Display panel evaluation method and device, electronic equipment and readable storage medium

Abstract

The invention relates to the technical field of display, and particularly discloses a display panel evaluation method, electronic equipment and a computer readable storage medium. The method comprises the following steps: acquiring a first shot image, wherein the first shot image is display picture data after a to-be-detected display panel is lightened; acquiring first compensation data according to the first shot image, and compensating the display panel to be tested based on the first compensation data; obtaining a second shot image, wherein the second shot image is display picture data after the compensated display panel to be detected is lightened; acquiring second compensation data according to the second shot image; and evaluating the compensation effect of the to-be-tested panel according to the second compensation data. According to the embodiment, the compensation effect of the display panel to be tested can be evaluated according to the second compensation data, the efficiency is higher, and the evaluation accuracy is higher.

Description

Technical Field

[0001] The present application relates to the field of display technology, and in particular to a display panel evaluation method, device, electronic device and readable storage medium. Background Art

[0002] Mura mainly refers to the uneven brightness of the display panel when displaying grayscale images. This phenomenon is mostly caused by adverse factors in the production process of the display panel. As the size of display panels becomes larger and larger, the requirements for display panel production technology are also getting higher and higher, and the probability of display panels having Mura is also increasing.

[0003] Currently, the Mura of the display panel is mainly eliminated through the Demura compensation algorithm, and then the Demura compensation effect is evaluated. However, the current method of evaluating the Demura compensation effect of products still remains in manual visual inspection, which has poor accuracy and low efficiency. Summary of the invention

[0004] Based on this, it is necessary to provide a display panel evaluation method, a display panel evaluation device, an electronic device and a computer-readable storage medium to address the above problems.

[0005] According to a first aspect of an embodiment of the present application, a method for evaluating a display panel is provided, comprising:

[0006] Acquire a first captured image, where the first captured image is display screen data after the display panel to be tested is illuminated;

[0007] acquiring first compensation data according to the first captured image, and compensating the display panel to be tested based on the first compensation data;

[0008] Acquire a second captured image, where the second captured image is display screen data after the display panel to be tested is illuminated after compensation;

[0009] acquiring second compensation data according to the second captured image;

[0010] The compensation effect of the panel to be tested is evaluated according to the second compensation data.

[0011] In one embodiment, the step of acquiring the first captured image includes:

[0012] Controlling the display panel to be tested to display a preset grayscale image;

[0013] The preset grayscale picture displayed by the display panel to be tested is photographed by a photographing device to obtain the first photographed image.

[0014] In one embodiment, the step of acquiring the second captured image includes:

[0015] Controlling the compensated display panel to be tested to display the preset grayscale picture;

[0016] The preset grayscale picture displayed by the display panel to be tested after compensation is photographed by a photographing device to obtain the second photographed image.

[0017] In one embodiment, the step of acquiring second compensation data according to the second captured image comprises:

[0018] Extracting the grayscale value corresponding to each pixel in the second captured image;

[0019] Get the average value of the grayscale value corresponding to each pixel;

[0020] The second compensation data is obtained according to the average value and the grayscale value corresponding to each pixel.

[0021] In one embodiment, the step of acquiring the second compensation data according to the average value and the grayscale value corresponding to each pixel point includes:

[0022] Respectively obtaining the ratio of the grayscale value corresponding to each of the pixel points to the average value;

[0023] Subtracting each ratio from a preset value to obtain each difference, and taking an absolute value of each difference;

[0024] The second compensation data is obtained by squaring each of the absolute values.

[0025] In one of the embodiments, the second compensation data includes compensation values ​​corresponding to each pixel point in the second captured image;

[0026] The step of evaluating the compensation effect of the panel to be tested according to the second compensation data includes: determining the minimum noticeable difference of the display panel to be tested after compensation according to the compensation value corresponding to each pixel point.

[0027] In one of the embodiments, the step of evaluating the compensation effect of the panel to be tested according to the second compensation data further includes: determining the Mura type of the display panel to be tested according to the spatial distribution of the compensation values ​​corresponding to each pixel point.

[0028] According to a second aspect of an embodiment of the present application, a display panel evaluation device is provided, characterized in that it includes:

[0029] A first acquisition module, used to acquire a first captured image, where the first captured image is display screen data after the display panel to be tested is illuminated;

[0030] a second acquisition module, configured to acquire first compensation data according to the first captured image, and compensate the display panel to be tested based on the first compensation data;

[0031] A third acquisition module is used to acquire a second captured image, where the second captured image is display screen data after the display panel to be tested is illuminated after compensation;

[0032] a fourth acquisition module, configured to acquire second compensation data according to the second captured image;

[0033] An evaluation module is used to evaluate the compensation effect of the panel to be tested according to the second compensation data.

[0034] According to a third aspect of an embodiment of the present application, an electronic device is provided, comprising: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the computer program implements the display panel evaluation method as described above when executed by the processor.

[0035] According to a fourth aspect of an embodiment of the present application, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the display panel evaluation method as described above is implemented.

[0036] The display panel evaluation method provided in the embodiment of the present application can, after compensating the display panel to be tested, light up the compensated display panel to be tested again and obtain a second captured image, obtain second compensation data based on the second captured image, and evaluate the compensation effect of the display panel to be tested based on the second compensation data. Compared with the method of evaluating the compensation effect of the display panel to be tested by artificial naked eyes in the traditional technology, in this embodiment, after compensating the display panel to be tested, obtain a second captured image corresponding to the display screen of the compensated display panel to be tested, obtain second compensation data based on the second captured image, and then evaluate the compensation effect of the display panel to be tested based on the second compensation data, which is more efficient and has higher evaluation accuracy. BRIEF DESCRIPTION OF THE DRAWINGS

[0037] Figure 1 A flowchart of a display panel evaluation method provided in one embodiment of the present application;

[0038] Figure 2 A flowchart of step S100 in a display panel evaluation method provided in an embodiment of the present application;

[0039] Figure 3 A flowchart of step S300 in a display panel evaluation method provided in an embodiment of the present application;

[0040] Figure 4 A flowchart of step S400 in a display panel evaluation method provided in an embodiment of the present application;

[0041] Figure 5 A flowchart of step S430 in a display panel evaluation method provided in an embodiment of the present application;

[0042] Figure 6 is a spatial distribution diagram of the second compensation data in a specific example;

[0043] Figure 7 A schematic diagram of the structure of a display panel evaluation device provided in one embodiment of the present application;

[0044] Figure 8 A schematic diagram of the structure of an electronic device provided in one embodiment of the present application. DETAILED DESCRIPTION

[0045] In order to facilitate the understanding of the present application, the present application will be described more fully below with reference to the relevant drawings. The preferred embodiments of the present application are given in the drawings. However, the present application can be implemented in many different forms and is not limited to the embodiments described herein. On the contrary, the purpose of providing these embodiments is to understand the disclosure of the present application more thoroughly and comprehensively.

[0046] In this application, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements, unless otherwise clearly defined. For ordinary technicians in this field, the specific meanings of the above terms in this application can be understood according to specific circumstances.

[0047] The terms "first" and "second" are used for descriptive purposes only and should not be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, a feature defined as "first" or "second" may explicitly or implicitly include at least one of the features. In the description of this application, the meaning of "plurality" is at least two, such as two, three, etc., unless otherwise clearly and specifically defined.

[0048] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which this application belongs. The terms used herein in the specification of this application are only for the purpose of describing specific embodiments and are not intended to limit this application. The term "and / or" used herein includes any and all combinations of one or more of the related listed items.

[0049] Mura mainly refers to the uneven brightness of the display panel when displaying grayscale images. This phenomenon is mostly caused by adverse factors in the production process of the display panel. As the size of display panels becomes larger and larger, the requirements for display panel production technology are also getting higher and higher, and the probability of display panels having Mura is also increasing.

[0050] Currently, the Mura of the display panel is eliminated mainly through the Demura compensation algorithm, and then the Demura compensation effect is evaluated. However, the current method of evaluating the Demura compensation effect of products still remains in manual visual inspection, which is time-consuming and labor-intensive, and has low efficiency. In addition, due to human subjective factors, the evaluation results are often biased, resulting in poor evaluation accuracy.

[0051] In view of the above problems, embodiments of the present application provide a display panel evaluation method, an electronic device, and a computer-readable storage medium.

[0052] In one embodiment, a display panel evaluation method is provided, by which the compensation effect of the display panel to be tested can be efficiently and accurately evaluated. Hereinafter, the evaluation of the demura compensation effect of the display panel to be tested is taken as an example for description.

[0053] Reference Figure 1 The display panel evaluation method provided in this embodiment includes the following steps:

[0054] Step S100: Acquire a first captured image, where the first captured image is display screen data after the display panel to be tested is illuminated.

[0055] Step S200: acquiring first compensation data according to the first captured image, and compensating the display panel to be tested based on the first compensation data.

[0056] First, the display panel to be tested can be compensated according to the normal Demura compensation process. Specifically, the display panel to be tested can be first lit up to make the display panel to be tested display a picture, and then the image data corresponding to the display picture of the display panel to be tested, that is, the first captured image, can be obtained. After the first captured image is obtained, the first Demura compensation data can be obtained according to the first captured image, and then the Demura compensation can be performed on the display panel to be tested based on the first Demura compensation data.

[0057] Step S300: Acquire a second captured image, where the second captured image is display screen data of the compensated display panel to be tested after being illuminated.

[0058] In the conventional technology, after executing step S200, the demura compensation effect of the display panel to be tested is evaluated based on manual visual inspection, which is inefficient and has poor accuracy. In the present embodiment, after the demura compensation is performed on the display panel to be tested, the demura-compensated display panel to be tested is illuminated to display the desired image, and then image data corresponding to the displayed image, i.e., the second captured image, is obtained, so that the second captured image can be subsequently analyzed to achieve the evaluation of the demura compensation effect of the display panel to be tested.

[0059] Step S400: Acquire second compensation data according to the second captured image.

[0060] After the second captured image is acquired, the second captured image can be analyzed to obtain the second demura compensation data. The method for acquiring the second demura compensation data is the same as the method for acquiring the first demura compensation data, and no additional algorithm needs to be developed, thus saving resources.

[0061] Step S500: evaluating the compensation effect of the panel to be tested according to the second compensation data.

[0062] After the second Demura compensation data is obtained, the Demura compensation effect of the panel under test can be evaluated according to the second Demura compensation data. There is no need to use the second Demura compensation data to compensate the display panel under test, so the second Demura compensation data does not need to occupy memory, and is only used to quantitatively evaluate the Demura effect of the display panel under test.

[0063] In this embodiment, when the value of the second Demura compensation data is larger, it can be explained that the deviation between the display effect of the display panel to be tested after Demura compensation and the target display effect is larger; conversely, when the value of the second Demura compensation data is smaller, it can be explained that the deviation between the display effect of the display panel to be tested after Demura compensation and the target display effect is smaller.

[0064] The display panel evaluation method provided in the embodiment of the present application can, after compensating the display panel to be tested, light up the compensated display panel to be tested again and obtain a second captured image, obtain second compensation data based on the second captured image, and evaluate the compensation effect of the display panel to be tested based on the second compensation data. Compared with the method of evaluating the compensation effect of the display panel to be tested by artificial naked eyes in the traditional technology, in this embodiment, after compensating the display panel to be tested, obtain a second captured image corresponding to the display screen of the compensated display panel to be tested, obtain second compensation data based on the second captured image, and then evaluate the compensation effect of the display panel to be tested based on the second compensation data, which is more efficient and has higher evaluation accuracy.

[0065] Reference Figure 2 In one embodiment, step S100, i.e., the step of acquiring the first captured image, comprises:

[0066] Step S110, controlling the display panel to be tested to display a preset grayscale image;

[0067] Step S120: photographing a preset grayscale image displayed by the display panel to be tested by using a photographing device to obtain the first photographed image.

[0068] Before demura compensation is performed on the display panel to be tested, the pixel units in the display area of ​​the display panel to be tested can be controlled to display a preset grayscale image, and then a shooting device is used to shoot the display area of ​​the display panel to be tested to obtain a shot image, which is defined as a first shot image in this embodiment. The shooting device may include a high-precision camera, a webcam or other shooting equipment.

[0069] Reference Figure 3 In one embodiment, step S300, i.e., the step of acquiring the second captured image, comprises:

[0070] Step S310, controlling the compensated display panel to display the preset grayscale image;

[0071] Step S320: photographing the preset grayscale image displayed by the display panel to be tested after compensation by using a photographing device to obtain a second photographed image.

[0072] The step of acquiring the second captured image is the same as the step of acquiring the first captured image, and will not be repeated here. In this step, the image displayed by the display panel to be tested is controlled to be consistent with the image displayed by the display panel to be tested in step S110, both of which are preset grayscale images.

[0073] Reference Figure 4In one embodiment, step S400, i.e., the step of acquiring second compensation data according to the second captured image, comprises:

[0074] Step S410, extracting the grayscale value corresponding to each pixel in the second captured image;

[0075] Step S420, obtaining the average value of the grayscale value corresponding to each pixel;

[0076] Step S430: Obtain the second compensation data according to the average value and the grayscale value corresponding to each pixel.

[0077] When the display panel to be tested is controlled to display a preset grayscale image, if the display panel to be tested has a Mura phenomenon, there is a deviation between the actual grayscale of each pixel in the captured image corresponding to the display image of the display panel to be tested and the preset grayscale, that is, there is a deviation between the actual grayscale of each pixel. In this embodiment, Demura compensation data, that is, the second Demura compensation data, can be determined in combination with the actual grayscale value of each pixel. Specifically, after obtaining the second captured image, the grayscale value corresponding to each pixel in the second captured image can be extracted, and then the average value of the grayscale value corresponding to each pixel is obtained, and finally the second Demura compensation data is obtained based on the average value of each pixel and the grayscale value corresponding to each pixel.

[0078] In this embodiment, the step of acquiring the first compensation data according to the first captured image in step S200 is the same as the step of acquiring the second compensation data according to the second captured image in step S400, and will not be described in detail herein.

[0079] Reference Figure 5 In one embodiment, step S430, i.e., the step of obtaining the second compensation data according to the average value and the gray value corresponding to each pixel point, comprises:

[0080] Step S431, respectively obtaining the ratio of the gray value corresponding to each pixel point to the average value;

[0081] Step S432, subtracting each ratio from a preset value to obtain each difference, and taking an absolute value of each difference;

[0082] Step S433: square each of the absolute values ​​to obtain the second compensation data.

[0083] The preset value may be 1, or other values ​​such as 2, 3, 4, etc., and those skilled in the art may set the preset value according to actual needs.

[0084] In one embodiment, the second compensation data includes compensation values ​​corresponding to each pixel in the second captured image. That is, each pixel has a corresponding Demura compensation value, and when the actual grayscale value of the pixel differs greatly from the target grayscale value, the Demura compensation value of the pixel is larger, and when the actual grayscale value of the pixel differs less from the target grayscale value, the Demura compensation value of the pixel is smaller.

[0085] In a specific example, taking a pixel matrix of 3 rows and 10 columns as an example, the actual grayscale values ​​corresponding to each pixel are:

[0086]

[0087]

[0088] The average grayscale value corresponding to each pixel is 3.245884.

[0089] The ratios of the grayscale value corresponding to each pixel to the average value are:

[0090] 1.0019 1.0019 0.9969 0.9768 0.9492 0.9492 1.0043 1.0059 1.0042 1.0189 0.9957 0.9957 0.9859 0.9768 0.9465 0.9464 1.0060 1.0195 1.0195 1.0194 0.9957 0.9957 0.9859 1.0019 0.9606 0.9956 1.0179 1.0365 1.0364 1.0364 0.9957 0.9957 1.0231 1.0405 0.9957 0.9956 1.0042 1.0179 1.0334 1.0364 1.0142 1.0142 1.0364 1.0405 1.0064 1.0022 0.9956 1.0041 0.9799 0.8851

[0091] Subtract the above ratios from 1 to get the difference, and take the absolute value of each difference to get the following data:

[0092] 0.0019 0.0019 0.0031 0.0232 0.0508 0.0508 0.0043 0.0059 0.0042 0.0189 0.0043 0.0043 0.0141 0.0232 0.0535 0.0536 0.0060 0.0195 0.0195 0.0194 0.0043 0.0043 0.0141 0.0019 0.0394 0.0044 0.0179 0.0365 0.0364 0.0364 0.0043 0.0043 0.0231 0.0405 0.0043 0.0044 0.0042 0.0179 0.0334 0.0364 0.0142 0.0142 0.0364 0.0405 0.0064 0.0022 0.0044 0.0041 0.0201 0.1149

[0093] Take the square of the above absolute values ​​to get the Demura compensation value corresponding to each pixel:

[0094] 0.0000 0.0000 0.0000 0.0005 0.0026 0.0026 0.0000 0.0000 0.0000 0.0004 0.0000 0.0000 0.0002 0.0005 0.0029 0.0029 0.0000 0.0004 0.0004 0.0004 0.0000 0.0000 0.0002 0.0000 0.0016 0.0000 0.0003 0.0013 0.0013 0.0013 0.0000 0.0000 0.0005 0.0016 0.0000 0.0000 0.0000 0.0003 0.0011 0.0013 0.0002 0.0002 0.0013 0.0016 0.0000 0.0000 0.0000 0.0000 0.0004 0.0132

[0095] Step S500, namely the step of evaluating the compensation effect of the panel to be tested according to the second compensation data, includes: determining the least noticeable difference of the display panel to be tested after compensation according to the compensation value corresponding to each pixel point.

[0096] Specifically, the Mura degree of the display panel to be tested after Demura compensation can be determined according to the Demura compensation value corresponding to each pixel point. For example, for a compensation depth of 5 bits, when the Demura compensation value corresponding to the regional pixel points in the display panel to be tested is between 0-±3 bits, the Mura degree is 2.1 JND (Just Noticeable Difference, minimum visual difference); when the Demura compensation value corresponding to the regional pixel points in the display panel to be tested is between ±3 bits and ±4 bits, the Mura degree is 2.1+JND; when the Demura compensation value corresponding to the regional pixel points in the display panel to be tested is between ±4 bits and ±5 bits, the Mura degree is 2.2 JND.

[0097] In one of the embodiments, step S500, namely the step of evaluating the compensation effect of the panel to be tested according to the second compensation data, further comprises: determining the Mura type of the display panel to be tested according to the spatial distribution of the compensation values ​​corresponding to each pixel.

[0098] In addition to the aforementioned method of determining the degree of Mura of the display panel to be tested after Demura compensation based on the Demura compensation value corresponding to each pixel, the type of Mura of the display panel to be tested can also be determined based on the Demura compensation value corresponding to each pixel. For example, when the Demura compensation value corresponding to each pixel is regionally distributed along the horizontal direction of the screen, the Mura type is G-direction Mura, when the Demura compensation value corresponding to each pixel is regionally distributed along the vertical direction of the screen, the Mura type is S-direction Mura, and when the Demura compensation value corresponding to each pixel is distributed in a cluster, the Mura type is clustered Mura.

[0099] Reference Figure 6 In a specific example, according to the size and spatial distribution of the Demura compensation value corresponding to each pixel point, it can be determined that the Mura type of the display panel to be tested after Demura compensation is S dark Mura, and the Mura degree is 2.2 JND.

[0100] Based on the same inventive concept, another embodiment of the present application further provides a device for implementing the above-mentioned display panel evaluation method. The implementation scheme for solving the problem provided by the display panel evaluation device is similar to the implementation scheme recorded in the above-mentioned method, so the specific limitations in one or more device embodiments provided below can refer to the limitations of the display panel evaluation method above, and will not be repeated here.

[0101] Reference Figure 7The display panel evaluation device provided in this embodiment includes a first acquisition module 100, a second acquisition module 200, a third acquisition module 300, a fourth acquisition module 400 and an evaluation module 500. Among them:

[0102] A first acquisition module 100 is used to acquire a first captured image, where the first captured image is display screen data after the display panel to be tested is illuminated;

[0103] A second acquisition module 200, configured to acquire first compensation data according to the first captured image, and compensate the display panel to be tested based on the first compensation data;

[0104] A third acquisition module 300 is used to acquire a second captured image, where the second captured image is display screen data after the display panel to be tested is illuminated after compensation;

[0105] A fourth acquisition module 400, configured to acquire second compensation data according to the second captured image;

[0106] The evaluation module 500 is used to evaluate the compensation effect of the panel to be tested according to the second compensation data.

[0107] The display panel evaluation device provided in this embodiment can light up the compensated display panel to be tested again and obtain a second captured image after compensating the display panel to be tested, obtain second compensation data based on the second captured image, and evaluate the compensation effect of the display panel to be tested based on the second compensation data. Compared with the method of evaluating the compensation effect of the display panel to be tested by artificial naked eyes in the traditional technology, in this embodiment, after compensating the display panel to be tested, a second captured image corresponding to the display screen of the compensated display panel to be tested is obtained, and second compensation data can be obtained based on the second captured image, and then the compensation effect of the display panel to be tested can be evaluated based on the second compensation data, which is more efficient and has higher evaluation accuracy.

[0108] In one embodiment, the first acquisition module 100 may be configured as follows:

[0109] Controlling the display panel to be tested to display a preset grayscale image;

[0110] The preset grayscale picture displayed by the display panel to be tested is photographed by a photographing device to obtain the first photographed image.

[0111] In one embodiment, the third acquisition module 300 may be configured as follows:

[0112] Controlling the compensated display panel to be tested to display the preset grayscale picture;

[0113] The preset grayscale picture displayed by the display panel to be tested after compensation is photographed by a photographing device to obtain the second photographed image.

[0114] In one embodiment, the fourth acquisition module 400 may be configured as follows:

[0115] Extracting the grayscale value corresponding to each pixel in the second captured image;

[0116] Get the average value of the grayscale value corresponding to each pixel;

[0117] The second compensation data is obtained according to the average value and the grayscale value corresponding to each pixel.

[0118] In one embodiment, the fourth acquisition module 400 may be further configured as follows:

[0119] Respectively obtaining the ratio of the grayscale value corresponding to each of the pixel points to the average value;

[0120] Subtracting each ratio from a preset value to obtain each difference, and taking an absolute value of each difference;

[0121] The second compensation data is obtained by squaring each of the absolute values.

[0122] In one embodiment, the second compensation data includes compensation values ​​corresponding to each pixel in the second captured image; the evaluation module 500 can be configured to: determine the minimum noticeable difference of the display panel to be tested after compensation according to the compensation values ​​corresponding to each pixel.

[0123] In one embodiment, the evaluation module 500 may be further configured to: determine the Mura type of the display panel to be tested according to the spatial distribution of the compensation value corresponding to each pixel point.

[0124] Each module in the above display panel evaluation device can be implemented in whole or in part by software, hardware, or a combination thereof. Each module can be embedded in or independent of a processor in a computer device in the form of hardware, or can be stored in a memory in a computer device in the form of software, so that the processor can call and execute operations corresponding to each module.

[0125] In one embodiment, an electronic device is provided, including a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps in the above-mentioned method embodiments when executing the computer program.

[0126] Figure 8 A schematic diagram of the structure of an electronic device provided in an embodiment of the present application. The electronic device may be a server, and its internal structure diagram may be as follows: Figure 8As shown. The electronic device includes a processor, a memory and a network interface connected through a system bus. Among them, the processor of the electronic device is used to provide computing and control capabilities. The memory of the electronic device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the electronic device is used to store various types of data involved in the evaluation method of the display panel. The network interface of the electronic device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a display panel evaluation method is implemented.

[0127] Those skilled in the art will understand that Figure 8 The structure shown in the figure is merely a block diagram of a partial structure related to the scheme of the present application, and does not constitute a limitation on the electronic device to which the scheme of the present application is applied. The specific electronic device may include more or fewer components than shown in the figure, or combine certain components, or have a different arrangement of components.

[0128] In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments are implemented.

[0129] Those of ordinary skill in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include at least one of non-volatile and volatile memory. Non-volatile memory can include read-only memory (ROM), magnetic tape, floppy disk, flash memory or optical memory, etc. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM).

[0130] The technical features of the above-described embodiments may be arbitrarily combined. To make the description concise, not all possible combinations of the technical features in the above-described embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0131] The above-described embodiments only express several implementation methods of the present application, and the descriptions thereof are relatively specific and detailed, but they cannot be construed as limiting the scope of the patent. It should be noted that, for a person of ordinary skill in the art, several modifications and improvements can be made without departing from the concept of the present application, and these all belong to the protection scope of the present application. Therefore, the protection scope of the present application shall be subject to the attached claims.

Claims

1. A method for evaluating a display panel, characterized in that: include: Acquire a first captured image, where the first captured image is display screen data after the display panel to be tested is illuminated; acquiring first compensation data according to the first captured image, and compensating the display panel to be tested based on the first compensation data; Acquire a second captured image, where the second captured image is display screen data after the display panel to be tested is illuminated after compensation; acquiring second compensation data according to the second captured image; The compensation effect of the panel to be tested is evaluated according to the second compensation data.

2. The display panel evaluation method according to claim 1, characterized in that: The step of acquiring the first captured image comprises: Controlling the display panel to be tested to display a preset grayscale image; The preset grayscale picture displayed by the display panel to be tested is photographed by a photographing device to obtain the first photographed image.

3. The display panel evaluation method according to claim 2, characterized in that: The step of acquiring the second captured image comprises: Controlling the compensated display panel to be tested to display the preset grayscale picture; The preset grayscale picture displayed by the display panel to be tested after compensation is photographed by a photographing device to obtain the second photographed image.

4. The display panel evaluation method according to claim 1, characterized in that: The step of acquiring second compensation data according to the second captured image comprises: Extracting the grayscale value corresponding to each pixel in the second captured image; Get the average value of the grayscale value corresponding to each pixel; The second compensation data is obtained according to the average value and the grayscale value corresponding to each pixel.

5. The display panel evaluation method according to claim 4, characterized in that: The step of acquiring the second compensation data according to the average value and the grayscale value corresponding to each pixel point comprises: Respectively obtaining the ratio of the grayscale value corresponding to each of the pixel points to the average value; Subtracting each ratio from a preset value to obtain each difference, and taking an absolute value of each difference; The second compensation data is obtained by squaring each of the absolute values.

6. The display panel evaluation method according to claim 1, characterized in that: The second compensation data includes a compensation value corresponding to each pixel point in the second captured image; The step of evaluating the compensation effect of the panel to be tested according to the second compensation data includes: determining the minimum noticeable difference of the display panel to be tested after compensation according to the compensation value corresponding to each pixel point.

7. The display panel evaluation method according to claim 6, characterized in that: The step of evaluating the compensation effect of the panel to be tested according to the second compensation data further includes: determining the Mura type of the display panel to be tested according to the spatial distribution of the compensation values ​​corresponding to each pixel point.

8. A display panel evaluation device, characterized in that: include: A first acquisition module, used to acquire a first captured image, where the first captured image is display screen data after the display panel to be tested is illuminated; a second acquisition module, configured to acquire first compensation data according to the first captured image, and compensate the display panel to be tested based on the first compensation data; A third acquisition module is used to acquire a second captured image, where the second captured image is display screen data after the display panel to be tested is illuminated after compensation; a fourth acquisition module, configured to acquire second compensation data according to the second captured image; An evaluation module is used to evaluate the compensation effect of the panel to be tested according to the second compensation data.

9. An electronic device, characterized in that: include: A memory, a processor, and a computer program stored in the memory and executable on the processor, wherein when the computer program is executed by the processor, the display panel evaluation method according to any one of claims 1 to 7 is implemented.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, and when the computer program is executed by a processor, the display panel evaluation method according to any one of claims 1 to 7 is implemented.

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