Image processing device, image processing method, and image processing program

Abstract

The image processing device performs: a process for deriving an intensity distribution of illumination from first image data of a colorimetric chart portion in a captured image captured in a state in which a chromophoric member and a colorimetric chart overlap each other; the color generating member generates a color in a concentration distribution corresponding to the amount of energy applied and generates a color in a specific color in which the difference in spectral reflectance with respect to the respective wavelengths of a plurality of colors is within a certain range, and the colorimetric chart is a colorimetric chart for colors in which the difference is outside the certain range; and performing shading correction on the second image data of the chromophoric member portion in the captured image according to the intensity distribution of the illumination.

Description

Technical Field

[0001] This invention relates to an image processing apparatus, an image processing method, and an image processing program. Background Technology

[0002] Previously, a technique was known to measure the amount of energy using a color-emitting component that emits color based on the amount of applied energy. For example, one such color-emitting component is Prescale (pressure-sensitive paper) (registered trademark) (manufactured by FUJIFILM Corporation), which emits color based on applied pressure.

[0003] Japanese Patent Application Publication No. 2017-203653 discloses a technique for shading correction of photographic images using concentric color charts in the imaging of pressure measuring membranes. Summary of the Invention

[0004] -The technical problem that the invention aims to solve-

[0005] In the technology described in Japanese Patent Application Publication No. 2017-203653, concentric color charts are used to generate parameters for shading correction as a pre-calibration process. That is, if the photographic conditions in the pre-calibration deviate from the photographic conditions in the image capture of the pressure measuring membrane, high-precision shading correction cannot be performed.

[0006] Therefore, it is considered to take pictures with the color-generating component and the correction component such as the color chart overlapping. However, the technology described in Japanese Patent Application Publication No. 2017-203653 does not take into account shadow correction of the photographic image obtained by taking pictures with the color-generating component and the correction component overlapping.

[0007] The present invention was made in view of the above circumstances, and its object is to provide an image processing apparatus, image processing method and image processing program capable of performing high-precision shadow correction on photographic images obtained by taking pictures in a state where the color-generating component and the correction component overlap.

[0008] -Means used to solve technical problems-

[0009] The image processing apparatus of the first method includes at least one processor, which performs the following processing:

[0010] A photographic image is obtained by taking a picture in a state where a color-emitting component and multiple color charts are superimposed. The color-emitting component emits color with a concentration distribution corresponding to the amount of applied energy and emits a specific color that is different from multiple colors that are within a certain range of spectral reflectance differences relative to the wavelengths of each of the multiple colors. The multiple color charts are color charts of colors whose differences are outside the aforementioned certain range and are configured in a predetermined distribution state.

[0011] The intensity distribution of illumination is derived from the first image data in the colorimetric chart portion of the photographic image; and

[0012] Shadow correction is performed on the second image data of the color-producing part in the photographic image based on the intensity distribution.

[0013] In the image processing apparatus of the second method, the processor uses the second image data after shading correction to derive the distribution of the amount of energy applied to the color-producing component.

[0014] In the image processing apparatus of the third method, the specific color is gray, as in the image processing apparatus of the first or second method.

[0015] In the image processing apparatus of the fourth method, the distribution state of the colorimetric chart includes the arrangement position of the colorimetric chart and the area ratio of the colorimetric chart portion to the color-producing component portion in a partial image of the photographic image.

[0016] The fifth image processing method is performed by a processor provided by an image processing device as follows: acquiring a photographic image obtained by taking a picture in a state where a color-emitting component and multiple color charts are superimposed, wherein the color-emitting component emits color with a concentration distribution corresponding to the amount of applied energy and emits a specific color that is different from multiple colors whose spectral reflectance differences relative to the wavelengths of each of the multiple colors are within a certain range, and the multiple color charts are color charts of colors whose differences are outside the aforementioned certain range and are arranged in a predetermined distribution state;

[0017] The intensity distribution of illumination is derived from the first image data in the colorimetric chart portion of the photographic image; and

[0018] Shadow correction is performed on the second image data of the color-producing part in the photographic image based on the intensity distribution.

[0019] The image processing program of the sixth method causes the processor of the image processing device to perform the following processing: acquiring a photographic image obtained by taking a picture in a state where a color-producing component and multiple color charts are superimposed, wherein the color-producing component emits color with a concentration distribution corresponding to the amount of applied energy and emits a specific color that is different from multiple colors whose spectral reflectance differences with respect to the wavelengths of each of the multiple colors are within a certain range, and the multiple color charts are color charts of colors whose differences are outside the aforementioned certain range and are arranged in a predetermined distribution state;

[0020] The intensity distribution of illumination is derived from the first image data in the colorimetric chart portion of the photographic image; and

[0021] Shadow correction is performed on the second image data of the color-producing part in the photographic image based on the intensity distribution.

[0022] -Invention Effects-

[0023] According to the present invention, high-precision shadow correction can be performed on photographic images obtained by taking pictures in a state where the color-generating component and the correction component are overlapping. Attached Figure Description

[0024] Figure 1 This is a block diagram illustrating an example of the general structure of a pressure measurement system.

[0025] Figure 2 This is an example diagram showing a component with colored hair.

[0026] Figure 3 This is a block diagram illustrating an example of the hardware structure of an image processing device.

[0027] Figure 4 This is a graph representing an example of feature data.

[0028] Figure 5 This is a diagram showing an example of a sheet-like component that forms a colorimetric chart.

[0029] Figure 6 This is an example diagram showing the overlap between the color-producing component and the colorimetric chart.

[0030] Figure 7 It is a diagram used to illustrate the size of a colorimetric chart.

[0031] Figure 8 This is a block diagram illustrating an example of the functional structure of an image processing device.

[0032] Figure 9 This is a flowchart illustrating an example of a pressure measurement process. Detailed Implementation

[0033] Hereinafter, examples of embodiments for carrying out the technology of the present invention will be described in detail with reference to the accompanying drawings. In this embodiment, an example in which pressure is applied as energy to the object to be pressurized will be described. Examples of objects to be pressurized include plate-shaped metal and semiconductor wafers.

[0034] First, refer to Figure 1 The structure of the pressure measuring system 1 according to this embodiment will be described. For example... Figure 1 As shown, the pressure measurement system 1 includes an image processing device 10. Examples of the image processing device 10 include portable computers such as smartphones or tablets. Alternatively, the image processing device 10 can also be a desktop computer.

[0035] like Figure 2 As shown, the pressure measuring system 1 uses a color-emitting component 90 that emits color at a concentration distribution corresponding to the amount of energy applied when energy (pressure in this embodiment) is applied to measure the amount of energy. Figure 2 In the example, the part filled with a diagonal line represents the part with color. Specifically, the image processing device 10 uses the camera 40 (reference 40). Figure 3 The color-emitting component 90 is photographed in a state where it is colored by applying energy, and the amount of energy applied to the color-emitting component 90 is derived from the image obtained by photographing.

[0036] As the color-developing component 90, for example, Prescale (registered trademark) (manufactured by FUJIFILM Corporation) can be used to obtain a color concentration corresponding to the applied pressure. Prescale is a substance containing a color-developing agent with microcapsules containing a colorless dye, and the color-developing agent is coated on a sheet-like support. When pressure is applied to Prescale, the microcapsules are broken, and the colorless dye is adsorbed onto the color-developing agent, thus developing color. Furthermore, the color-developing agent contains various microcapsules of different sizes and strengths; therefore, the color concentration varies depending on the amount of microcapsules broken by the applied pressure. Therefore, by observing the color concentration, the magnitude and pressure distribution of the pressure applied to Prescale can be determined.

[0037] Regarding the color-emitting component 90 according to this embodiment, when energy is applied, it emits a specific color (hereinafter referred to as "specific color") that is different from the multiple colors and whose spectral reflectance differs from the wavelengths of the various colors within a certain range. Specifically, the color-emitting component 90 emits a specific color with a fixed spectral reflectance relative to the wavelengths of the three primary colors of light: red, green, and blue. Gray can be cited as an example of this specific color. That is, with respect to the color-emitting component 90, the portion without applied energy is white, and the portion with applied energy has a lower density value in the image as the amount of energy increases, becoming a color close to black. Furthermore, "constant spectral reflectance relative to the wavelengths of the various colors" means that the difference in spectral reflectance relative to the wavelengths of the various colors can be within a certain range, including permissible errors.

[0038] Next, refer to Figure 3 The hardware structure of the image processing apparatus 10 according to this embodiment will be described. For example... Figure 3As shown, the image processing apparatus 10 includes a CPU (Central Processing Unit) 20, a memory 21 serving as a temporary storage area, and a non-volatile storage unit 22. Furthermore, the image processing apparatus 10 includes a display 23 such as a liquid crystal display, an input device 24 such as a touch panel, a network I / F (Interface) 25 connected to a network, and a camera 40. The CPU 20, memory 21, storage unit 22, display 23, input device 24, network I / F 25, and camera 40 are connected to a bus 27. The CPU 20 is an example of a processor according to the technology of this invention.

[0039] The storage unit 22 is implemented using HDD (Hard Disk Drive), SSD (Solid State Drive), or flash memory. The image processing program 30 is stored in the storage unit 22, which serves as the storage medium. After the CPU 20 reads the image processing program 30 from the storage unit 22, it loads it into the memory 21 and executes the loaded image processing program 30.

[0040] Furthermore, feature data 32 is stored in the storage unit 22. Figure 4 An example of feature data 32 is shown. Feature data 32 is data that predefines the relationship between the amount of energy applied to the color-developing component 90 and the concentration value of the color-developing component 90 contained in an image obtained by photographing the color-developing component 90. The amount of energy is, for example, a physical quantity corresponding to the energy that can be measured using the color-developing component 90, such as a pressure value that can be appropriately applied. Furthermore, in Figure 4 In this context, pressure values ​​are proportional to concentration values, but the relationship between pressure values ​​and concentration values ​​is not necessarily limited to a proportional relationship.

[0041] Camera 40 is equipped with an image sensor such as a CCD (Charge Coupled Device) image sensor or a CMOS (Complementary Metal Oxide Semiconductor) image sensor. Camera 40 captures images of the color-emitting component 90 and outputs the captured image to CPU 20. Alternatively, a scanner can be used instead of camera 40. That is, the image capture process described here also includes scanner-based reading.

[0042] In the pressure measuring system 1 according to this embodiment, the following is used: Figure 5 The sheet-like component 92 is shown. The sheet-like component 92 is, for example, a transparent sheet with a spectral transmittance infinitely close to 100%. As an example, such as... Figure 5As shown, multiple colorimetric charts 94 are formed on the sheet-like component 92 for colors whose spectral reflectance differences relative to the wavelengths of the aforementioned colors fall outside the aforementioned certain range. In this embodiment, the red with the highest concentration, for example at a gray level of 256, is used as the colorimetric chart 94 for a red with a gray level of 255. Furthermore, in... Figure 5 In the example, a rectangle is shown as the shape of the colorimetric chart 94, but the shape of the colorimetric chart 94 is not limited to a rectangle.

[0043] And, as Figure 6 As shown, in this embodiment, when the image processing apparatus 10 uses the camera 40 to photograph the color-producing component 90, the sheet-like component 92 overlaps on the color-producing component 90. The camera 40 photographs the color-producing component 90 while it overlaps with multiple color charts 94, and outputs the image obtained by the photograph (hereinafter referred to as "photographic image") to the CPU 20.

[0044] Furthermore, multiple colorimetric charts 94 are configured in a prescribed distribution pattern. This distribution pattern includes the placement of the colorimetric charts 94. Specifically, as... Figure 5 As shown, colorimetric charts 94 are arranged at equal intervals along one side of the rectangular sheet member 92 and along the side orthogonal to that side. Since the intervals are known, the arrangement positions of the colorimetric charts 94 are also known. Furthermore, the arrangement positions of the colorimetric charts 94 only need to be known; the intervals between adjacent colorimetric charts 94 are not limited to equal intervals.

[0045] Furthermore, the distribution of the multiple colorimetric charts 94 includes the area ratio of the colorimetric chart 94 portion to the color-producing component 90 portion in a local image of the photographic image. The local image involved in this embodiment is an image representing one pixel of the photographic image. For example... Figure 7 As shown, the area of ​​the colorimetric chart 94 in the photographic image involved in this embodiment is smaller than the area of ​​a local image of a quantity of one pixel corresponding to the resolution of the photographic image. In this embodiment, the areas of the colorimetric chart 94 portion and the color-producing component 90 portion in the local image of a quantity of one pixel are known, for example, as shown in the following formula (1).

[0046] Colorimetric chart 94 part: Color-producing part 90 part = s: 1-s……(1)

[0047] Furthermore, if the area ratio of the colorimetric chart 94 portion to the color-producing component 90 portion in a partial image of the photographic image is known, then the area of ​​the colorimetric chart 94 is not limited to... Figure 7 The example shown. For instance, the area of ​​color chart 94 can be an area equivalent to one pixel of a photographic image. In this case, the local image can be an image of multiple pixels, such as 3×3 pixels centered on a portion of color chart 94.

[0048] Next, refer to Figure 8 The functional structure of the image processing apparatus 10 according to this embodiment will be described. For example... Figure 8 As shown, the image processing apparatus 10 includes a camera control unit 50, an acquisition unit 52, a first export unit 54, a correction unit 56, and a second export unit 58. It functions as the camera control unit 50, acquisition unit 52, first export unit 54, correction unit 56, and second export unit 58 by executing the image processing program 30 via the CPU 20.

[0049] The user inputs a photography command via the input device 24 while the sheet-like component 92 is superimposed on the color-generating component 90. If the user inputs a photography command, the photography control unit 50 controls the camera 40 to capture a photographic image while the color-generating component 90 and the sheet-like component 92 are superimposed.

[0050] The acquisition unit 52 acquires photographic images obtained by taking pictures in a state where the color-generating component 90 overlaps with multiple color charts 94 formed on the sheet-like component 92, under the control of the photography control unit 50.

[0051] The first export unit 54 exports the intensity distribution of illumination based on the first image data of the color chart 94 portion of the photographic image acquired by the acquisition unit 52. The details of the export process of the intensity distribution of illumination based on the first export unit 54 will be described below. Here, each pixel of the photographic image has a pixel value for the colors red, green, and blue.

[0052] If the theoretical values ​​of each color in part 94 of the colorimetric chart are set as Rm for red, Gm for green, and Bm for blue, then the measured values ​​of each color in part 94 of the colorimetric chart in the photographic image are affected by the illumination, and are therefore represented by the following equations (2) to (4). In equations (2) to (4), illk(x,y) represents the intensity distribution of the illumination when the photographic image is taken, x for example represents the horizontal pixel position with the upper left of the photographic image as the origin, and y for example represents the vertical pixel position with the upper left of the photographic image as the origin.

[0053] illk(x,y)×Rm......(2)

[0054] illk(x,y)×Gm......(3)

[0055] illk(x,y)×Bm......(4)

[0056] If the theoretical values ​​of each color of the color-producing component 90 are set as red Rp, green Gp and blue Bp, then the measured values ​​of each color of the color-producing component 90 in the photographic image are affected by the illumination, and are therefore expressed by the following formulas (5) to (7).

[0057] illk(x,y)×Rp......(5)

[0058] illk(x,y)×Gp......(6)

[0059] illk(x,y)×Bp......(7)

[0060] According to the above equations (1) to (7), the first image data of the color chart 94 portion in the photographic image, namely the pixel values ​​Ri(x,y), Gi(x,y) and Bi(x,y) of each color of the pixel containing the color chart 94 in the photographic image, are represented by the following equations (8) to (10). As shown in equations (8) to (10), the pixel values ​​Ri(x,y), Gi(x,y) and Bi(x,y) are obtained by multiplying the measured values ​​of the color chart 94 portion and the measured values ​​of the color-emitting component 90 portion in the pixel by the area ratio shown in equation (1) and then performing an addition operation.

[0061] Ri(x,y)=s×illk(x,y)×Rm+(1-s)×illk(x,y)×Rp……(8)

[0062] Gi(x,y)=s×illk(x,y)×Gm+(1-s)×illk(x,y)×Gp……(9)

[0063] Bi(x,y)=s×illk(x,y)×Bm+(1-s)×illk(x,y)×Bp……(10)

[0064] According to equations (8) and (9), the difference between Ri(x,y) and Gi(x,y) is expressed by the following equation (11).

[0065] Ri(x,y)-Gi(x,y)={s×illk(x,y)×Rm+(1-s)×illk(x,y)×Rp}-{s×illk(x,y) ×Gm+(1-s)×illk(x,y)×Gp}=illk(x,y)×{s×(Rm-Gm)+(1-s)×(Rp-Gp)}......(11)

[0066] As described above, the color-emitting component 90 emits a specific color with a constant spectral reflectance relative to the wavelengths of red, green, and blue light, so Rp and Gp are equal. Therefore, (Rp-Gp) in equation (11) becomes 0, and the intensity distribution of illumination illk(x,y) is represented by the following equation (12).

[0067] illk(x,y)=((Ri(x,y)-Gi(x,y))÷(s×(Rm-Gm))……(12)

[0068] As described above, s is known. Furthermore, Rm and Gm are known, for example, by taking a photographic image by placing a reference mark image on the outside of the color-emitting component 90. Therefore, the first derivation unit 54 can derive the intensity distribution of illumination illk(x,y) according to Equation (12) based on the first image data of the color chart 94 portion in the photographic image.

[0069] The correction unit 56 performs shadow correction on the second image data of the color-producing component 90 portion in the photographic image acquired by the acquisition unit 52 based on the intensity distribution of illumination derived by the first extraction unit 54. The details of the shadow correction based on the correction unit 56 will be described below.

[0070] illk(x,y) is proportional to Ri(x,y)-Gi(x,y), so equation (12) can be expressed as in equation (13).

[0071] D(x,y)=Ri(x,y)-Gi(x,y)……(13)

[0072] The correction unit 56 derives the in-plane average value Dave of D(x,y). Next, the correction unit 56 derives Ds(x,y) according to the following equation (14). Ds(x,y) represents the surface distribution of the deviation of D(x,y) from the average value when the average value is set to 1.

[0073] Ds(x,y)=D(x,y)÷Dave......(14)

[0074] Next, the correction unit 56 derives the correction parameters SH(x,y) for shadow correction according to the following formula (15).

[0075] SH(x,y)=1÷Ds(x,y)……(15)

[0076] Then, the correction unit 56 performs shadow correction by multiplying the correction parameter SH(x,y) by the second image data according to the following formulas (16) to (18). In formulas (16) to (18), Rs(x,y), Gs(x,y) and Bs(x,y) represent the pixel values ​​of each color of the second image data after shadow correction.

[0077] Rs(x,y)=R(x,y)×SH(x,y)……(16)

[0078] Gs(x,y)=G(x,y)×SH(x,y)……(17)

[0079] Bs(x,y)=B(x,y)×SH(x,y)……(18)

[0080] The second export unit 58 uses feature data 32 and the second image data after shadow correction performed by the correction unit 56 to export the pressure distribution applied to the color-generating component 90. Specifically, the second export unit 58 uses feature data 32 to convert the density of each pixel of the shadow-corrected second image data into a pressure value to export the pressure distribution.

[0081] Furthermore, for pixels containing the colorimetric chart 94, the second export unit 58 can export the pressure value applied to the color-emitting component 90 using feature data prepared considering the concentration of the colorimetric chart 94 and the aforementioned area ratio, in addition to feature data 32. Moreover, for pixels containing the colorimetric chart 94, the second export unit 58 can export the pressure value by interpolating using a known interpolation algorithm that uses 8 neighboring pixels. When performing interpolation, the second export unit 58 can use the pressure value, or it can interpolate using pixel values ​​and then convert them to a pressure value using feature data 32.

[0082] Next, refer to Figure 9 The operation of the image processing apparatus 10 according to this embodiment will be explained. The image processing program 30 is executed by the CPU 20. Figure 9 The pressure measurement process is shown. For example, in the case where a photography command is input by the user through input device 24, etc., it is executed. Figure 9 The pressure measurement process is shown.

[0083] exist Figure 9 In step S10, the photography control unit 50 controls the camera 40 to capture a photographic image in a state where the color-producing component 90 overlaps with the sheet-like component 92. In step S12, the acquisition unit 52 acquires a photographic image obtained by capturing an image in a state where the color-producing component 90 overlaps with multiple color charts 94 formed on the sheet-like component 92, based on the control in step S10.

[0084] In step S14, as described above, the first export unit 54 exports the intensity distribution of illumination based on the first image data of the color chart 94 portion of the photographic image acquired in step S12. In step S16, as described above, the correction unit 56 performs shadow correction on the second image data of the color-producing component 90 portion of the photographic image acquired in step S12 based on the intensity distribution of illumination exported in step S14.

[0085] In step S18, as described above, the second export unit 58 uses feature data 32 and second image data after shading correction based on step S16 to export the pressure distribution applied to the color-emitting component 90. If the processing in step S18 is completed, the pressure measurement process ends.

[0086] As explained above, according to this embodiment, high-precision shadow correction can be performed on photographic images obtained by taking pictures in a state where the color-generating component and the correction component overlap.

[0087] Furthermore, while the above embodiments described the application of pressure as energy to the object, the technology of the present invention is not limited to this method. For example, heat or ultraviolet light can also be used as energy to be applied to the object. When heat is used as energy to be applied to the object, THERMOSCALE (trade name) (manufactured by FUJIFILM Corporation), which colors based on heat, can be used as the color-developing component 90. And when ultraviolet light is used as energy to be applied to the object, UV SCALE (trade name) (manufactured by FUJIFILM Corporation), which colors based on the amount of ultraviolet light, can be used as the color-developing component 90.

[0088] Furthermore, in the above embodiments, for example, as the hardware structure of a processing unit that performs various processes as the various functional units of the image processing apparatus 10, various processors as shown below can be used. As described above, in addition to the general-purpose processor, i.e., the CPU, which executes software (program) and functions as various processing units, the various processors mentioned above also include processors such as FPGAs (Field Programmable Gate Arrays) whose circuit structure can be changed after manufacturing, i.e., programmable logic devices (PLDs), and processors such as ASICs (Application Specific Integrated Circuits) that have specially designed circuit structures for performing specific processes, i.e., dedicated circuits.

[0089] A processing unit can consist of one of these various processors, or it can consist of a combination of two or more processors of the same or different types (e.g., a combination of multiple FPGAs or a combination of a CPU and an FPGA). Furthermore, multiple processing units can also be composed of a single processor.

[0090] As examples of a single processor comprising multiple processing units, firstly, as exemplified by client and server computers, a single processor is constructed from a combination of one or more CPUs and software, functioning as multiple processing units. Secondly, as exemplified by System-on-Chip (SoC), a processor is used to implement the overall system functionality comprising multiple processing units using a single integrated circuit (IC) chip. Thus, various processing units are constructed as hardware structures using one or more of the aforementioned processors.

[0091] Furthermore, the hardware architecture of these various processors, more specifically, enables the use of circuits composed of semiconductor elements and other circuitry.

[0092] Furthermore, while the above embodiment describes the image processing program 30 being pre-stored (installed) in the storage unit 22, it is not a limitation. The image processing program 30 may also be provided on a recording medium such as a CD-ROM (Compact Disc Read Only Memory), DVD-ROM (Digital Versatile Disc Read Only Memory), or USB (Universal Serial Bus) memory. Additionally, the image processing program 30 may be downloaded from an external device via a network.

[0093] The entire contents of Japanese Patent Application No. 2023-146444, filed on September 8, 2023, are incorporated herein by reference. Furthermore, all documents, patent applications, and technical standards described in this specification are incorporated herein by reference to the same extent that each document, patent application, and technical standard is specifically and separately described and incorporated herein by reference.

Claims

1. An image processing apparatus comprising at least one processor, said processor performing the following processing: A photographic image is obtained by taking a picture while a color-producing component and multiple color charts are overlapping. The color-producing component produces color with a concentration distribution corresponding to the amount of applied energy and produces a specific color. The specific color is a color that is different from the multiple colors, and the difference in spectral reflectance relative to the wavelengths of the respective colors is within a certain range. The multiple color charts are color charts of colors whose difference is outside the certain range and are configured in a predetermined distribution state. The intensity distribution of illumination is derived from the first image data of the colorimetric chart portion of the photographic image; and Shadow correction is performed on the second image data of the color-producing component portion in the photographic image based on the intensity distribution.

2. The image processing apparatus according to claim 1, wherein, The processor uses the second image data after the shadow correction to derive the distribution of the amount of energy applied to the color-producing component.

3. The image processing apparatus according to claim 1 or 2, wherein, The specific color is gray.

4. The image processing apparatus according to claim 1 or 2, wherein, The distribution state includes the configuration position of the colorimetric chart and the area ratio of the colorimetric chart portion to the color-producing component portion in a partial image of the photographic image.

5. An image processing method, wherein a processor of an image processing device performs the following processing: A photographic image is obtained by taking a picture while a color-producing component and multiple color charts are overlapping. The color-producing component produces color with a concentration distribution corresponding to the amount of applied energy and produces a specific color. The specific color is a color that is different from the multiple colors, and the difference in spectral reflectance relative to the wavelengths of the respective colors is within a certain range. The multiple color charts are color charts of colors whose difference is outside the certain range and are configured in a predetermined distribution state. The intensity distribution of illumination is derived from the first image data of the colorimetric chart portion of the photographic image; and Shadow correction is performed on the second image data of the color-producing component portion in the photographic image based on the intensity distribution.

6. An image processing program for causing a processor in an image processing apparatus to perform the following processing: A photographic image is obtained by taking a picture while a color-producing component and multiple color charts are overlapping. The color-producing component produces color with a concentration distribution corresponding to the amount of applied energy and produces a specific color. The specific color is a color that is different from the multiple colors, and the difference in spectral reflectance relative to the wavelengths of the respective colors is within a certain range. The multiple color charts are color charts of colors whose difference is outside the certain range and are configured in a predetermined distribution state. The intensity distribution of illumination is derived from the first image data of the colorimetric chart portion of the photographic image; and Shadow correction is performed on the second image data of the color-producing component portion in the photographic image based on the intensity distribution.

Images