a surface and reflected to a light receiver, the height of the light sensor and the angle of the sensor relative to the surface and to the light source also affect the intensity of the received light. Since the color determination is being made by measuring and quantifying the intensity of the received light for different colors, it is important that the height and angular dependency of the light receiver be eliminated or accounted for in some manner.
One method for eliminating the height and angular dependency of the light source and receiver is to provide a fixed mounting arrangement where the light source and receiver are stationary and the object is always positioned and measured at a preset height and angle. The fixed mounting arrangement greatly limits the applicability of such a method. Another method is to add mounting feet to the light source and receiver probe and to touch the object with the probe to maintain a constant height and angle. The feet in such an apparatus must be wide enough apart to insure that a constant angle (usually perpendicular) is maintained relative to the object. Such an apparatus tends to be very difficult to utilize on small objects or on objects that are hard to reach, and in general does not work satisfactorily in measuring objects with curved surfaces.
The use of color measuring devices in the field of dentistry has been proposed. In modern dentistry, the color of teeth typically are quantified by manually comparing a patient's teeth with a set of “shade guides.” There are numerous shade guides available for dentists in order to properly select the desired color of dental prosthesis. Such shade guides have been utilized for decades and the color determination is made subjectively by the dentist by holding a set of shade guides next to a patient's teeth and attempting to find the best match. Unfortunately, however, the best match often is affected by the ambient light color in the dental operatory and the surrounding color of the patient's makeup or clothing and by the fatigue level of the dentist.
Similar subjective color quantification also is made in the paint industry by comparing the color of an object with a paint reference guide. There are numerous paint guides available in the industry and the color determination also often is affected by ambient light color, user fatigue and the color sensitivity of the user. Many individuals are color insensitive (color blind) to certain colors, further complicating color determination.
In general, color quantification is needed in many industries. Several, but certainly not all, applications include: dentistry (color of teeth); dermatology (color of skin lesions); interior decorating (color of paint, fabrics); the textile industry; automotive repair (matching paint colors); photography (color of reproductions, color reference of photographs to the object being photographed); printing and lithography; cosmetics (hair and skin color, makeup matching); and other applications in which it useful to measure color in an expedient and reliable manner.
With respect to such applications, however, the limitations of conventional color measuring techniques typically restrict the utility of such techniques. For example, the high cost and bulkiness of typical broad band spectrometers, and the fixed mounting arrangements or feet required to address the height and angular dependency, often limit the applicability of such conventional techniques.
Moreover, another limitation of such conventional methods and devices are that the resolution of the height and angular dependency problems typically require contact with the object being measured. In certain applications, it may be desirable to measure and quantify the color of an object with a small probe that does not require contact with the surface of the object. In certain applications, for example, hygienic considerations make such contact undesirable. In the other applications such as interior decorating, contact with the object can mar the surface (such as if the object is coated with wet paint) or otherwise cause undesirable effects.
In summary, there is a need for a low cost, hand-held probe of small size that can reliably measure and quantify the color of an object without requiring physical contact with the object, and also a need for methods based on such a device in the field of dentistry and other applications.
In accordance with the present invention, devices and methods are provided for measuring the color of objects, reliably and with minimal problems of height and angular dependence. A handheld probe is utilized in the present invention, with the handheld probe containing a number of fiber optics. Light is directed from one (or more) light source fiber optics towards the object to be measured, which in certain preferred embodiments is a central light source fiber optic (other light source arrangements also may be utilized). Light reflected from the object is detected by a number of light receiver fiber optics. Included in the light receiver fiber optics are a plurality of perimeter fiber optics. In certain preferred embodiments, three perimeter fiber optics are utilized in order to take measurements at a desired, and predetermined height and angle, thereby minimizing height and angular dependency problems found in conventional methods. In certain embodiments, the present invention also may measure translucence and fluorescence characteristics of the object being measured, as well as surface texture and/or other surface characteristics.
The present invention may include constituent elements of a broad band spectrophotometer, or, alternatively, may include constituent elements of a tristimulus type colorimeter. The present invention may employ a variety of color measuring devices in order to measure color in a practical, reliable and efficient manner, and in certain preferred embodiments includes a color filter array and a plurality of color sensors. A microprocessor is included for control and calculation purposes. A temperature sensor is included to measure temperature in order to detect abnormal conditions and/or to compensate for temperature effects of the filters or other components of the system. In addition, the present invention may include audio feedback to guide the operator in making color measurements, as well as one or more display devices for displaying control, status or other information.
With the present invention, color measurements may be made with a handheld probe in a practical and reliable manner, essentially free of height and angular dependency problems, without resorting to fixtures, feet or other undesirable mechanical arrangements for fixing the height and angle of the probe with respect to the object.
Accordingly, it is an object of the present invention to address limitations of conventional color measuring techniques.
It is another object of the present invention to provide a method and device useful in measuring the color of teeth, fabric or other objects or surfaces with a hand-held probe of practical size that does not require contact with the object or surface.
It is a further object of the present invention to provide a color measurement probe and method that does not require fixed position mechanical mounting, feet or other mechanical impediments.
It is yet another object of the present invention to provide a probe and method useful for measuring color that may be utilized with a probe simply placed near the surface to be measured.
It is a still further object of the present invention to provide a probe and method that are capable of determining translucency characteristics of the object being measured.
It is a further object of the present invention to provide a probe and method that are capable of determining surface texture characteristics of the object being measured.
It is a still further object of the present invention to provide a probe and method that are capable of determining fluorescence characteristics of the object being measured.
Finally, it is an object of the present invention to provide a probe and method that can measure the area of a small spot singulary, or that also can measure irregular shapes by moving the probe over an area and integrating the color of the entire area.
The present invention may be more fully understood by a description of certain preferred embodiments in conjunction with the attached drawings in which:
The present invention will be described in greater detail with reference to certain preferred embodiments.
With reference to
Probe tip 1 encloses a plurality of fiber optics, each of which may constitute one or more fiber optic fibers. In a preferred embodiment, the fiber optics contained within probe tip 1 includes a single light source fiber optic and three light receiver fiber optics. The use of such fiber optics to measure the color of an object will be described later herein. Probe tip 1 is attached to probe body 2, on which is fixed switch 17. Switch 17 communicates with microprocessor 10 through wire 18 and provides, for example, a mechanism by which an operator may activate the device in order to make a color measurement. Fiber optics within probe tip 1 terminate at the forward end thereof (i.e., the end away from probe body 2). The forward end of probe tip 1 is directed towards the surface of the object to be measured as described more fully below. The fiber optics within probe tip 1 optically extend through probe body 2 and through fiber optic cable 3 to light sensors 8, which are coupled to microprocessor 10.
It should be noted that microprocessor 10 includes conventional associated components, such as memory (programmable memory, such as PROM, EPROM or EEPROM; working memory such as DRAMs or SRAMs; and/or other types of memory such as non-volatile memory, such as FLASH), peripheral circuits, clocks and power supplies, although for clarity such components are not explicitly shown. Other types of computing devices (such as other microprocessor systems, programmable logic arrays or the like) are used in other embodiments of the present invention.
In the embodiment of
Light source 11 in the preferred embodiment is a halogen light source (of, for example, 5-100 watts, with the particular wattage chosen for the particular application), which may be under the control of microprocessor 10. The light from light source 11 reflects from cold mirror 6 and into source fiber optic 5. Source fiber optic 5 passes through to the forward end of probe tip 1 and provides the light stimulus used for purposes of making the measurements described herein. Cold mirror 6 reflects visible light and passes infra-red light, and is used to reduce the amount of infra-red light produced by light source 11 before the light is introduced into source fiber optic 5. Such infra-red light reduction of the light from a halogen source such as light source 11 can help prevent saturation of the receiving light sensors, which can reduce overall system sensitivity. Fiber 15 receives light directly from light source 11 and passes through to light sensors 8 (which may be through a neutral density filter). Microprocessor 10 monitors the light output of light source 11 through fiber 15, and thus may monitor and, if necessary compensate for, drift of the output of light source 11. In certain embodiments, microprocessor 10 also may sound an alarm (such as through speaker 16) or otherwise provide some indication if abnormal or other undesired performance of light source 11 is detected.
The data output from light sensors 8 pass to microprocessor 10. Microprocessor 10 processes the data from light sensors 8 to produce a measurement of color and/or other characteristics. Microprocessor 10 also is coupled to key pad switches 12, which serve as an input device. Through key pad switches 12, the operator may input control information or commands, or information relating to the object being measured or the like. In general, key pad switches 12, or other suitable data input devices (such as push button, toggle, membrane or other switches or the like), serve as a mechanism to input desired information to microprocessor 10.
Microprocessor 10 also communicates with UART 13, which enables microprocessor 10 to be coupled to an external device such as computer 13A. In such embodiments, color data provided by microprocessor 10 may be processed as desired for the particular application, such as for averaging, format conversion or for various display or print options, etc. In the preferred embodiment, UART 13 is configured so as to provide what is known as a RS232 interface, such as is commonly found in personal computers.
Microprocessor 10 also communicates with LCD 14 for purposes of displaying status, control or other information as desired for the particular application. For example, color bars, charts or other graphic representations of the color or other collected data and/or the measured object or tooth may be displayed. In other embodiments, other display devices are used, such as CRTs, matrix-type LEDs, lights or other mechanisms for producing a visible indicia of system status or the like. Upon system initialization, for example, LCD 14 may provide an indication that the system is stable, ready and available for taking color measurements.
Also coupled to microprocessor 10 is speaker 16. Speaker 16, in a preferred embodiment as discussed more fully below, serves to provide audio feedback to the operator, which may serve to guide the operator in the use of the device. Speaker 16 also may serve to provide status or other information alerting the operator of the condition of the system, including an audio tone, beeps or other audible indication (i.e., voice) that the system is initialized and available for taking measurements. Speaker 16 also may present audio information indicative of the measured data, shade guide or reference values corresponding to the measured data, or an indication of the status of the color measurements.
Microprocessor 10 also receives an input from temperature sensor 9. Given that many types of filters (and perhaps light sources or other components) may operate reliably only in a given temperature range, temperature sensor 9 serves to provide temperature information to microprocessor 10. In particular, color filters, such as may be included in light sensors 8, are sensitive to temperature, and operate reliably only over a certain temperature range. In certain embodiments, if the temperature is within a usable range, microprocessor 10 may compensate for temperature variations of the color filters. In such embodiments, the color filters are characterized as to filtering characteristics as a function of temperature, either by data provided by the filter manufacturer, or through measurement as a function of temperature. Such filter temperature compensation data may be stored in the form of a look-up table in memory, or may be stored as a set of polynomial coefficients from which the temperature characteristics of the filters may be computed by microprocessor 10.
In general, under control of microprocessor 10, which may be in response to operator activation (through, for example, key pad switches 12 or switch 17), light is directed from light source 11, and reflected from cold mirror 6 through source fiber optic 5 (and through fiber optic cable 3, probe body 2 and probe tip 1) and is directed onto object 20. Light reflected from object 20 passes through the receiver fiber optics in probe tip 1 to light sensors 8 (through probe body 2, fiber optic cable 3 and fibers 7). Based on the information produced by light sensors 8, microprocessor 10 produces a color measurement result or other information to the operator. Color measurement or other data produced by microprocessor 10 may be displayed on display 14, passed through UART 13 to computer 13A, or used to generate audio information that is presented to speaker 16. Other operational aspects of the preferred embodiment illustrated in
With reference to
In the illustrated preferred embodiment, receiver fiber optics R1 to R3 are positioned symmetrically around source fiber optic S, with a spacing of about 120 degrees from each other. It should be noted that spacing t is provided between receiver fiber optics R1 to R3 and source fiber optic S. While the precise angular placement of the receiver fiber optics around the perimeter of the fiber bundle in general is not critical, it has been determined that three receiver fiber optics positioned 120 degrees apart generally may give acceptable results. As discussed above, in certain embodiments light receiver fiber optics R1 to R3 each constitute a single fiber, which is divided at splicing connector 4 (refer again to
In one particular aspect of the present invention, area between the fiber optics on probe tip 1 may be wholly or partially filled with a non-reflective material and/or surface (which may be a black mat, contoured or other non-reflective surface). Having such exposed area of probe tip 1 non-reflective helps to reduce undesired reflections, thereby helping to increase the accuracy and reliability of the present invention.
With reference to
Light from fibers 7 is presented to sensors 8, which in a preferred embodiment pass through filters 22 to sensing elements 24. In this preferred embodiment, sensing elements 24 include light-to-frequency converters, manufactured by Texas Instruments and sold under the part number TSL230. Such converters constitute, in general, photo diode arrays that integrate the light received from fibers 7 and output an AC signal with a frequency proportional to the intensity (not frequency) of the incident light. Without being bound by theory, the basic principle of such devices is that, as the intensity increases, the integrator output voltage rises more quickly, and the shorter the integrator rise time, the greater the output frequency. The outputs of the TSL230 sensors are TTL or CMOS compatible digital signals, which may be coupled to various digital logic devices.
The outputs of sensing elements 24 are, in this embodiment, asynchronous signals of frequencies depending upon the light intensity presented to the particular sensing elements, which are presented to processor 26. In a preferred embodiment, processor 26 is a Microchip PIC16C55 microprocessor, which as described more fully herein implements an algorithm to measure the frequencies of the signals output by sensing elements 24.
As previously described, processor 26 measures the frequencies of the signals output from sensing elements 24. In a preferred embodiment, processor 26 implements a software timing loop, and at periodic intervals processor 26 reads the states of the outputs of sensing elements 24. An internal counter is incremented each pass through the software timing loop. The accuracy of the timing loop generally is determined by the crystal oscillator time base (not shown in
It should be noted that the sensing circuitry and methodology illustrated in
As discussed above with reference to
The remaining twelve fibers (of the preferred embodiment's total of 16 fibers) of fibers 7 pass through color filters and are used to produce the color measurement. In a preferred embodiment, the color filters are Kodak Sharp Cutting Wratten Gelatin Filters, which pass light with wavelengths greater than the cut-off value of the filter (i.e., redish values), and absorb light with wavelengths less than the cut-off value of the filter (i.e., bluish values). “Sharp Cutting” filters are available in a wide variety of cut-off frequencies/wavelengths, and the cut-off values generally may be selected by proper selection of the desired cut-off filter. In a preferred embodiment, the filter cut-off values are chosen to cover the entire visible spectrum and, in general, to have band spacings of approximately the visible band range (or other desired range) divided by the number of receivers/filters. As an example, 700 nanometers minus 400 nanometers, divided by 11 bands (produced by twelve color receivers/sensors), is roughly 30 nanometer band spacing.
With an array of cut-off filters as described above, and without being bound by theory or the specific embodiments described herein, the received optical spectrum may be measured/calculated by subtracting the light intensities of “adjacent” color receivers. For example, band 1 (400 nm to 430 nm)=(intensity of receiver 12) minus (intensity of receiver 11), and so on for the remaining bands. Such an array of cut-off filters, and the intensity values that may result from filtering with such an array, are more fully described in connection with
In a preferred embodiment of the present invention, the specific characteristics of the light source, filters, sensors and fiber optics, etc., are normalized/calibrated by directing the probe towards, and measuring, a known color standard. Such normalization/calibration may be performed by placing the probe in a suitable fixture, with the probe directed from a predetermined position (i.e., height and angle) from the known color standard. Such measured normalization/calibration data may be stored, for example, in a look-up table, and used by microprocessor 10 to normalize or correct measured color or other data. Such procedures may be conducted at start-up, at regular periodic intervals, or by operator command, etc.
What should be noted from the above description is that the receiving and sensing fiber optics and circuitry illustrated in
It also should be noted that such a system measures the spectral band of the reflected light from the object, and once measured such spectral data may be utilized in a variety of ways. For example, such spectral data may be displayed directly as intensity-wavelength band values. In addition, tristimulus type values may be readily computed (through, for example, conventional matrix math), or any other desired color values. In one particular embodiment useful in dental applications (such as for dental prostheses), the color data is output in the form of a closest match or matches of dental shade guide value(s). In a preferred embodiment, various existing shade guides (such as the shade guides produced by Vita Zahnfabrik) are characterized and stored in a look-up table, and the color measurement data are used to select the closest shade guide value. In still other embodiments, the color measurement data are used (such as with look-up tables) to select materials for the composition of paint or ceramics such as for prosthetic teeth. There are many other uses of such spectral data measured in accordance with the present invention.
It is known that certain objects such as human teeth may fluoresce, and such characteristics also may be measured in accordance with the present invention. A light source with an ultraviolet component may be used to produce more accurate color data of such objects. In certain embodiments, a tungsten/halogen source (such as used in a preferred embodiment) may be combined with a UV light source (such as a mercury vapor, xenon or other fluorescent light source, etc.) to produce a light output capable of causing the object to fluoresce. Alternately, a separate UV light source, combined with a visible-light-blocking filter, may be used to illuminate the object. Such a UV light source may be combined with light from a red LED (for example) in order to provide a visual indication of when the UV light is on and also to serve as an aid for the directional positioning of the probe operating with such a light source. A second measurement may be taken using the UV light source in a manner analogous to that described earlier, with the band of the red LED or other supplemental light source being ignored. The second measurement may thus be used to produce an indication of the fluorescence of the tooth or other object being measured. With such a UV light source, a silica fiber optic (or other suitable material) typically would be required to transmit the light to the object (standard fiber optic materials such as glass and plastic do not propagate UV light in a desired manner, etc.).
As described earlier, the present invention utilizes a plurality of perimeter receiver fiber optics spaced apart from and around a central source fiber optic to measure color and determine information regarding the height and angle of the probe with respect to the surface of the object being measured, which may include surface characteristic information, etc. Without being bound by theory, a principle underlying this aspect of the present invention will now be described with reference to
In order to propagate light without loss, the light must be incident within the core of the fiber optic at an angle less than the critical angle, phi, where phi=Sin−1 {n1/n0}, where n0 is the index of refraction of the core and n1 is the index of refraction of the cladding. Thus, all light must enter the fiber at an angle less than the critical angle, or it will not be propagated in a desired manner.
For light entering a fiber optic, it must enter within the acceptance angle phi. Similarly, when the light exits a fiber optic, it will exit the fiber optic within a cone of angle phi as illustrated in
Consider using a fiber optic as a light source. One end is illuminated by a light source (such as light source 11 of
The same principle generally is true for a fiber optic being utilized as a receiver. Consider mounting a light sensor on one end of a fiber optic and holding the other end near an illuminated surface. The fiber optic can only propagate light without loss when the light entering the fiber optic is incident on the end of the fiber optic near the surface if the light enters the fiber optic within its acceptance angle phi. A fiber optic utilized as a light receiver near a surface will only accept and propagate light from the circular area of radius r on the surface. As the fiber optic is raised from the surface, the area increases. As the fiber optic is lowered to the surface, the area decreases.
Consider two fiber optics parallel to each other as illustrated in
As discussed earlier, the intensity of the light in the circular area illuminated by the source fiber increases as the fiber is lowered to the surface. The intersection of the two cones, however, decreases as the fiber optic pair is lowered. Thus, as the fiber optic pair is lowered to a surface, the total intensity of light received by the receiver fiber optic increases to a maximal value, and then decreases sharply as the fiber optic pair is lowered still further to the surface. Eventually, the intensity will decrease essentially to zero (assuming the object being measured is not translucent, as described more fully herein), and will remain essentially zero until the fiber optic pair is in contact with the surface. Thus, as a source-receiver pair of fiber optics as described above are positioned near a surface and as their height is varied, the intensity of light received by the receiver fiber optic reaches a maximal value at a critical height hc.
Again without being bound by theory, an interesting property of the critical height hc has been observed. The critical height hc is a function primarily of the geometry of fixed parameters, such as fiber apertures, fiber diameters and fiber spacing. Since the receiver fiber optic in the illustrated arrangement is only detecting a maximum value and not attempting to quantify the value, its maximum is independent of the surface characteristics. It is only necessary that the surface reflect sufficient light from the intersecting area of the source and receiver fiber optics to be within the detection range of the receiver fiber optic light sensor. Thus, red or green or blue or any color surface will all exhibit a maximum at the same critical height hc. Similarly, smooth reflecting surfaces and rough surfaces also will have varying intensity values at the maximal value, but generally speaking all such surfaces will exhibit a maximum at the same critical height hc. The actual value of the light intensity will be a function of the color of the surface and of the surface characteristics, but the height where the maximum intensity value occurs in general will not.
Although the above discussion has focused on two fiber optics perpendicular to a surface, similar analysis is applicable for fiber optic pairs at other angles. When a fiber optic is not perpendicular to a surface, it generally illuminates an elliptical area. Similarly, the acceptance area of a receiver fiber optic generally becomes elliptical. As the fiber optic pair is moved closer to the surface, the receiver fiber optic also will detect a maximal value at a critical height independent of the surface color or characteristics. The maximal intensity value measured when the fiber optic pair is not perpendicular to the surface, however, will be less than the maximal intensity value measured when the fiber optic pair is perpendicular to the surface.
Referring now to
As illustrated, two peak intensity values (discussed as P1 and P2 below) should be detected as the fiber optic pair moves to and from the object at the critical height hc. If peaks P1 and P2 produced by a receive fiber optic are the same value, this generally is an indication that the probe has been moved to and from the surface of the object to be measured in a consistent manner. If peaks P1 and P2 are of different values, then these may be an indication that the probe was not moved to and from the surface of the object in a desired manner, or that the surface is curved or textured, as described more fully herein. In such a case, the data may be considered suspect and rejected. In addition, peaks P1 and P2 for each of the perimeter fiber optics (see, e.g.,
In addition, the relative intensity level in region 3 serves as an indication of the level of translucency of the object being measured. Again, such principles generally are applicable to the totality of receiver fiber optics in the probe (see, e.g., fibers 7 of
In step 50, the system on a continuing basis monitors the intensity levels for the receiver fiber optics (see, e.g., fibers 7 of
In step 64, the system, under control of microprocessor 10, may analyze the collected data taken by the sensing circuitry for the various receiver fiber optics. In step 64, peaks P1 and P2 of one or more of the various fiber optics may be compared. If any of peaks P1 and P2 for any of the various receiver fiber optics have unequal peak values, then the color data may be rejected, and the entire color measuring process repeated. Again, unequal values of peaks P1 and P2 may be indicative, for example, that the probe was moved in a non-perpendicular or otherwise unstable manner (i.e., angular or lateral movement), and, for example, peak P1 may be representative of a first point on the object, while peak P2 may be representative of a second point on the object. As the data is suspect, in a preferred embodiment of the present invention, color data taken in such circumstances are rejected in step 64.
If the data are not rejected in step 64, the process proceeds to step 66. In step 66, the system analyzes the data taken from the neutral-density-filtered receivers from each of the perimeter fiber optics (e.g., R1 to R3 of
If the data are not rejected in step 66, the process proceeds to step 68. In step 68, the color data may be processed in a desired manner to produce output color measurement data. For example, such data may be normalized in some manner, or adjusted based on temperature compensation or other data detected by the system. The data also may be converted to different display or other formats, depending on the intended use of the color data. In addition, the data indicative of the translucence of the object also may be quantified and/or displayed in step 68. After step 68, the process may proceed to starting step 49, or the process may be terminated, etc.
In accordance the process illustrated in
With a system constructed and operating as described above, color measurements may be taken of an object, with accepted color data having height and angular dependencies removed. Data not taken at the critical height, or data not taken with the probe perpendicular to the surface of the object being measured, etc., are rejected in a preferred embodiment of the present invention. In other embodiments, data received from the perimeter fiber optics may be used to calculate the angle of the probe with respect to the surface of the object being measured, and in such embodiments non-perpendicular or curved surface color data may be compensated instead of rejected. It also should be noted that peak values P1 and P2 for the neutral density perimeter fiber optics provide a measure of the luminance (gray value) of the surface of the object being measured, and also may serve to quantify the color value.
The translucency of the object being measured may be quantified as a ratio or percentage, such as, for example, (IS/P1)×100%. In other embodiments, other methods of quantifying translucency data provided in accordance with the present invention are utilized.
In another particular aspect of the present invention, data generated in accordance with the present invention may be used to implement an automated material mixing/generation machine. Certain objects/materials, such as dental prostheses, are made from porcelain or other powders/materials that may be combined in the correct ratios to form the desired color of the object/prosthesis. Certain powders often contain pigments that generally obey Beer's law and/or act in accordance with Kubelka-Munk equations when mixed in a recipe. Color and other data taken from a measurement in accordance with the present invention may be used to determine or predict desired quantities of pigment or other materials for the recipe. Porcelain powders and other materials are available in different colors, opacities, etc. Certain objects, such as dental prostheses, may be layered to simulate the degree of translucency of the desired object (such as to simulate a human tooth). Data generated in accordance with the present invention also may be used to determine the thickness and position of the porcelain or other material layers to more closely produce the desired color, translucency, surface characteristics, etc. In addition, based on fluorescence data for the desired object, the material recipe may be adjusted to include a desired quantity of fluorescing-type material. In yet other embodiments, surface characteristics (such as texture) information (as more fully described herein) may be used to add a texturing material to the recipe, all of which may be carried out in accordance with the present invention.
For more information regarding such pigment-material recipe type technology, reference may be made to: “The Measurement of Appearance,” Second Edition, edited by Hunter and Harold, copyright 1987; “Principles of Color Technology,” by Billmeyer and Saltzman, copyright 1981; and “Pigment Handbook,” edited by Lewis, copyright 1988. All of the foregoing are believed to have been published by John Wiley & Sons, Inc., New York, N.Y., and all of which are hereby incorporated by reference.
In certain operative environments, such as dental applications, contamination of the probe is of concern. In certain embodiments of the present invention, implements to reduce such contamination are provided.
The thickness of the sapphire window should be less than the critical height of the probe in order to preserve the ability to detect peaking in accordance with the present invention. It also is believed that sapphire windows may be manufactured in a reproducible manner, and thus any light attenuation from one cap to another may be reproducible. In addition, any distortion of the color measurements produced by the sapphire window may be calibrated out by microprocessor 10.
Similarly, in other embodiments body 80 has a cap with a hole in the center (as opposed to a sapphire window), with the hole positioned over the fiber optic source/receivers. The cap with the hole serves to prevent the probe from coming into contact with the suface, thereby reducing the risk of contamination.
With reference to
Probe tip 100 includes central source fiber optic 106, surrounded by (and spaced apart from) three perimeter receiver fiber optics 104 and three color receiver fiber optics 102. Three perimeter receiver fiber optics 104 are optically coupled to neutral density filters and serve as height/angle sensors in a manner analogous to the embodiment describe above. Three color receiver fiber optics are optically coupled to suitable tristimulus filters, such as red, green and blue filters. With this embodiment, a measurement may be made of tristimulus color values of the object, and the process described with reference to
The plurality of receiver fiber optics are each coupled to two or more fiber optics in a manner similar to the arrangement illustrated in
Since a probe as illustrated in
In general, with the embodiment of
In general, with the embodiment of
As will be clear from the foregoing description, with the present invention a variety of types of spectral color photometers (or tristimulus-type colorimeters) may be constructed, with perimeter receiver fiber optics used to collect color data essentially free from height and angular deviations. In addition, in certain embodiments, the present invention enables color measurements to be taken at a critical height from the surface of the object being measured, and thus color data may be taken without physical contact with the object being measured (in such embodiments, the color data is taken only by passing the probe through region 1 and into region 2, but without necessarily going into region 3 of
Additional description will now be provided with respect to cut-off filters of the type described in connection with the preferred embodiment(s) of
Reference should be made to the
The operator may initiate a color measurement by activation of a switch (such as switch 17 of
With unique audio tones presented to an operator in accordance with the particular operating state of the system, the operator's use of the system may be greatly facilitated. Such audio information also tends to increase operator satisfaction and skill level, as, for example, acceptance tones provide positive and encouraging feedback when the system is operated in a desired manner.
As will be apparent to those skilled in the art, certain refinements may be made in accordance with the present invention. For example, a central light source fiber optic is utilized in certain preferred embodiments, but other light source arrangements (such as a plurality of light source fibers, etc.). In addition, lookup tables are utilized for various aspects of the present invention, but polynomial type calculations could similarly be employed. Thus, although various preferred embodiments of the present invention have been disclosed for illustrative purposes, those skilled in the art will appreciate that various modifications, additions and/or substitutions are possible without departing from the scope and spirit of the present invention as disclosed in the claims.
Reference is also made to copending application Ser. No. 08/582,054, filed Jan. 2, 1996, for “Apparatus and Method for Measuring the Color of Teeth,” by the inventors hereof, which is hereby incorporated by reference.
This application is a continuation of U.S. application Ser. No. 12/218,339, filed Jul. 14, 2008, now U.S. Pat. No. 8,159,666, which is a continuation of Ser. No. 11/523,763, filed Sep. 18, 2006, now U.S. Pat. No. 7,400,404, which is a continuation is a continuation of U.S. application Ser. No. 10/302,459, filed Nov. 22, 2002, now U.S. Pat. No. 7,113,283, which is a continuation of U.S. application Ser. No. 09/397,156 filed Sep. 15, 1999, now U.S. Pat. No. 6,490,038, which is a continuation of U.S. application. Ser. No. 09/267,825 filed on Mar. 12, 1999, now U.S. Pat. No. 6,307,629, which is a continuation of U.S. application Ser. No. 08/909,989 filed on Aug. 27, 1997, now U.S. Pat. No. 5,883,708, which is a continuation of U.S. application Ser. No. 08/581,851 filed on Jan. 2, 1996, now U.S. Pat. No. 5,745,229.
| Number | Name | Date | Kind |
|---|---|---|---|
| 3327584 | Kissinger | Jun 1967 | A |
| 3436157 | Adler et al. | Apr 1969 | A |
| 3507042 | Hana | Apr 1970 | A |
| 3555262 | Shimada | Jan 1971 | A |
| 3663813 | Shaw | May 1972 | A |
| 3684868 | Christie | Aug 1972 | A |
| 3709612 | Clemens | Jan 1973 | A |
| 3743429 | Kawai | Jul 1973 | A |
| 3748741 | Yerkes, Jr. | Jul 1973 | A |
| 3778541 | Bowker | Dec 1973 | A |
| 3792928 | Poilleux | Feb 1974 | A |
| 3918812 | Holm | Nov 1975 | A |
| 3940608 | Kissinger | Feb 1976 | A |
| 3986777 | Roll | Oct 1976 | A |
| 4054389 | Owen | Oct 1977 | A |
| 4057352 | Babb | Nov 1977 | A |
| 4088890 | Waters | May 1978 | A |
| 4096217 | Roll | Jun 1978 | A |
| 4115922 | Alderman | Sep 1978 | A |
| 4125329 | French et al. | Nov 1978 | A |
| 4150287 | Perkins | Apr 1979 | A |
| 4184175 | Mullane, Jr. | Jan 1980 | A |
| 4196988 | Kawasaki | Apr 1980 | A |
| 4207678 | Jeannette | Jun 1980 | A |
| 4241738 | Lübbers | Dec 1980 | A |
| 4269512 | Nosler | May 1981 | A |
| 4278353 | Ostermayer et al. | Jul 1981 | A |
| 4290433 | Alfano | Sep 1981 | A |
| 4324546 | Heitlinger et al. | Apr 1982 | A |
| 4382784 | Freller | May 1983 | A |
| 4411626 | Becker et al. | Oct 1983 | A |
| 4434654 | Hulsing, II et al. | Mar 1984 | A |
| 4464054 | Karras et al. | Aug 1984 | A |
| 4487206 | Aagard | Dec 1984 | A |
| 4505589 | Ott et al. | Mar 1985 | A |
| 4560275 | Goetz | Dec 1985 | A |
| 4568191 | Barry | Feb 1986 | A |
| 4575805 | Moermann et al. | Mar 1986 | A |
| 4589846 | Annoni | May 1986 | A |
| 4616933 | Leveque et al. | Oct 1986 | A |
| 4653905 | Farrar | Mar 1987 | A |
| 4654794 | O'Brien | Mar 1987 | A |
| 4666309 | Barry et al. | May 1987 | A |
| 4682182 | Oyama et al. | Jul 1987 | A |
| 4687329 | Schultz | Aug 1987 | A |
| 4707138 | Coatney | Nov 1987 | A |
| 4728290 | Eisner et al. | Mar 1988 | A |
| 4730922 | Bach et al. | Mar 1988 | A |
| 4773063 | Hunsperger et al. | Sep 1988 | A |
| 4798951 | Walker | Jan 1989 | A |
| 4823169 | Ogura | Apr 1989 | A |
| 4836674 | Lequime et al. | Jun 1989 | A |
| 4844617 | Kelderman et al. | Jul 1989 | A |
| 4870267 | Beeckel | Sep 1989 | A |
| 4878485 | Adair | Nov 1989 | A |
| 4881811 | O'Brien | Nov 1989 | A |
| 4886355 | Keane | Dec 1989 | A |
| 4909633 | Okui | Mar 1990 | A |
| 4914512 | Sekiguchi | Apr 1990 | A |
| 4917500 | Lugos | Apr 1990 | A |
| 4957371 | Pellicori et al. | Sep 1990 | A |
| 4966458 | Burns et al. | Oct 1990 | A |
| 4986671 | Sun et al. | Jan 1991 | A |
| 4988206 | Melleney et al. | Jan 1991 | A |
| 5017772 | Hafle | May 1991 | A |
| 5028139 | Kramer et al. | Jul 1991 | A |
| 5040940 | Kolodziej et al. | Aug 1991 | A |
| 5095210 | Wheatley et al. | Mar 1992 | A |
| 5103085 | Zimmerman | Apr 1992 | A |
| 5131844 | Marinaccio et al. | Jul 1992 | A |
| 5139335 | Lundeen et al. | Aug 1992 | A |
| 5142383 | Mallik | Aug 1992 | A |
| 5149963 | Hassler, Jr. | Sep 1992 | A |
| 5159199 | LaBaw | Oct 1992 | A |
| 5164597 | Lodder | Nov 1992 | A |
| 5166755 | Gat | Nov 1992 | A |
| 5177694 | Graham | Jan 1993 | A |
| 5193525 | Silverstein | Mar 1993 | A |
| 5214274 | Yang | May 1993 | A |
| 5220177 | Harris | Jun 1993 | A |
| 5223917 | Richert | Jun 1993 | A |
| 5229841 | Taranowski et al. | Jul 1993 | A |
| 5245404 | Jannson et al. | Sep 1993 | A |
| 5270818 | Ottenstein | Dec 1993 | A |
| 5272518 | Vincent | Dec 1993 | A |
| 5273429 | Rekow | Dec 1993 | A |
| 5306144 | Hibst et al. | Apr 1994 | A |
| 5308771 | Zhou et al. | May 1994 | A |
| 5309256 | Takada et al. | May 1994 | A |
| 5309257 | Bonino | May 1994 | A |
| 5329935 | Takahashi | Jul 1994 | A |
| 5369261 | Shamir | Nov 1994 | A |
| 5369481 | Berg et al. | Nov 1994 | A |
| 5371586 | Chau | Dec 1994 | A |
| 5377669 | Schultz | Jan 1995 | A |
| 5383020 | Vieillefosse | Jan 1995 | A |
| 5386292 | Massen et al. | Jan 1995 | A |
| 5387977 | Berg et al. | Feb 1995 | A |
| 5392110 | Yojima et al. | Feb 1995 | A |
| 5401954 | Richert | Mar 1995 | A |
| 5401967 | Stedman et al. | Mar 1995 | A |
| 5404218 | Nave et al. | Apr 1995 | A |
| 5406305 | Shimomura | Apr 1995 | A |
| 5410410 | Yamazaki et al. | Apr 1995 | A |
| 5410413 | Sela | Apr 1995 | A |
| 5424720 | Kirkpatrick | Jun 1995 | A |
| 5428450 | Vieillefosse et al. | Jun 1995 | A |
| 5450193 | Carlsen et al. | Sep 1995 | A |
| 5450203 | Penkethman | Sep 1995 | A |
| 5450511 | Dragone | Sep 1995 | A |
| 5453838 | Danielian et al. | Sep 1995 | A |
| 5457525 | Ohtsuka et al. | Oct 1995 | A |
| 5461476 | Fournier | Oct 1995 | A |
| 5467289 | Abe et al. | Nov 1995 | A |
| 5469249 | Magyar, Jr. et al. | Nov 1995 | A |
| 5474449 | Loge et al. | Dec 1995 | A |
| 5477332 | Stone et al. | Dec 1995 | A |
| 5479252 | Worster et al. | Dec 1995 | A |
| 5483259 | Sachs | Jan 1996 | A |
| 5483335 | Tobias | Jan 1996 | A |
| 5487661 | Peithman | Jan 1996 | A |
| 5497227 | Takeuchi et al. | Mar 1996 | A |
| 5498157 | Hall | Mar 1996 | A |
| 5528266 | Arbeitman | Jun 1996 | A |
| 5533628 | Tao | Jul 1996 | A |
| 5543920 | Collins | Aug 1996 | A |
| 5560355 | Merchant et al. | Oct 1996 | A |
| 5565976 | Fleggen et al. | Oct 1996 | A |
| 5575284 | Athan et al. | Nov 1996 | A |
| 5583631 | Lazzerini | Dec 1996 | A |
| 5590251 | Takagi | Dec 1996 | A |
| 5592294 | Ota et al. | Jan 1997 | A |
| 5604594 | Juffinger | Feb 1997 | A |
| 5609978 | Giorgianni et al. | Mar 1997 | A |
| 5619936 | Veltmann | Apr 1997 | A |
| 5625459 | Driver | Apr 1997 | A |
| 5650940 | Tonozuka | Jul 1997 | A |
| 5663656 | Wilson | Sep 1997 | A |
| 5668633 | Cheetam et al. | Sep 1997 | A |
| 5671043 | Ivers | Sep 1997 | A |
| 5671735 | MacFarlane et al. | Sep 1997 | A |
| 5683243 | Andreiko et al. | Nov 1997 | A |
| 5684294 | Kouhi | Nov 1997 | A |
| 5684807 | Bianchini, Jr. | Nov 1997 | A |
| 5690486 | Zigelbaum | Nov 1997 | A |
| 5695949 | Galen et al. | Dec 1997 | A |
| 5696751 | Juffinger | Dec 1997 | A |
| 5701175 | Kostizak | Dec 1997 | A |
| 5715823 | Wood | Feb 1998 | A |
| 5742060 | Ashburn | Apr 1998 | A |
| 5745229 | Jung et al. | Apr 1998 | A |
| 5754283 | Keane et al. | May 1998 | A |
| 5757496 | Yamazaki | May 1998 | A |
| 5759030 | Jung et al. | Jun 1998 | A |
| 5760913 | Falk | Jun 1998 | A |
| 5766006 | Murljacic | Jun 1998 | A |
| 5768528 | Stumm | Jun 1998 | A |
| 5774610 | O'Rourke et al. | Jun 1998 | A |
| 5784507 | Holm-Kennedy et al. | Jul 1998 | A |
| 5798839 | Berner et al. | Aug 1998 | A |
| 5818044 | Sodickson | Oct 1998 | A |
| 5819119 | Imafuji et al. | Oct 1998 | A |
| 5822474 | Hara | Oct 1998 | A |
| 5828458 | Taylor et al. | Oct 1998 | A |
| 5845077 | Fawcett | Dec 1998 | A |
| 5850195 | Berlien, Jr. et al. | Dec 1998 | A |
| 5850301 | Mizuochi et al. | Dec 1998 | A |
| 5851113 | Jung et al. | Dec 1998 | A |
| 5864834 | Arai | Jan 1999 | A |
| 5871351 | Jung et al. | Feb 1999 | A |
| 5880826 | Jung et al. | Mar 1999 | A |
| 5883708 | Jung et al. | Mar 1999 | A |
| 5884156 | Gordon | Mar 1999 | A |
| 5889683 | Ismail | Mar 1999 | A |
| 5892585 | Lianza | Apr 1999 | A |
| 5900909 | Parulski | May 1999 | A |
| 5924981 | Rothfritz et al. | Jul 1999 | A |
| 5926262 | Jung et al. | Jul 1999 | A |
| 5946220 | Lemelson | Aug 1999 | A |
| 5952992 | Helms | Sep 1999 | A |
| 5961324 | Lehmann | Oct 1999 | A |
| 5961327 | Lohn | Oct 1999 | A |
| 5963332 | Feldman | Oct 1999 | A |
| 5966205 | Jung et al. | Oct 1999 | A |
| 5989022 | Yamamoto et al. | Nov 1999 | A |
| 5995235 | Sui et al. | Nov 1999 | A |
| 6002488 | Berg et al. | Dec 1999 | A |
| 6007332 | O'Brien | Dec 1999 | A |
| 6008905 | Breton et al. | Dec 1999 | A |
| 6030209 | Panzera et al. | Feb 2000 | A |
| 6031928 | Scott | Feb 2000 | A |
| 6037629 | Gardner | Mar 2000 | A |
| 6038016 | Jung et al. | Mar 2000 | A |
| 6038024 | Berner | Mar 2000 | A |
| 6040902 | Jung et al. | Mar 2000 | A |
| 6043445 | Gigliotti | Mar 2000 | A |
| 6043894 | Van Aken | Mar 2000 | A |
| 6052195 | Mestha et al. | Apr 2000 | A |
| 6057925 | Anthon | May 2000 | A |
| 6078398 | Feldman | Jun 2000 | A |
| 6086274 | Krzyminski | Jul 2000 | A |
| 6101265 | Bacaus et al. | Aug 2000 | A |
| 6111650 | Rawicz | Aug 2000 | A |
| 6118521 | Jung et al. | Sep 2000 | A |
| 6127673 | Jung et al. | Oct 2000 | A |
| 6130752 | Smith | Oct 2000 | A |
| 6163377 | Boles | Dec 2000 | A |
| 6188471 | Jung et al. | Feb 2001 | B1 |
| 6198862 | Nakajima | Mar 2001 | B1 |
| 6205716 | Peltz | Mar 2001 | B1 |
| 6212256 | Miesbauer et al. | Apr 2001 | B1 |
| 6222620 | Jung et al. | Apr 2001 | B1 |
| 6233047 | Jung et al. | May 2001 | B1 |
| 6239868 | Jung et al. | May 2001 | B1 |
| 6246471 | Jung et al. | Jun 2001 | B1 |
| 6246479 | Jung et al. | Jun 2001 | B1 |
| 6246862 | Grivas | Jun 2001 | B1 |
| 6249000 | Muramatsu | Jun 2001 | B1 |
| 6249339 | Jung et al. | Jun 2001 | B1 |
| 6249340 | Jung et al. | Jun 2001 | B1 |
| 6249348 | Jung et al. | Jun 2001 | B1 |
| 6249887 | Gray | Jun 2001 | B1 |
| 6254385 | Jung et al. | Jul 2001 | B1 |
| 6256668 | Slivka et al. | Jul 2001 | B1 |
| 6264470 | Jung et al. | Jul 2001 | B1 |
| 6271913 | Jung et al. | Aug 2001 | B1 |
| 6301004 | Jung et al. | Oct 2001 | B1 |
| 6307629 | Jung et al. | Oct 2001 | B1 |
| 6323487 | Wu | Nov 2001 | B1 |
| 6362888 | Jung et al. | Mar 2002 | B1 |
| 6373573 | Jung et al. | Apr 2002 | B1 |
| 6381017 | Jung et al. | Apr 2002 | B2 |
| 6414750 | Jung et al. | Jul 2002 | B2 |
| 6417917 | Jung et al. | Jul 2002 | B1 |
| 6449041 | Jung et al. | Sep 2002 | B1 |
| 6490038 | Jung et al. | Dec 2002 | B1 |
| 6501542 | Jung et al. | Dec 2002 | B2 |
| 6512577 | Ozanich | Jan 2003 | B1 |
| 6519037 | Jung et al. | Feb 2003 | B2 |
| 6538726 | Jung et al. | Mar 2003 | B2 |
| 6570654 | Jung et al. | May 2003 | B2 |
| 6573984 | Jung et al. | Jun 2003 | B2 |
| 6583866 | Jung et al. | Jun 2003 | B2 |
| 6590660 | Jung et al. | Jul 2003 | B2 |
| 6596981 | Aswell et al. | Jul 2003 | B1 |
| 6726476 | Jung et al. | Apr 2004 | B2 |
| 6750971 | Overbeck | Jun 2004 | B2 |
| 6836325 | Maczura | Dec 2004 | B2 |
| 6847447 | Ozanich | Jan 2005 | B2 |
| 6870616 | Jung et al. | Mar 2005 | B2 |
| 6888634 | Jung et al. | May 2005 | B2 |
| 6903813 | Jung et al. | Jun 2005 | B2 |
| 6915955 | Jung et al. | Jul 2005 | B2 |
| 6950189 | Jung et al. | Sep 2005 | B2 |
| 6958810 | Jung et al. | Oct 2005 | B2 |
| 7018204 | Jung et al. | Mar 2006 | B2 |
| 7069186 | Jung et al. | Jun 2006 | B2 |
| 7097450 | Jung et al. | Aug 2006 | B2 |
| 7099012 | Crawford | Aug 2006 | B1 |
| 7110096 | Jung et al. | Sep 2006 | B2 |
| 7113283 | Jung et al. | Sep 2006 | B2 |
| 7116408 | Jung et al. | Oct 2006 | B2 |
| 7119892 | Jung et al. | Oct 2006 | B2 |
| 7139068 | Jung et al. | Nov 2006 | B2 |
| 7240839 | Jung et al. | Jul 2007 | B2 |
| 7244122 | Jung et al. | Jul 2007 | B2 |
| 7580130 | Shannon | Aug 2009 | B2 |
| 7768645 | Roman | Aug 2010 | B2 |
| 7957762 | Herz | Jun 2011 | B2 |
| 8008613 | Tam | Aug 2011 | B2 |
| Number | Date | Country |
|---|---|---|
| 2256355 | Dec 1973 | DE |
| 3038786 | Apr 1982 | DE |
| 9012977 | Mar 1991 | DE |
| 0167750 | Jan 1986 | EP |
| 0263016 | Jun 1988 | EP |
| 0266682 | Nov 1988 | EP |
| 0681256 | Nov 1995 | EP |
| 2669526 | May 1992 | FR |
| 2115175 | Jan 1983 | GB |
| 2135074 | Aug 1984 | GB |
| 2269012 | Jul 1993 | GB |
| 5011774 | Jul 1987 | JO |
| 54103055 | Aug 1979 | JP |
| 01262428 | Oct 1989 | JP |
| 02066429 | Mar 1990 | JP |
| 02236127 | Sep 1990 | JP |
| 03296626 | Dec 1991 | JP |
| 04045776 | Jul 1992 | JP |
| 04295328 | Oct 1992 | JP |
| 07294425 | Nov 1995 | JP |
| 8603292 | Jun 1986 | WO |
| 95 17663 | Jun 1995 | WO |
| Entry |
|---|
| Aswell, Cecil J. et al., “A Monolithic Light-to-Frequency Converter with a Scalable Sensor Array”, IEEE, 1994, pp. 122-123 and 158-159. |
| Bangtson et al.; “The conversion of Chromascan designations to CIE tristimilus values”; Nov. 1982; pp. 610-617 vol. 48 No. 5, Journal of Prosthetic Dentistry. |
| Barghi et al.; “Effects of batch variation on shade of dental porcelain”; Nov. 1985; pp. 625-627, vol. 54 No. 5, Journal of Prosthetic Dentistry. |
| Billmeyer & Saltman, “Principles of color technology,” pp. 79-80, Second Ed. 1981. |
| Correria, Jose Higino, et al., “A CMOS Optical Microspectrometer with Light-to-Frequency Converter, Bus Interface, and Stray-Light Compensation,” EEE Transactions on Instrumentation and Measurement, vol. 50, No. 6, Dec. 2001, pp. 1530-1537. |
| Council on Dental Materials, Instruments, and Equipment; “How to improve shade matching in the dental operatory”; Feb. 1981; pp. 209-210, vol. 102; JADA. |
| Davison et al.; “Shade selection by color vision-defective dental personnel”; Jan. 1990; pp. 97-101 vol. 63 No. 1, Journal of Prosthetic Dentistry. |
| de Graaf, G., et al., “On-Chip Integrated CMOS Optical Microspectrometer with Light-to-Frequency Converter and Bus Interface,” 1999 IEEE International Solid-State Circuits Conference, 10 pages, 1999. |
| Demro, James C., R. Hartshome, P.A. Levine, L.M. Woody, “Design of Multispectral, Wedge Filter, Remote-Sensing Instrument incorporating a multi-port, thinned, CCD area array” SPIE vol. 2480 p. 280. |
| Dickerson; “Trilogy of Creating an Esthetic Smile”; Jul. 1996; pp. 1-7, vol. 1, Issue 3; Technical Update-A Publication of Micro Dental Laboratories. |
| Elerding, George T. John G. Thunen, Loren M. Woody “Wedge Imaging Spectrometer: Application to drug and pollution law enforcement” SPIE vol. 1479 Surveillance Technologies, p. 380 (1991). |
| Goldstein et al.; “Repeatability of a specially designed intraoral colorimeter”; Jun. 1993; pp. 616-619, vol. 69 No. 6, Journal of Prosthetic Dentistry. |
| Goodkind et al.: “A comparison of Chromascan and spectrophotometric color measurement of 100 natural teeth”; Jan. 1985; pp. 105-109, vol. 53 No. 1, Journal of Prosthetic Dentistry. |
| Ishikawa et al.; “Trial Manufacture of Photoelectric Colorimeter Using Optical Fibers”; Nov. 1969; pp. 191-197, vol. 10, No. 4, Bull. Tokyo dent. Coll. |
| Johnston et al.; “The Color Accuracy of the Kubelka-Munk Theory for Various Colorants in Maxillofacial Prosthetic Material”; Sep. 1987; pp. 1438-1444, vol. 66, No. 9; J. Dent. Res. |
| Johnston et al.; “Assessment of Appearance Match by Visual Observation and Clinical Colorimetry”; May 1989; pp. 819-822, vol. 68, No. 5; J. Dent. Res. |
| Kato et al; “The Current State of Porcelain Shades: A Discussion”; Oct. 1984; pp. 559-571. vol. 8, No. 9; Quintessence of Dental Technology. |
| Mika, Aram M., “Linear-Wedge Spectrometer” SPIE vol. 1298 Imaging Spectroscopy of the Terrestrial Environment , p. 127 (1990). |
| Miller; “Organizing color in dentistry”; Dec. 1987; pp. 26E-40E, Special Issue; JADA. |
| Miller et al; “Shade selection and laboratory communication”; May 1993; pp. 305-309, vol. 24, No. 5; Quintessence International. |
| O'Brien et al.; “Coverage Errors of Two Shade Guides”; Jan./Feb. 1991; pp. 45-50, vol. 4, No. 1; The International Journal of Prosthodontics. |
| O'Brien et al.; “A New, Small-color-difference Equation for Dental Shades”; Nov. 1990; pp. 1762-1764, vol. 69, No. 11; J. Dent. Res. |
| O'Keefe et al.; “Color Shade and Matching: The Weak Link in Esthetic Dentistry”; Feb. 1990; pp. 116-120, vol. XI, No. 2, Compend Contin Educ Dent. |
| Pensler, “A New Approach to Shade Selection”; Sep. 1991; pp. 668-675, vol. XII, No. 9, Compend Contin Educ Dent. |
| Preston et al.; “Light and Lighting in the Dental Office”; Jul. 1978; pp. 431-451, vol. 22, No. 3; Dental Clinics of North America. |
| Preston; “Current status of shade selection and color matching”; Jan. 1985; pp. 47-58, vol. 16, No. 1; Quintessence International. |
| Rosenstiel et al.; “The effects of manipulative variables on the color of ceramic metal restorations”; Sep. 1987; pp. 297-303, vol. 60 No. 3, Journal of Prosthetic Dentistry. |
| Rugh et al.; “The Relationship Between Elastomer Opacity, Colorimeter Beam Size, and Measured Colorimetric Response”; Nov./Dec. 1991; pp. 569-576, vol. 4, No. 6; The International Journal of Prosthodontics. |
| Ryther et al.; “Colormetric Evaluation of Shade Guide Variability”; 1993; p. 215; J. Dent. Res. 72 (I ADR Abstracts) Special Issue. |
| Schwabacher et al.; “Three-dimensional color coordinates of natural teeth compared with three shade guides”; Oct. 1990; pp. 425-431, vol. 64 No. 4, Journal of Prosthetic Dentistry. |
| Seghi et al.; “Spectrophotometric analysis of color differences between porcelain systems”; Jul. 1986; pp. 35-40, vol. 56 No. 1, Journal of Prosthetic Dentistry. |
| Seghi et al.; “Visual and Instrumental Colorimetric Assessments of Small Color Differences on Translucent Dental Porcelain”; Dec. 1989; pp. 1760-1764, vol. 68, No. 12; J. Dent. Res. |
| Seghi et al.; “Performance Assessment of Colorimetric Devices on Dental Porcelains”; Dec. 1989; pp. 1755-1759, vol. 69, No. 11; J. Dent. Res. |
| Seghi; “Effects of Instrument-measuring Geometry on Colorimetric Assessments of Dental Porcelains”; May 1990; pp. 1180-1183, vol. 69, No. 5; J. Dent. Res. |
| Sorensen et al.; “Improved color matching of metal-ceramic restorations. Part I: A systematic method for shade determination”; Aug. 1987; pp. 133-139, vol. 58, No. 2, Journal of Prosthetic Dentistry. |
| Sorensen et al.; “Improved color matching of metal-ceramic restorations. Part II: Procedures for visual communication”; Dec. 1987; pp. 669-677, vol. 58, No. 6, Journal of Prosthetic Dentistry. |
| Sproul; “Color matching in dentistry. Part 1. The three-dimensional nature of color”; Apr. 1973; pp. 416-424, vol. 29, No. 4; J. Prosthet. Dent. |
| Sproul; “Color matching in dentistry. Part 1. Color control”; Feb. 1974; pp. 146-154, vol. 31, No. 2; J. Prosthet. Dent. |
| Sproul; “Color matching in dentistry. Part 2. Practical applications of the organization of color”; May 1973; pp. 556-566, vol. 29, No. 5; J. Prosthet. Dent. |
| Swift et al.; “Colormetric Evaluation of Vita Shade Resin Composites”; 1994; pp. 356-361, vol. 7, No. 4; The International Journal of Prosthodontics. |
| van der Burgt et al.; “A comparison of new and conventional methods for quantification of tooth color”; Feb. 1990; pp. 155-162, vol. 63 No. 2, Journal of Prosthetic Dentistry. |
| Slaughter, et al., “Nondestruction Determination of Soluble Solids in Tomatoes using Near Infrared Spectroscopy”, 1996, pp. 695-697. |
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