JP2021072541A - Image processing device, image processing method, and program - Google Patents

Abstract

To provide processing for evaluating the color of a real object on the basis of a captured image of an object.SOLUTION: An image processing device comprises: acquisition means which acquires captured image data obtained by imaging an object; generation means which generates display image data by converting a first color signal value of each pixel included in a captured image expressed by the captured image data to a second color signal value corresponding to the characteristic of display means; calculation means which calculates the evaluation value of a color corresponding to a plurality of regions designated by a user in a display image expressed by the display image data; and display control means which displays the regions and the evaluation value on the display means in association with each other.SELECTED DRAWING: Figure 10

Description

The present invention relates to an image processing technique for evaluating the color of an object.

Conventionally, there is known a technique for evaluating the color of a region designated by a user in an image. Patent Document 1 discloses a technique of displaying how a color of a designated area in an image is expressed by using a printer with a 3D object in a color space.

Japanese Unexamined Patent Publication No. 2005-176204

However, Patent Document 1 has a problem that it is not possible to evaluate what kind of color the actual color is when the target image is an captured image obtained by imaging an object.

The present invention has been made in view of the above problems, and an object of the present invention is to provide a process for evaluating the color of an actual object based on a captured image of an object.

In order to solve the above problems, the image processing apparatus according to the present invention includes an acquisition means for acquiring captured image data obtained by imaging an object, and a first pixel included in the captured image represented by the captured image data. A generation means that generates display image data by converting a color signal value into a second color signal value according to the characteristics of the display means, and a plurality of areas designated by the user in the display image represented by the display image data. It is characterized by having a calculation means for calculating an evaluation value of a corresponding color, and a display control means for displaying the plurality of regions and the evaluation value on the display means in association with each other.

According to the present invention, it is possible to evaluate the actual color based on the captured image of the object.

Diagram showing the configuration of the color evaluation system Block diagram showing the hardware configuration of the image processing device Block diagram showing the functional configuration of the image processing device Flowchart showing the processing executed by the image processing device Flowchart showing the process of creating a color conversion LUT _A Diagram showing an example of a color chart Flowchart showing the process of creating a color conversion LUT _B The figure which shows the linearity of the color signal value with respect to the luminance of the object to be evaluated. Flowchart showing the process of calculating the evaluation value The figure which shows the display example of a display image and an evaluation value The figure which shows the display example of a display image and an evaluation value The figure which shows the display example of a display image and an evaluation value Block diagram showing the functional configuration of the image processing device Flowchart showing the processing executed by the image processing device Flowchart showing the process of acquiring the evaluation value Block diagram showing the functional configuration of the image processing device

Hereinafter, embodiments of the present invention will be described with reference to the drawings. The following embodiments do not necessarily limit the present invention. Moreover, not all combinations of features described in the present embodiment are essential for the means of solving the present invention.

[First Embodiment]
<Structure of color evaluation system>
FIG. 1 is a diagram showing a configuration of a color evaluation system. The color evaluation system includes an image processing device 1, a display device 2, an image pickup device 3, and an input device 110. The color evaluation system processes the captured image data obtained by imaging the evaluation target object 4 using the image pickup device 3 in the image processing device 1. The color evaluation system displays the display image and the evaluation value obtained as a result of the processing on the display device 2 according to the instruction of the user via the input device 110. The object 4 to be evaluated in this embodiment is an industrial product such as a printer, which is composed of a plurality of parts.

<Hardware configuration of image processing device>
FIG. 2 is a block diagram showing a hardware configuration of the image processing device 1. The image processing device 1 includes a CPU 101, a ROM 102, and a RAM 103. Further, the image processing device 1 includes a VC (video card) 104, a general-purpose I / F (interface) 105, a SATA (serial ATA) I / F 106, and a NIC (network interface card) 107.

The CPU 101 uses the RAM 103 as a work memory to execute an OS (operating system) and various programs stored in a ROM 102, an HDD (hard disk drive) 112, and the like. Further, the CPU 101 controls each configuration via the system bus 108. The process according to the flowchart described later is executed by the CPU 101 after the program code stored in the ROM 102, the HDD 112, or the like is expanded into the RAM 103. A display device 2 is connected to the VC 104. An input device 110 such as a mouse or keyboard and an image pickup device 3 are connected to the general-purpose I / F 105 via a serial bus 109. A general-purpose drive 113 that reads and writes HDD 112 and various recording media is connected to SATAI / F106 via a serial bus 111. The NIC 107 inputs and outputs information to and from an external device. The CPU 101 uses various recording media mounted on the HDD 112 or the general-purpose drive 113 as a storage location for various data. The CPU 101 displays a UI (user interface) provided by the program on the display device 2 and receives an input such as a user instruction received via the input device 110.

<Functional configuration of image processing device>
FIG. 3 is a block diagram showing a functional configuration of the image processing device 1. The CPU 101 functions as the functional configuration shown in FIG. 3 by reading and executing the program stored in the ROM 102 or the HDD 112 using the RAM 103 as the work memory. It should be noted that it is not necessary that all of the processes shown below are executed by the CPU 101, and even if the image processing device 1 is configured so that a part or all of the processes are performed by one or a plurality of processing circuits other than the CPU 101. Good.

The image processing device 1 includes an image data acquisition unit 11, a display image generation unit 12, an evaluation image generation unit 13, a designated reception unit 14, and an evaluation value calculation unit 15. The image data acquisition unit 11 acquires captured image data obtained by imaging the evaluation target object 4 by the imaging device 3. The image data acquisition unit 11 in the present embodiment controls the image pickup device 3 to image the evaluation target object 4 and acquires the captured image data. The captured image data previously held in the HDD 112 may be acquired from the HDD 112.

The display image generation unit 12 generates display image data representing a display image for displaying the evaluation target object 4 on the display device 2 with the same impression as the real object, based on the captured image represented by the captured image data. Specifically, the display image generation unit 12 converts the color signal value that the captured image has as a pixel value in each pixel into a color signal value according to the characteristics of the display device 2. Here, the color signal value of the captured image is a value expressed in a color space depending on the image pickup device 3, and the color space depending on the image pickup device 3 in the present embodiment has R, G, and B as axes. It is a color space. Hereinafter, the color signal values included in the captured image, captured color signal value _{(R C, G C, B} C) and expressed. Further, the color signal value according to the characteristics of the display device 2 is a value expressed in the color space depending on the display device 2, and the color spaces depending on the display device 2 in the present embodiment are R, G, and B, respectively. It is a color space centered on. Hereinafter, the color signal values corresponding to the characteristics of the display device 2, display color signal values _{(R D, G D, B} D) to be represented. The display image generation unit 12 also functions as a display control unit that displays a display image having display _{color signal values (RD} , G _D , _{BD) in each pixel on the display device 2.}

The evaluation image generation unit 13 generates evaluation image data representing the evaluation image used for calculating the evaluation value of the color of the evaluation target object 4. Specifically, the evaluation image generator 13, an imaging color signal values captured image has the pixel _{(R C, G C, B} C) , and converted to a device-independent color signal values. Here, the device-independent color signal value is a value expressed in the device-independent color space, and the device-independent color space in the present embodiment is a color space centered on each of X, Y, and Z. Is. Hereinafter, the device-independent color signal value is expressed as a device-independent color signal value (X, Y, Z).

The designated reception unit 14 receives evaluation area information representing an evaluation area designated by the user in the display image displayed on the display device 2. The evaluation area information in the present embodiment is the coordinates (x, y) of the evaluation area in the displayed image. Here, the area designated by the user in the display image is at least a part of the area corresponding to the evaluation target object 4 and the area where the color is to be compared with the evaluation target object 4. The two regions designated in the present embodiment are regions including a plurality of pixels, respectively, but the designated region may be one pixel. The region for which the color is to be compared with the evaluation target object 4 may also be a part of the region corresponding to the evaluation target object 4. In this case, in the evaluation target object 4, the color can be evaluated by comparing two different places such as a color difference between parts.

The evaluation value calculation unit 15 calculates the color evaluation value based on the evaluation image data input from the evaluation image generation unit 13 and the evaluation area information input from the designated reception unit 14. Specifically, the evaluation value calculation unit 15 calculates the average value of the device-independent color signal values (X, Y, Z) in each of the two evaluation regions, and uses the calculated average value as the color evaluation value. Convert. The evaluation value calculation unit 15 also functions as a display control unit that displays the calculated evaluation value of the color on the display device 2 together with the display image.

<Processes executed by the image processing device>
FIG. 4 is a flowchart showing a process executed by the image processing device 1. Hereinafter, each step (step) is represented by adding S before the reference numeral.

In S41, the image data acquisition unit 11 acquires the captured image data obtained by the imaging of the imaging device 3. In S42, the display image generation unit 12, an imaging color signal value with the captured image _{(R C, G C, B} C) Display color signal value using a color conversion lookup table _{(R D, G D, B} D ) To generate display image data. As used herein, a color conversion lookup table (hereinafter, expressed as color conversion LUT) is captured color signal value _{(R C, G C, B} C) and the display color signal value _{(R D, G D, B} D) and It is _{a color conversion LUT A} that holds the correspondence of. The display image generation unit 12 _{acquires the color conversion LUT A} created in advance from a storage device such as HDD 112 and uses it for color conversion. Details of the process for creating the color conversion LUT _{A will be described later.}

In S43, the evaluation image generator 13, image pickup color signal value with the captured image _{(R C, G C, B} C) using the color conversion LUT _B a device-independent color signal values (X, Y, Z ) To generate evaluation image data. The color conversion LUT _B as used herein holds captured color signal value _{(R C, G C, B} C) and the device-independent color signal values (X, Y, Z) the correspondence between the. The evaluation image generation unit 13 _{acquires the color conversion LUT B} created in advance from a storage device such as HDD 112 and uses it for color conversion. Details of the process for creating the color conversion LUT _{B will be described later.}

In S44, the display image generation unit 12 displays the display image on the display device 2. In S45, the designated reception unit 14 receives the evaluation area information representing the evaluation area designated by the user in the display image displayed on the display device 2. In S46, the evaluation value calculation unit 15 calculates the color evaluation value based on the evaluation image data and the evaluation area information, and displays the calculated evaluation value on the display device 2. Details of the processing related to the calculation and display of the evaluation value will be described later.

<Process to create color conversion LUT _A>
Here, the details of the process of creating the color conversion LUT _{A will be described.} FIG. 5 is a flowchart showing a process of creating a _{color conversion LUT A.}

In S51, the imaging color signal value _{(R C, G C, B} C) and the device-independent color signal values (X, Y, Z) relationship showing a correspondence between a is created. When creating the relational expression, a color chart containing a plurality of color patches is used, for example, as shown in FIG. First acquires imaging color signal value to image a plurality of color patches using the imaging device _{3 (R C, G C,} B C) a. Imaging color signal values in each color patch _{(R C, G C, B} C) by is averaged, one by one imaging color signal value on each color patch _{(R C, G C, B} C) is obtained .. Acquired captured color signal value _{(R C, G C, B} C) , respectively, equation (1), equation (2), (3), (4), using equation ^{(5), L} * a Convert to ^* b ^* values (L ^* ₁ , a ^* ₁ , b ^* _1). Here, let the reference white color signal value be (X _W , Y _W , Z _W ). The L ^* a ^* b ^* value is a device-independent color signal value, and is a value expressed in a color space centered on each of ^{L *} , a ^* , and b ^*.

Next, device-independent color signal values (X, Y, Z) are acquired by measuring each of the plurality of color patches using a colorimeter. By averaging the device-independent color signal values (X, Y, Z) in each color patch, one device-independent color signal value (X, Y, Z) can be obtained for each color patch. .. ^{The acquired device-independent color signal values (X, Y, Z) are converted into L *} a ^* b ^* values (L * a * b * values) using equations (2), (3), (4), and (5). Convert to L ^* ₂ , a ^* ₂ , b ^* _2).

The coefficients (α0 to α8) of the matrix of the equation (1) are obtained by the least squares method so that the color difference ΔE shown in the equation (6) approaches 0. By obtaining the coefficients of the matrix (α0~α8), imaging color signal value _{(R C, G C, B} C) and the device-independent color signal values (X, Y, Z) relation formula showing a relationship between Equation (1) is obtained.

_{In S52, a color conversion LUT D} that maintains the correspondence between the display color signal values ( _RD , G _D , _BD ) and the device-independent color signal values (X, Y, Z) is created. First, different from the display device 2, display color signal values _{(R D,} G D, _{B D),} and from (0,0,0) to (255,255,255), R, G, and B respectively by 32 A color chart containing a total of 729 color patches is displayed. Next, the device-independent color signal values (X, Y, Z) are acquired by measuring each of the displayed color patches using a colorimeter. As a result, for each color patch, _{a correspondence relationship between the display color signal values (RD} , G _D , _BD ) and the device-independent color signal values (X, Y, Z) can be obtained. Use to generate a color conversion LUT _D.

In S53, the gamut mapping, imaging color signal value _{(R C, G C, B} C) and the display color signal value _{(R D, G D, B} D) color conversion LUT _A storing relationships between are created To. First, the color to hold using the obtained relationship in S51, the image pickup color signal value _{(R C, G C, B} C) and the device-independent color signal values (X, Y, Z) the correspondence between the Create a conversion LUT _C. The color conversion LUT _C is an imaging color signal value _{(R C,} G C, _{B C),} and varied until, R, G, and B respectively by 32 (0,0,0) to (255,255,255) It can be created by acquiring 729 correspondences. Then, by using the color conversion LUT _C and the color conversion LUT _D created by a known gamut mapping, imaging color signal value _{(R C, G C, B} C) Display color signal value _(R D, _{G D} , _BD ). This conversion for imaging color signal value _{(R C, G C, B} C) and the display color signal value _{(R D, G D, B} D) is correspondence between the obtained, creating a color conversion LUT _A Can be done. In the gamut mapping performed here, perceptual gamut mapping is desirable in order to display the evaluation target object 4 on the display device 2 with the same impression as the real object.

<Process to create color conversion LUT _B>
Here, the details of the process of creating the color conversion LUT _{B will be described.} FIG. 7 is a flowchart showing a process of creating a _{color conversion LUT B.}

In S71, the imaging color signal value _{(R C, G C, B} C) and the device-independent color signal values (X, Y, Z) relationship showing a correspondence between a is created. Since the processing in S71 is the same processing as in S51, the description thereof will be omitted. If the relational expression is created in S51 in advance, the processing in S71 may not be performed. For the relational expression created here, it is desirable to use a highly linear matrix such as a 3 × 3 matrix in order to calculate the color evaluation value with high accuracy. By using a highly linear matrix, it is possible to calculate a linear evaluation value with respect to the brightness of the evaluation target object 4.

In S72, by using the obtained relationship in S71, holds the imaging color signal value _{(R C, G C, B} C) and the device-independent color signal values (X, Y, Z) the correspondence between the Create a color conversion LUT _B. Since the process in S72 is the same process as the process for creating the _{color conversion LUT C in S53, the description thereof will be omitted.} Note that when creating the color conversion LUT _C in advance S53, without performing the process in S72, it is possible to use a color conversion LUT _C as the color conversion LUT _B.

<Linearity of color signal values with respect to the object to be evaluated>
_{FIG. 8 shows the linearity of the display color signal values (RD} , G _D , _BD ) and the device-independent color signal values (X, Y, Z) with respect to the brightness of the object 4 to be evaluated. Display color signal value of the display image _{(R D, G D, B} D) , due displayable intensity range of the display device 2, can not maintain the linearity of the luminance of the evaluation object 4. Therefore, as shown in FIG. 8A, it is necessary to perform non-linear compression on the color signal value corresponding to the high-luminance region of the evaluation target object 4. That is why the gamut mapping is performed in S53.

On the other hand, in order to create a relational expression for the device-independent color signal values (X, Y, Z) of the evaluation image so as to have high linearity with respect to the brightness of the evaluation target object 4 in S71, FIG. As shown in (b), the linearity with respect to the brightness of the evaluation target object 4 can be maintained.

In this way, the display image and the evaluation image are separately generated by the conversion suitable for the display and the evaluation of the captured image, so that the user can confirm the evaluation target object 4 with the same impression as the real object. Color can be evaluated according to the highly accurate evaluation value of the specified area.

<Processing to calculate the evaluation value>
Here, the details of the process of calculating the evaluation value in S46 will be described. FIG. 9 is a flowchart showing a process of calculating the evaluation value.

In S91, the evaluation value calculation unit 15 acquires device-independent color signal values (X, Y, Z) corresponding to the area represented by the evaluation area information in the evaluation image. In S92, the evaluation value calculation unit 15 calculates the average value of the device-independent color signal values (X, Y, Z) in each of the evaluation regions. As a result, one device-independent color signal value (X, Y, Z) can be obtained for each evaluation region.

In S93, the evaluation value calculation unit 15 converts the device-independent color signal values (X, Y, Z) into L ^* a ^* b ^{* values for each evaluation region.} The above-mentioned equations (2) to (5) are used for the conversion. The reference white color signal values (X _W , Y _W , Z _W ) are obtained by the user designating the reference white point in the displayed image. In S94, the evaluation value calculation unit 15 displays the device-independent color signal values (X, Y, Z) and the L ^* a ^* b ^* values on the display device 2 as evaluation values.

A display example of the display image and the evaluation value is shown in FIG. In FIG. 10, the display image 1002 is displayed in the window 1001. Further, the evaluation value calculated in S93 is displayed as a numerical value in the numerical display area 1003, and is also displayed as points 1009 and 1010 plotted in the graph 1004. The user can specify the white point 1006, the first evaluation area 1007, and the second evaluation area 1008 by using the pointer 1005 that can be operated by the input device 110. When the evaluation value of the first evaluation area 1007 corresponds to the point 1009, the border is drawn in the same color (for example, yellow). Further, the background of the numerical value in the numerical value display area 1003 corresponding to the evaluation value of the first evaluation area 1007 is also drawn in the same color (yellow).

The background of the numerical value in the numerical display area 1003 corresponding to the frame line of the second evaluation area 1008, the frame line of the point 1010, and the evaluation value of the second evaluation area 1008 is drawn in the same color (for example, blue). Further, the border of the white point 1006 and the background of the reference white color signal value in the numerical display area 1003 are drawn in the same color (for example, red). By drawing the evaluation area and the corresponding evaluation value in the same color in this way, the correspondence between the evaluation area and the evaluation value can be easily confirmed.

<Effect of the first embodiment>
As described above, the image processing device 1 in the present embodiment acquires captured image data obtained by imaging an object. Display image data is generated by converting the color signal value of each pixel included in the captured image represented by the captured image data into a color signal value according to the characteristics of the display means. The evaluation value of the color corresponding to a plurality of areas designated by the user in the display image represented by the display image data is calculated. A plurality of areas and evaluation values are associated and displayed on the display means. This makes it possible to evaluate the actual color in real time with respect to the user's area designation based on the captured image of the object.

<Modification example>
In FIG. 10, the evaluation areas are distinguished by the border and background colors, but the correspondence may be easily understood by another display method. For example, as shown in FIG. 11, symbols such as a quadrangle, a triangle, and a star may be arranged around the designated point. Further, as shown in FIG. 12, the shape of the frame for specifying the designated point may be a shape such as a quadrangle, a triangle, or a star.

Further, in the first embodiment, the evaluation values are displayed as device-independent color signal values (X, Y, Z) and L ^* a ^* b ^* values (L ^* , a ^* , b ^*). Either one may be displayed as an evaluation value. Further, the color difference between the evaluation areas may be displayed as an evaluation value. The color difference in this case can be calculated using, for example, equation (6). Further, the evaluation value may be a difference in saturation, a difference in brightness, or the like.

Further, in the first embodiment, the evaluation values of two places designated by the user are displayed, but the number of designated evaluation areas may be three or more as long as there are a plurality of evaluation areas.

Further, in the first embodiment, the display image generation unit 12 and the evaluation value calculation unit 15 control the display, but as shown in FIG. 16, the image processing device 1 calculates the evaluation value with the display image generation unit 12. A display control unit 18 may be provided separately from the unit 15. In this case, the display control unit 18 controls the display of the display image and the evaluation value.

[Second Embodiment]
In the first embodiment, the display image data and the evaluation image data are separately generated based on the captured image data. In the present embodiment, the display image data is generated based on the captured image data, and the evaluation value is acquired based on the display image data. Since the hardware configuration of the image processing device 1 in this embodiment is the same as that in the first embodiment, the description thereof will be omitted. Hereinafter, the differences between the present embodiment and the first embodiment will be mainly described. The same configuration will be described with the same reference numerals.

<Functional configuration of image processing device>
FIG. 13 is a block diagram showing a functional configuration of the image processing device 1. The CPU 101 functions as the functional configuration shown in FIG. 13 by reading and executing the program stored in the ROM 102 or the HDD 112 using the RAM 103 as the work memory. It should be noted that it is not necessary that all of the processes shown below are executed by the CPU 101, and even if the image processing device 1 is configured so that a part or all of the processes are performed by one or a plurality of processing circuits other than the CPU 101. Good.

The image processing device 1 includes an image data acquisition unit 11, a display image generation unit 12, a designated reception unit 14, an evaluation value conversion LUT holding unit 16, and an evaluation value acquisition unit 17. Evaluation value conversion LUT holding unit 16 holds the evaluation value conversion LUT holds a correspondence relationship between the display color signal value of the display image _{(R D, G D, B} D) and the evaluation value. The evaluation value acquisition unit 17 acquires a color evaluation value based on the evaluation area information, the display image data, and the evaluation value conversion LUT, and displays the acquired evaluation value on the display device 2.

<Processing executed by the image processing device 1>
FIG. 14 is a flowchart showing a process executed by the image processing device 1. In S1401, the image data acquisition unit 11 acquires the captured image data obtained by the imaging of the imaging device 3. In S1402, the display image generation unit 12, an imaging color signal value with the captured image _{(R C, G C, B} C) display color signal values using the color conversion _{LUT A (R D, G D} , B D) Display image data is generated by converting to.

In S1403, the display image generation unit 12 displays the display image on the display device 2. In S1404, the designated reception unit 14 receives the evaluation area information representing the evaluation area designated by the user in the display image displayed on the display device 2. In S1405, the evaluation value acquisition unit 17 acquires the color evaluation value based on the evaluation area information, the display image data, and the evaluation value conversion LUT, and displays the acquired evaluation value on the display device 2. Details of the processing related to the acquisition and display of the evaluation value will be described later.

<Process to acquire evaluation value>
Here, the details of the process of acquiring the evaluation value in S1405 will be described. FIG. 15 is a flowchart showing a process of acquiring an evaluation value.

In S1501, the evaluation value acquisition unit 17 acquires display color signal values ( _RD , G _D , _BD ) corresponding to the area represented by the evaluation area information in the display image. In S1502, the evaluation value acquisition unit 17 calculates the average value _{of the display color signal values (RD} , G _D , _{BD) in each of the evaluation areas.} As a result, one display color signal value ( _RD , G _D , _BD ) can be obtained for each evaluation region.

In S1503, the evaluation value acquisition unit 17 _{converts the display color signal values (RD} , G _D , _BD ) into evaluation values using the evaluation value conversion LUT for each evaluation region. In the present embodiment, the display color signal values ( _RD , G _D , _BD ) are converted into device-independent color signal values (X, Y, Z). Here, the color conversion LUT _D described above is used as the evaluation value conversion LUT. In S1504, the evaluation value acquisition unit 17 converts the device-independent color signal values (X, Y, Z) into L ^* a ^* b ^{* values.} The above-mentioned equations (2) to (5) are used for the conversion. The reference white color signal values (X _W , Y _W , Z _W ) are obtained by the user designating the reference white point in the displayed image. In S1505, the evaluation value acquisition unit 17 displays the device-independent color signal values (X, Y, Z) and the L ^* a ^* b ^* values on the display device 2 as evaluation values.

<Effect of the second embodiment>
As described above, the image processing device 1 in the present embodiment generates display image data based on the captured image data, and acquires an evaluation value based on the display image data. This makes it possible to evaluate the actual color in real time with respect to the user's area designation based on the captured image of the object.

[Other Embodiments]
The present invention supplies a program that realizes one or more functions of the above-described embodiment to a system or device via a network or storage medium, and one or more processors in the computer of the system or device reads and executes the program. It can also be realized by the processing to be performed. It can also be realized by a circuit (for example, ASIC) that realizes one or more functions.

1 Image processing device 11 Image data acquisition unit 12 Display image generation unit 15 Evaluation value calculation unit

Claims (16)

An acquisition means for acquiring captured image data obtained by imaging an object, and
A generation means for generating display image data by converting a first color signal value of each pixel included in the captured image represented by the captured image data into a second color signal value according to the characteristics of the display means.
A calculation means for calculating an evaluation value of a color corresponding to a plurality of areas designated by a user in a display image represented by the display image data,
A display control means for displaying the plurality of areas and the evaluation value in association with each other on the display means.
An image processing device characterized by having. The plurality of regions include a first region corresponding to the first evaluation value and a second region corresponding to the second evaluation value.
The display control means displays the first evaluation value and the first region in a first color, and displays the second evaluation value and the second region in a second color different from the first color. The image processing apparatus according to claim 1. The plurality of regions include a first region corresponding to the first evaluation value and a second region corresponding to the second evaluation value.
The display control means displays a first symbol around the first evaluation value and the first region, and a second symbol different from the first symbol around the second evaluation value and the second region. The image processing apparatus according to claim 1, wherein a symbol is displayed. The plurality of regions include a first region corresponding to the first evaluation value and a second region corresponding to the second evaluation value.
The display control means displays the shape of the frame that specifies the first evaluation value and the first region as the first shape, and the shape of the frame that specifies the second evaluation value and the second region is described as the first shape. The image processing apparatus according to claim 1, wherein the image processing apparatus is displayed as a second shape different from the first shape. Any of claims 1 to 4, wherein the generation means generates the display image data using a table that holds a correspondence between the first color signal value and the second color signal value. The image processing apparatus according to claim 1. The image processing apparatus according to any one of claims 1 to 5, wherein the characteristic of the display means is a characteristic relating to brightness that can be displayed by the display means. The image processing apparatus according to any one of claims 1 to 6, wherein the plurality of regions include two regions corresponding to a part of the object in the displayed image. The image processing apparatus according to claim 7, wherein the evaluation value is a color difference between two regions corresponding to a part of the object. The object is an industrial product composed of a plurality of parts.
The image processing apparatus according to claim 8, wherein the evaluation value is a color difference between the plurality of parts. It further has a second generation means for generating evaluation image data by converting the first color signal value of each pixel included in the captured image represented by the captured image into a device-independent third color signal value.
The image processing apparatus according to any one of claims 1 to 9, wherein the calculation means calculates the evaluation value based on the evaluation image data. The second color signal value is a value that is non-linear with respect to the brightness of the object.
The image processing apparatus according to claim 10, wherein the third color signal value is a value linear with respect to the brightness of the object. Further having a receiving means for receiving area information representing the plurality of areas in response to the instruction of the user.
The image processing apparatus according to any one of claims 1 to 11, wherein the calculation means calculates the evaluation value based on the area information. The image processing apparatus according to any one of claims 1 to 12, wherein the evaluation value is a device-independent color signal value. A display means for displaying an image obtained by imaging an object,
It has a receiving means for receiving an instruction of a user who specifies at least two areas in the displayed image.
The display means is a color evaluation system characterized in that the designated area and a color evaluation value corresponding to a pixel value in the designated area are displayed in association with each other. A program for causing a computer to function as each means of the image processing apparatus according to any one of claims 1 to 13. An acquisition step to acquire captured image data obtained by imaging an object, and
A generation step of generating display image data by converting the first color signal value of each pixel included in the captured image represented by the captured image data into a second color signal value according to the characteristics of the display means.
A calculation step of calculating an evaluation value of a color corresponding to a plurality of areas designated by the user in the display image represented by the display image data, and a calculation step.
A display control step for displaying the plurality of areas and the evaluation value in association with each other on the display means.
An image processing method characterized by having.

Images