A display panel image quality testing method and device

Abstract

The present invention discloses a display panel image quality testing method and device, which relate to the technical field of display panel image quality testing. The main purpose is to improve the richness of data required for display panel image quality testing while improving the efficiency of display panel image quality testing. The main technical scheme includes: displaying N image frames in sequence in a display panel; each time an image frame is displayed, collecting grayscale values ​​corresponding to M target pixel coordinates in the currently displayed image frame, wherein M and N are different positive integers; based on the collected grayscale values ​​and target data corresponding to the grayscale values, generating display panel image quality test data, wherein the target data is the collection time point and / or target pixel coordinates corresponding to the grayscale value.

Description

Technical Field

[0001] The present invention relates to the technical field of display panel image quality testing, and in particular to a display panel image quality testing method and device. Background Art

[0002] With the continuous development of display technology, liquid crystal display panels have been widely used in various electronic products such as mobile phones, televisions, and portable computers due to their advantages such as high image quality and light weight.

[0003] In order to meet the user's requirements for the image quality of the display panel, it is necessary to perform image quality testing on the display panel during the production process of the display panel, so as to improve the image quality of the display panel based on the image quality test results. When testing the image quality of the display panel, it is necessary to locate the position of poor image quality, so as to analyze the cause of the poor quality based on the poor position. At present, the location of the poor position data of the display panel is completely completed by the tester watching the image frame displayed in the display panel. This method, limited by the subjective experience of the tester, results in a low richness of the data required for the display panel image quality test, and causes low efficiency of the display panel image quality test. Summary of the invention

[0004] In view of this, the present invention proposes a display panel image quality testing method and device, the main purpose of which is to improve the richness of data required for the display panel image quality testing while improving the efficiency of the display panel image quality testing.

[0005] In a first aspect, the present invention provides a display panel image quality testing method, the method comprising:

[0006] Displaying N image frames in sequence on the display panel;

[0007] Each time an image frame is displayed, grayscale values ​​corresponding to the coordinates of M target pixels in the currently displayed image frame are collected, where M and N are both positive integers, and M and N are not 1 at the same time;

[0008] Based on the collected grayscale values ​​and target data corresponding to the grayscale values, display panel image quality test data is generated, wherein the target data is a collection time point and / or target pixel coordinates corresponding to the grayscale values.

[0009] In a second aspect, the present invention provides a display panel image quality testing device, the device comprising:

[0010] A display unit, used to display N image frames in sequence on a display panel;

[0011] An acquisition unit, for acquiring grayscale values ​​corresponding to M target pixel coordinates in the currently displayed image frame each time an image frame is displayed, wherein M and N are both positive integers, and M and N are not 1 at the same time;

[0012] The generating unit is used to generate display panel image quality test data based on the collected grayscale values ​​and target data corresponding to the grayscale values, wherein the target data is a collection time point and / or target pixel coordinates corresponding to the grayscale values.

[0013] In a third aspect, the present invention provides a computer-readable storage medium, wherein the storage medium includes a stored program, wherein when the program is run, the device where the storage medium is located is controlled to execute the display panel image quality testing method described in the first aspect.

[0014] In a fourth aspect, the present invention provides an electronic device, the electronic device comprising:

[0015] Memory, used to store programs;

[0016] A processor is coupled to the memory and is used to run the program to execute the display panel image quality testing method described in the first aspect.

[0017] By means of the above technical scheme, the display panel image quality test method and device provided by the present invention, when there is a demand for image quality test for any display panel, N image frames are sequentially displayed in the display panel. Each time an image frame is displayed, the grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame are collected, wherein, in order to improve the richness of the data required for the display panel image quality test, M and N are not 1 at the same time. Then, based on the collected grayscale values ​​and the target data corresponding to the grayscale values, the display panel image quality test data is generated, where the target data is the acquisition time point and / or the target pixel coordinates corresponding to the grayscale value. It can be seen that the scheme provided by the present invention covers the scene of using static pictures and dynamic pictures to test the image quality of the display panel, and rich data can be collected in various scenes to test the image quality of the display panel. For static pictures, that is, a single image frame is displayed on the display panel, and the grayscale values ​​corresponding to multiple pixel coordinates in the image frame can be collected. For dynamic pictures, that is, multiple image frames are sequentially displayed on the display panel, and when each image frame is displayed, the grayscale values ​​corresponding to one or more pixel coordinates in the image frame can be collected. Therefore, the scheme provided by the present invention can improve the richness of the data required for the display panel image quality test. In addition, since the richness of the collected data required for the display panel image quality test is relatively high, the grayscale value changes of the display panel at multiple time points and / or multiple pixel coordinates can be analyzed in one collection, so the scheme provided by the present invention can also improve the efficiency of the display panel image quality test.

[0018] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention, it can be implemented according to the contents of the specification. In order to make the above and other purposes, features and advantages of the present invention more obvious and easy to understand, the specific implementation methods of the present invention are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0020] Figure 1 A flow chart of a display panel image quality testing method provided by an embodiment of the present invention is shown;

[0021] Figure 2 A schematic diagram of an image frame provided by an embodiment of the present invention is shown;

[0022] Figure 3 A schematic diagram of an image frame provided by another embodiment of the present invention is shown;

[0023] Figure 4 A schematic diagram of an image frame provided by yet another embodiment of the present invention is shown;

[0024] Figure 5 A schematic diagram showing a relationship curve between a grayscale value and time provided by an embodiment of the present invention;

[0025] Figure 6 A schematic diagram showing a relationship curve between a grayscale value and a pixel coordinate provided by an embodiment of the present invention;

[0026] Figure 7 A flow chart of a display panel image quality testing method provided by another embodiment of the present invention is shown;

[0027] Figure 8 A schematic diagram showing a relationship curve between a grayscale value and time provided by another embodiment of the present invention;

[0028] Fig. 9 A schematic structural diagram of a display panel image quality testing device provided by an embodiment of the present invention is shown;

[0029] Fig.10 A schematic structural diagram of a display panel image quality testing device provided by another embodiment of the present invention is shown. DETAILED DESCRIPTION

[0030] The exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although the exemplary embodiments of the present disclosure are shown in the accompanying drawings, it should be understood that the present disclosure can be implemented in various forms and should not be limited by the embodiments set forth herein. On the contrary, these embodiments are provided in order to enable a more thorough understanding of the present disclosure and to fully convey the scope of the present disclosure to those skilled in the art.

[0031] like Figure 1 As shown, an embodiment of the present invention provides a display panel image quality testing method, the method mainly includes:

[0032] 101. Display N image frames in sequence on a display panel.

[0033] The display panel described here is a display panel that needs to be tested for image quality, and this embodiment does not limit the type of the display panel.

[0034] The image frame is an image frame used for display panel image quality testing, which may belong to the same picture. The number of image frames may be determined based on business needs, and this embodiment does not specifically limit this. Exemplarily, N is a positive integer greater than or equal to 1. In addition, the type of image frame is not limited in this embodiment. Optionally, the image frame may be a pure grayscale image or a non-pure grayscale image.

[0035] After N image frames are selected, the image frames need to be displayed sequentially on the display panel. The definition of sequential display is that the image frames have a certain display order, and after one image frame is displayed, another image frame is displayed.

[0036] Methods for sequentially displaying N image frames on a display panel include the following two methods:

[0037] First, in order to test the image quality of the display panel under certain functions, the process of sequentially displaying N image frames in the display panel may be: turning on the target function of the display panel, and sequentially displaying N image frames in the display panel with the target function.

[0038] The purpose of turning on the target function of the display panel is to test the image quality of the display panel under the target function. The purpose of sequentially displaying N image frames in a display panel with a target function is to collect the grayscale values ​​of the target pixel coordinates in each of the images displayed by the display panel, so as to use these values ​​to evaluate the image quality of the display panel under certain target functions. The collected grayscale value is the grayscale value of the pixel point located at the target pixel coordinate in the image frame.

[0039] The target function can be selected based on a specific test, which is a function related to image quality. Exemplarily, the target function is selected as the PQ function.

[0040] Second, in order to simply test the image quality of the display panel, the process of sequentially displaying N image frames on the display panel may be: turning off all image quality-related functions of the display panel, and then sequentially displaying N image frames on the display panel.

[0041] The purpose of turning off all image quality related functions of the display panel is to test the image quality of the display panel simply displaying image frames when no image quality related functions are turned on.

[0042] The use logic of the above two methods of sequentially displaying N image frames in a display panel can be: first use the first method to sequentially display N image frames in a display panel, and each time an image frame is displayed, the grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame are collected, and the display panel image quality test data is generated based on the collected grayscale values ​​and the target data corresponding to the grayscale values. If the generated display panel image quality test data obtains an abnormal image quality result, at this time, the second method can be used again to sequentially display N image frames in the display panel, and each time an image frame is displayed, the grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame are collected, and the display panel image quality test data is generated based on the collected grayscale values ​​and the target data corresponding to the grayscale values. Through the display panel image quality test data corresponding to the second method, it is determined whether the image quality abnormality obtained by the display panel image quality test data corresponding to the first method is caused by the target function turned on by the first method. For example, the image quality abnormality obtained by the display panel image quality test data corresponding to the first method does not exist in the display panel image quality test data corresponding to the second method, which means that the image quality abnormality is most likely caused by the target function.

[0043] 102. Each time an image frame is displayed, grayscale values ​​corresponding to M target pixel coordinates in the currently displayed image frame are collected, wherein M and N are both positive integers, and M and N are not 1 at the same time.

[0044] In this embodiment, in order to meet various display panel image quality testing requirements and improve the richness of data required for display panel image quality testing, the concepts of time domain and spatial domain are introduced when collecting grayscale values ​​required for locating poor image quality of the display panel. That is, the grayscale values ​​corresponding to specific pixel coordinates in the image frame are collected by combining the two factors of time domain and spatial domain.

[0045] The time domain is defined for the grayscale value acquisition time. In practical applications, N image frames are displayed sequentially on the display panel, so each image frame has its own display time, and the display time of each image frame is different. The N image frames displayed sequentially provide time differences for the acquisition of grayscale values ​​required for the display panel image quality test.

[0046] Spatial domain refers to the target pixel coordinates in the image frame. In practical applications, when an image frame is displayed on a display panel, each pixel of the image frame has its own corresponding pixel coordinates. The pixel coordinates provide positional differences for the acquisition of grayscale values ​​required for display panel image quality testing.

[0047] In view of the introduction of the above-mentioned time domain and space domain, each time an image frame is displayed, the acquisition scenarios of the grayscale values ​​corresponding to the coordinates of M target pixels in the currently displayed image frame are acquired, including the following:

[0048] The first one is single location, multiple times.

[0049] Single position refers to the acquisition of grayscale values ​​of the same target pixel coordinates in multiple image frames. Multiple times refers to the need to acquire the target pixel coordinates in multiple image frames displayed continuously. Therefore, "single position, multiple times" is defined as the acquisition of the grayscale values ​​corresponding to the same target pixel coordinates in each of multiple image frames displayed continuously. In the "single position, multiple times" scenario, N is multiple and M is one.

[0050] In the "single position, multiple times" scenario, each time an image frame is displayed, the specific process of collecting the grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame includes the following steps A1 to A2:

[0051] A1. When displaying the first image frame among N image frames, the pixel coordinates corresponding to the cursor position in the currently displayed image frame are determined as target pixel coordinates, and the grayscale value corresponding to the target pixel coordinates in the currently displayed image frame is collected, wherein the cursor position is the resting position of the cursor point in the currently displayed image frame.

[0052] When the first image frame among N image frames is displayed on the display panel, the cursor point will stay at a position in the first image frame currently displayed based on the positioning requirements, and the pixel coordinates corresponding to the position where it stays are the target pixel coordinates. The target pixel coordinates are not only the pixel coordinates used by the first image frame but also the target pixel coordinates used by the remaining image frames among the N image frames. In this way, the image quality of the display panel can be tested by the grayscale value corresponding to the same pixel coordinates of each image frame in the N image frames displayed continuously.

[0053] The stay of the cursor point in the image frame is determined based on specific test requirements. For example, when the first image frame is displayed, the tester observes that there is an abnormal image quality position, and the cursor point moves to the abnormal image quality position under the control of the tester and stays there.

[0054] In practical applications, the form of the cursor point can be determined based on business requirements. For example, the cursor point is as follows Figure 2The cross cursor point is shown. In order to enable the tester to intuitively view the position of the cursor point, the coordinates of the cursor point are displayed at the position of the cursor point. The coordinates are in the following two forms: one is the coordinates in the XY coordinate system, for example, the target pixel coordinates are (X=a, Y=b), where a and b are based on the specific pixel coordinates, which is only a schematic diagram here. The other is the RGB value, for example, the target pixel coordinates are (R=e, G=f, B=g), where e, f and g are based on the specific pixel coordinates, which is only a schematic diagram here. Exemplary, as Figure 2 As shown, the coordinate format of the cursor point displayed at the position of the cursor point is (X=1000, Y=700).

[0055] After determining the target pixel coordinates, the grayscale value corresponding to the target pixel coordinates in the currently displayed image frame, that is, the first image frame, is collected. It should be noted that the collected grayscale value has a corresponding collection time point, and the collection time point is a time point within the time period displayed by the currently displayed image frame, which can be the display time point corresponding to the start of display of the currently displayed image frame, or any time point after the display time point.

[0056] A2. When displaying the remaining image frames among the N image frames, grayscale values ​​corresponding to the coordinates of the target pixel in the currently displayed image frame are collected.

[0057] After the first image frame is displayed and the grayscale value corresponding to the target pixel coordinates in the first image frame is collected, the display of the first image frame is terminated, and then the remaining image frames in the N image frames are displayed in sequence. For the remaining images, each time an image frame is displayed, the grayscale value corresponding to the target pixel coordinates in the currently displayed image frame is collected. It can be seen that the collected grayscale values ​​are the grayscale values ​​corresponding to the same pixel coordinates in each of the N image frames displayed continuously. Therefore, the image quality of the display panel can be tested by the change of the grayscale value of the same pixel coordinate in the N image frames displayed continuously to determine whether the pixel corresponding to the target pixel coordinate is a pixel with abnormal image quality. It should be noted that for any currently displayed image frame, the collected grayscale value has a corresponding collection time point, and the collection time point is a time point within the time period displayed by the currently displayed image frame, which can be the display time point corresponding to the start of the display of the currently displayed image frame, or it can be any time point after the display time point.

[0058] For example, Figure 2 As shown, Figure 2 There are three image frames: image frame 1, image frame 2 and image frame 3. Figure 2, which illustrate the display states of the three image frames. The display order of each image frame in the display panel is image frame 1, image frame 2 and image frame 3. When displaying image frame 1, the pixel coordinate A of the cursor position corresponding to the cursor point in image frame 1 is determined as the target pixel coordinate, and the grayscale value 1 corresponding to the pixel coordinate A (X=1000, Y=700) in image frame 1 is collected, and the collection time point corresponding to the grayscale value 1 is time point 1. After collecting the grayscale value 1 corresponding to the pixel coordinate A in image frame 1, the display of image frame 1 ends, and the display of image frame 2 begins. When displaying image frame 2, the pixel coordinate A (X=1000, Y=700) of the cursor position corresponding to the cursor point in image frame 2 is determined as the target pixel coordinate, and the grayscale value 2 corresponding to the pixel coordinate A in image frame 2 is collected, and the collection time point corresponding to the grayscale value 2 is time point 2. After collecting the grayscale value 2 corresponding to the pixel coordinate A in image frame 2, the display of image frame 2 ends, and the display of image frame 3 begins. When displaying image frame 3, the pixel coordinate A (X=1000, Y=700) of the cursor position corresponding to the cursor point in image frame 3 is determined as the target pixel coordinate, and the grayscale value 3 corresponding to the pixel coordinate A in image frame 3 is collected, and the collection time point corresponding to the grayscale value 3 is time point 3. Figure 2 It can be seen that the collected grayscale values ​​are grayscale values ​​corresponding to the same pixel coordinates of each image frame in the N image frames displayed continuously.

[0059] The second type is multiple locations and multiple times.

[0060] Multiple positions refer to the acquisition of grayscale values ​​of multiple target pixel coordinates in an image frame. Multiple times refer to the acquisition of target pixel coordinates in multiple image frames displayed continuously. Therefore, "multiple positions, multiple times" is defined as the acquisition of grayscale values ​​of multiple target pixel coordinates in each of multiple image frames displayed continuously. In the "multiple positions, multiple times" scenario, N is multiple and M is multiple.

[0061] In the "multiple positions, multiple times" scenario, each time an image frame is displayed, the specific process of collecting the grayscale values ​​corresponding to the coordinates of M target pixels in the currently displayed image frame includes the following steps B1 to B2:

[0062] B1. When displaying the first image frame among N image frames, the pixel coordinates corresponding to the cursor position in the currently displayed image frame are determined as the first pixel coordinates, M target pixel coordinates are selected from the currently displayed image frame based on the first pixel coordinates, and the grayscale values ​​corresponding to the target pixel coordinates in the currently displayed image frame are collected, wherein the cursor position is the resting position of the cursor point in the currently displayed image frame, and M is greater than 1.

[0063] When the first image frame among N image frames is displayed on the display panel, the cursor point will stay at a position in the first image frame currently displayed based on the positioning requirements, and the position where it stays is the first pixel coordinate. The stay of the cursor point in the image frame is based on the specific test requirements. For example, when the first image frame is displayed, the tester observes that there is an abnormal image quality position, and the cursor point moves to the abnormal image quality position under the control of the tester and stays. It can be seen that the pixel point corresponding to the first pixel coordinate is most likely an abnormal image quality pixel point, so the pixel point corresponding to the pixel coordinate that is closer to it may also be abnormal, so the first pixel coordinate is determined as the basis for selecting the target pixel coordinate.

[0064] The specific process of selecting M target pixel coordinates from the first image frame based on the first pixel coordinate may include: selecting at least one of the following as the M target pixel coordinates: the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same row as the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same column as the first pixel coordinate, and at least one pixel coordinate in the currently displayed image frame that has a preset distance relationship with the first pixel coordinate.

[0065] For example, Figure 3 As shown, Figure 3 The pixel coordinate A (X=1000, Y=700) in is the first pixel coordinate, and the pixel coordinate A and k pixel coordinates located in the same row as the pixel coordinate are selected as the target pixel coordinate.

[0066] The target pixel coordinates are not only the pixel coordinates used by the first image frame but also the target pixel coordinates used by the remaining image frames in the N image frames. In this way, the image quality of the display panel can be tested by the grayscale values ​​corresponding to the same multiple pixel coordinates of each image frame in the N continuously displayed image frames.

[0067] After determining the target pixel coordinates, the grayscale values ​​corresponding to the multiple target pixel coordinates in the currently displayed image frame, that is, the first image frame, are collected. It should be noted that the collected grayscale values ​​have a corresponding collection time point, and the collection time point is a time point within the time period displayed by the currently displayed image frame, which can be the display time point corresponding to the start of display of the currently displayed image frame, or any time point after the display time point.

[0068] B2. When displaying the remaining image frames among the N image frames, the grayscale value corresponding to the coordinates of the target pixel in the currently displayed image frame is collected.

[0069] After the first image frame is displayed and the grayscale values ​​corresponding to the coordinates of each target pixel in the first image frame are collected, the display of the first image frame is terminated, and then the remaining image frames in the N image frames are displayed in sequence. For the remaining image frames, each time an image frame is displayed, the grayscale values ​​corresponding to the coordinates of each target pixel in the currently displayed image frame are collected. It can be seen that the collected grayscale values ​​are the grayscale values ​​corresponding to the same multiple pixel coordinates on the N image frames displayed continuously. Therefore, the image quality of the display panel can be tested by the change of the grayscale values ​​corresponding to the multiple pixel coordinates in the N image frames displayed continuously to determine whether the pixel points corresponding to the multiple pixel coordinates are pixel points with abnormal image quality. It should be noted that for any currently displayed image frame, the collected grayscale value has a corresponding collection time point, and the collection time point is a time point within the time period displayed by the currently displayed image frame, which can be the display time point corresponding to the start of the display of the currently displayed image frame, or it can be any time point after the display time point.

[0070] For example, Figure 3 As shown, Figure 3 There are three image frames: image frame 1, image frame 2 and image frame 3. Figure 3 The figure shows the display states of the three image frames. The display order of each image frame in the display panel is image frame 1, image frame 2 and image frame 3. When displaying image frame 1, the pixel coordinate A of the cursor position corresponding to the cursor point in image frame 1 is determined as the first pixel coordinate, and the pixel coordinate A and the k pixel coordinates located in the same row as the pixel coordinate A are selected as the target pixel coordinates. The grayscale value corresponding to each target pixel coordinate in image frame 1 is acquired, and the acquisition time point corresponding to the grayscale value is the time point. After acquiring the grayscale value corresponding to each target pixel coordinate in image frame 1, the display of image frame 1 ends, and the display of image frame 2 begins. When displaying image frame 2, the grayscale value corresponding to each target pixel coordinate in image frame 2 is acquired, and the acquisition time point corresponding to the grayscale value is the time point. After acquiring the grayscale value corresponding to each target pixel coordinate in image frame 2, the display of image frame 2 ends, and the display of image frame 3 begins. When displaying image frame 3, the grayscale value corresponding to each target pixel coordinate in image frame 3 is acquired, and the acquisition time point corresponding to the grayscale value is the time point. Through Figure 3 It can be seen that the collected grayscale values ​​are grayscale values ​​corresponding to the same plurality of pixel coordinates on N consecutively displayed image frames.

[0071] The third type is multiple locations, single time.

[0072] Multiple positions refer to the acquisition of grayscale values ​​of multiple target pixel coordinates in an image frame. Single time refers to the acquisition of grayscale values ​​of target pixel coordinates in only one displayed image frame. Therefore, "multiple positions, single time" is defined as the acquisition of grayscale values ​​of multiple target pixel coordinates in a single image frame. In the "multiple positions, single time" scenario, N is one and M is multiple.

[0073] In the "multiple locations, single time" scenario, each time an image frame is displayed, the specific process of collecting the grayscale values ​​corresponding to the coordinates of M target pixels in the currently displayed image frame includes the following steps C1 to C2:

[0074] C1. When displaying an image frame, the pixel coordinates corresponding to the cursor position in the currently displayed image frame are determined as first pixel coordinates, and M target pixel coordinates are selected from the currently displayed image frame based on the first pixel coordinates. The cursor position is the resting position of the cursor point in the currently displayed image frame, and M is greater than 1.

[0075] The number of image frames is one. When the image frame is displayed on the display panel, the cursor point will stay at a position in the currently displayed image frame based on the positioning requirements, and the position where it stays is the first pixel coordinate. The stay of the cursor point in the image frame is based on the specific test requirements. For example, when the image frame is displayed, the tester observes that there is an abnormal image quality position, and the cursor point moves to the abnormal image quality position under the control of the tester and stays. It can be seen that the pixel point corresponding to the first pixel coordinate is most likely an abnormal image quality pixel point, so the pixel points that are closer to it may also have abnormalities, so the first pixel coordinate is determined as the basis for selecting the target pixel coordinate.

[0076] The specific process of selecting M target pixel coordinates from the image frame based on the first pixel coordinate may include: selecting at least one of the following as the M target pixel coordinates: the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same row as the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same column as the first pixel coordinate, and at least one pixel coordinate in the currently displayed image frame that has a preset distance relationship with the first pixel coordinate.

[0077] For example, Figure 4 As shown, Figure 4 The pixel coordinate A (X=1000, Y=700) in is the first pixel coordinate, and the pixel coordinate A and the k pixel coordinates located in the same row as the pixel coordinate A are selected as the target pixel coordinate.

[0078] C2. Collect the grayscale values ​​corresponding to the coordinates of M target pixels in the currently displayed image frame.

[0079] After determining the target pixel coordinates, grayscale values ​​corresponding to multiple target pixel coordinates in the image frame are collected. It should be noted that the collected grayscale values ​​have corresponding collection time points, which are time points within the time period displayed by the image frame, and can be the display time point corresponding to the start of display of the image frame, or any time point after the display time point.

[0080] For example, Figure 4 As shown, Figure 4 The image frame in the middle is displayed separately: image frame 1. Figure 4 4 shows the 4 display states of the 4 image frames. When displaying image frame 1, the pixel coordinate A of the cursor position corresponding to the cursor point in image frame 1 is determined as the first pixel coordinate, and the pixel coordinate A and the k pixel coordinates located in the same row as the pixel coordinate A are selected as the target pixel coordinates. The grayscale value corresponding to each target pixel coordinate in image frame 1 is collected, and the collection time point corresponding to the grayscale value is the time point.

[0081] 103. Generate display panel image quality test data based on the collected grayscale values ​​and target data corresponding to the grayscale values, wherein the target data is a collection time point and / or target pixel coordinates corresponding to the grayscale values.

[0082] Based on the collected grayscale values ​​and the target data corresponding to the grayscale values, the process of generating display panel image quality test data depends on the specific scenario, and therefore includes the following generation methods:

[0083] The first one is to collect the grayscale values ​​corresponding to the same target pixel coordinates in each of the multiple image frames displayed continuously in the "single position, multiple times" scenario. Therefore, the grayscale values ​​corresponding to the same target pixel coordinates at different time points are collected. Therefore, based on the collected grayscale values ​​and the target data corresponding to the grayscale values, the process of generating the display panel image quality test data is as follows: based on the collected grayscale values ​​and the collection time points corresponding to the grayscale values, a relationship curve between the grayscale value and time is drawn. Figure 5 As shown, Figure 5 It is a relationship curve between grayscale value and time, which represents the change of grayscale value corresponding to the same target pixel coordinate in the continuous display of multiple image frames.

[0084] The relationship curve between grayscale value and time indicates the change of grayscale value of the same target pixel coordinate under the time parameter. In principle, the grayscale value corresponding to the same target pixel coordinate in multiple image frames displayed continuously should be stable within a preset range. Once the grayscale value corresponding to a time point exceeds this preset range, it can be determined that the display panel image quality is abnormal, and the tester can perform corresponding abnormality elimination based on the abnormal grayscale value.

[0085] The second type is to collect the grayscale values ​​of multiple target pixel coordinates in each of the multiple image frames displayed continuously in the "multiple positions, multiple times" scenario. Therefore, what is collected are the grayscale values ​​corresponding to the same multiple target pixel coordinates at different time points. Therefore, based on the collected grayscale values ​​and the target data corresponding to the grayscale values, the display panel image quality test data is generated as follows: based on the collected grayscale values ​​and the collection time points corresponding to the grayscale values, a relationship curve between the grayscale value and the time is drawn, and, based on the collected grayscale values ​​and the target pixel coordinates corresponding to the grayscale values, a relationship curve between the grayscale value and the pixel coordinate is drawn.

[0086] The relationship curve between grayscale value and time represents the change of grayscale value of the same target pixel coordinate under the time parameter. In principle, for each target pixel coordinate, a relationship curve between grayscale value and time can be drawn based on its corresponding grayscale value and the time of grayscale value acquisition. In multiple image frames displayed continuously, the corresponding grayscale value of the same target pixel coordinate should be stable within a preset range. Once there is a time point where the corresponding grayscale value exceeds this preset range, it can be determined that the display panel image quality is abnormal, and the tester can perform corresponding abnormality elimination processing based on the abnormal situation of the grayscale value.

[0087] The relationship curve between grayscale value and pixel coordinates represents the change of grayscale value of the same multiple target pixel coordinates at the same time. In principle, for each time point, a relationship curve between grayscale value and pixel coordinates can be drawn based on the grayscale value corresponding to each target pixel coordinate at that time point and each target pixel coordinate. In an image frame displayed on the display panel, the grayscale values ​​corresponding to its multiple target pixel coordinates should be stable in a preset range. Once a grayscale value corresponding to a target pixel coordinate exceeds this preset range, it can be determined that the image quality of the display panel is abnormal, and the tester can perform corresponding abnormality elimination processing based on the abnormal situation of the grayscale value.

[0088] Figure 5 It is a relationship curve between grayscale value and time, which represents the change of grayscale value corresponding to the same target pixel coordinate in the continuous display of multiple image frames. Figure 6 It is a relationship curve between grayscale value and pixel coordinates, representing the grayscale value corresponding to each target pixel coordinate at the same time and the relationship between the grayscale value and pixel coordinate drawn by each target pixel coordinate.

[0089] The third method is to collect the grayscale values ​​of multiple target pixel coordinates in a single image frame in the "multiple positions, single time" scenario. Therefore, the grayscale values ​​corresponding to the multiple target pixel coordinates at the same time point are collected. Therefore, based on the collected grayscale values ​​and the target data corresponding to the grayscale values, the display panel image quality test data is generated as follows: based on the collected grayscale values ​​and the target pixel coordinates corresponding to the grayscale values, a relationship curve between the grayscale value and the pixel coordinate is drawn.

[0090] In an image frame displayed on the display panel, the grayscale values ​​corresponding to its multiple target pixel coordinates should be stable in a preset range. Once the grayscale value corresponding to a target pixel coordinate exceeds this preset range, it can be determined that the image quality of the display panel is abnormal. The tester can perform corresponding abnormality elimination processing based on the abnormal situation of the grayscale value.

[0091] The display panel image quality test method provided by the embodiment of the present invention, when there is a demand for image quality test for any display panel, displays N image frames in sequence in the display panel. Each time an image frame is displayed, the grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame are collected, wherein, in order to improve the richness of the data required for the display panel image quality test, M and N are not 1 at the same time. Then, based on the collected grayscale values ​​and the target data corresponding to the grayscale values, the display panel image quality test data is generated, where the target data is the collection time point and / or the target pixel coordinates corresponding to the grayscale value. It can be seen that the scheme provided by the embodiment of the present invention covers the scene of using static pictures and dynamic pictures to test the image quality of the display panel, and rich data can be collected in various scenes to test the image quality of the display panel. For static pictures, that is, when a single image frame is displayed on the display panel, the grayscale values ​​corresponding to multiple pixel coordinates in the image frame can be collected. For dynamic pictures, that is, when multiple image frames are displayed in sequence on the display panel, when each image frame is displayed, the grayscale values ​​corresponding to one or more pixel coordinates in the image frame can be collected. Therefore, the scheme provided by the embodiment of the present invention can improve the richness of the data required for the display panel image quality test. In addition, since the data required for the display panel image quality test is collected with high richness, one collection can analyze the changes in the grayscale values ​​of the display panel at multiple time points and / or multiple pixel coordinates. Therefore, the solution provided by the present invention can also improve the efficiency of the display panel image quality test.

[0092] Further, according to Figure 1 Another embodiment of the present invention further provides a display panel image quality testing method, such as Figure 7 As shown, the method mainly includes:

[0093] 201. Display N image frames in sequence on a display panel.

[0094] 202. Each time an image frame is displayed, grayscale values ​​corresponding to M target pixel coordinates in the currently displayed image frame are collected, wherein M and N are both positive integers, and M and N are not 1 at the same time.

[0095] 203. Regularize the collected grayscale values.

[0096] The collected grayscale values ​​are used to generate display panel image quality test data. In order to avoid excessively fragmented data increasing the computing power cost required to generate display panel image quality test data, the collected grayscale values ​​need to be regularized.

[0097] For example, the collected grayscale value is 12 bits, and during the regularization process, the last 2 to 4 bits of the collected grayscale value are filled with 0s.

[0098] 204. Store the collected grayscale values ​​and target data corresponding to the grayscale values ​​to a target storage location.

[0099] In practical applications, in order to reduce the number of test times for display panel image quality testing, it is not necessary to collect grayscale values ​​once and then immediately perform display panel image quality testing data. Therefore, in order to meet this delay requirement, the collected grayscale values ​​and the target data corresponding to the grayscale values ​​need to be stored in the target storage location.

[0100] The target storage location is not specifically limited in this embodiment. For example, the target storage location is a synchronous dynamic random access memory SDRAM, and its storage capacity should be guaranteed to be able to store all collected data. For example, the SDRAM storage capacity is not less than 64*72 bits.

[0101] 205. When it is determined that the condition for generating display panel image quality test data is met, extract the collected grayscale value and the target data corresponding to the grayscale value from the target storage location.

[0102] There are two ways to determine whether the conditions for generating display panel image quality test data are met: first, when a request for generating display panel image quality test data is received, it is determined that the conditions for generating display panel image quality test data are met. Second, when it is determined that the current time point reaches a preset time point, it is determined that the conditions for generating display panel image quality test data are met.

[0103] When it is determined that the conditions for generating the display panel image quality test data are met, the collected grayscale values ​​and the target data corresponding to the grayscale values ​​are extracted from the target storage location for use in generating the display panel image quality test data.

[0104] 206. Generate display panel image quality test data based on the collected grayscale values ​​and target data corresponding to the grayscale values, wherein the target data is a collection time point and / or target pixel coordinates corresponding to the grayscale values.

[0105] In addition to the process described in step 103, the process of generating display panel image quality test data may also include the following process:

[0106] Two sets of data are obtained: the first set of data is the grayscale values ​​and target data corresponding to the grayscale values ​​collected after N image frames are displayed in sequence on the display panel with all image quality-related functions turned off. The second set of data is the grayscale values ​​and target data corresponding to the grayscale values ​​collected after N image frames are displayed in sequence on the display panel with the target function turned on. It should be noted that the N image frames used in the two sets of data are the same.

[0107] When generating the display panel image quality test data, the above two sets of data are compared to check whether the image quality abnormality of the display panel is caused by the target function or the display panel itself. For example, if the image quality abnormality obtained by the display panel image quality test data corresponding to the second set of data does not exist in the display panel image quality test data corresponding to the first set of data, it means that the image quality abnormality is most likely caused by the target function.

[0108] For example, Figure 8 As shown, curve 1 is the relationship curve between grayscale value and time in the "single position, multiple times" scenario, and the data acquisition condition corresponding to curve 1 is: turn off all image quality-related functions of the display panel, and display N image frames in sequence on the display panel. Curve 2 is the relationship curve between grayscale value and time in the "single position, multiple times" scenario, and the data acquisition condition corresponding to curve 2 is: turn on the target function of the display panel, and display N image frames in sequence on the display panel with the target function.

[0109] Further, according to the above method embodiment, another embodiment of the present invention also provides a display panel image quality testing device, such as Fig. 9 As shown, the device comprises:

[0110] A display unit 31, configured to sequentially display N image frames on a display panel;

[0111] The acquisition unit 32 is used for acquiring grayscale values ​​corresponding to M target pixel coordinates in the currently displayed image frame each time an image frame is displayed, wherein M and N are both positive integers, and M and N are not 1 at the same time;

[0112] The generating unit 33 is used to generate display panel image quality test data based on the collected grayscale values ​​and target data corresponding to the grayscale values, wherein the target data is a collection time point and / or target pixel coordinates corresponding to the grayscale values.

[0113] The display panel image quality test device provided by the embodiment of the present invention, when there is a demand for image quality test for any display panel, displays N image frames in sequence in the display panel. Each time an image frame is displayed, the grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame are collected, wherein, in order to improve the richness of the data required for the display panel image quality test, M and N are not 1 at the same time. Then, based on the collected grayscale values ​​and the target data corresponding to the grayscale values, the display panel image quality test data is generated, where the target data is the collection time point and / or the target pixel coordinates corresponding to the grayscale value. It can be seen that the scheme provided by the embodiment of the present invention covers the scene of using static pictures and dynamic pictures to test the image quality of the display panel, and rich data can be collected in various scenes to test the image quality of the display panel. For static pictures, that is, when a single image frame is displayed on the display panel, the grayscale values ​​corresponding to multiple pixel coordinates in the image frame can be collected. For dynamic pictures, that is, when multiple image frames are displayed in sequence on the display panel, when each image frame is displayed, the grayscale values ​​corresponding to one or more pixel coordinates in the image frame can be collected. Therefore, the scheme provided by the embodiment of the present invention can improve the richness of the data required for the display panel image quality test. In addition, since the data required for the display panel image quality test is collected with high richness, one collection can analyze the changes in the grayscale values ​​of the display panel at multiple time points and / or multiple pixel coordinates. Therefore, the solution provided by the present invention can also improve the efficiency of the display panel image quality test.

[0114] Optional, such as Fig.10 As shown, the acquisition unit 32 includes:

[0115] The first acquisition unit 321 is used for, when N is a plurality of, determining the pixel coordinates corresponding to the cursor position in the currently displayed image frame as a target pixel coordinate when displaying the first image frame of the N image frames, and acquiring the grayscale value corresponding to the target pixel coordinate in the currently displayed image frame, wherein the cursor position is the resting position of the cursor point in the currently displayed image frame;

[0116] The second acquisition unit 322 is used to acquire the grayscale value corresponding to the target pixel coordinate in the currently displayed image frame when displaying the remaining image frames in the N image frames.

[0117] Optional, such as Fig.10 As shown, the acquisition unit 32 includes:

[0118] The determining unit 323 is configured to, when N is one, determine the pixel coordinates corresponding to the cursor position in the currently displayed image frame as first pixel coordinates when displaying the image frame, and select the M target pixel coordinates from the currently displayed image frame based on the first pixel coordinates; wherein the cursor position is the resting position of the cursor point in the currently displayed image frame, and M is greater than 1;

[0119] The third acquisition unit 324 is used to acquire the grayscale value corresponding to each target pixel coordinate in the currently displayed image frame.

[0120] Optional, such as Fig.10 As shown, the third acquisition unit 324 is specifically used to select at least one of the following as the M target pixel coordinates: the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same row as the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same column as the first pixel coordinate, and at least one pixel coordinate in the currently displayed image frame that has a preset distance relationship with the first pixel coordinate.

[0121] Optional, such as Fig.10 As shown, the acquisition unit 32 includes:

[0122] The fourth acquisition unit 325 is used for, when N is a plurality of, when displaying the first image frame of the N image frames, determining the pixel coordinates corresponding to the cursor position in the currently displayed image frame as the first pixel coordinates, selecting the M target pixel coordinates from the currently displayed image frame based on the first pixel coordinates, and acquiring the grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame, wherein the cursor position is the stop position of the cursor point in the currently displayed image frame, and M is greater than 1;

[0123] The fifth acquisition unit 326 is used to acquire the grayscale value corresponding to the target pixel coordinate in the currently displayed image frame when displaying the remaining image frames in the N image frames.

[0124] Optional, such as Fig.10 As shown, the fourth acquisition unit 325 is specifically used to select at least one of the following as the M target pixel coordinates: the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same row as the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same column as the first pixel coordinate, and at least one pixel coordinate in the currently displayed image frame that has a preset distance relationship with the first pixel coordinate.

[0125] Optional, such as Fig.10 As shown, the generating unit 33 is specifically used to draw a relationship curve between the grayscale value and the time based on the collected grayscale value and the collection time point corresponding to the grayscale value, and / or,

[0126] Based on the collected grayscale values ​​and the target pixel coordinates corresponding to the grayscale values, a relationship curve between the grayscale values ​​and the pixel coordinates is drawn.

[0127] Optional, such as Fig.10As shown, the device also includes:

[0128] The storage unit 34 is used to store the collected grayscale values ​​and the target data corresponding to the grayscale values ​​to a target storage location;

[0129] An extraction unit 35, configured to extract the collected grayscale value and the target data corresponding to the grayscale value from the target storage location when it is determined that the condition for generating the display panel image quality test data is met;

[0130] Optional, such as Fig.10 As shown, the device also includes:

[0131] The processing unit 36 ​​is configured to process the collected grayscale values ​​regularly before the generating unit 33 generates the display panel image quality test data based on the collected grayscale values ​​and the target data corresponding to the grayscale values.

[0132] Optional, such as Fig.10 As shown, the display unit 31 is specifically used to enable the target function of the display panel; and sequentially display N image frames in the display panel having the target function.

[0133] In the display panel image quality testing device provided by the embodiment of the present invention, the detailed description of the method used in the operation process of each functional module can be found in Figure 1 and Figure 7 The corresponding method of the method embodiment is explained in detail and will not be repeated here.

[0134] Further, according to the above embodiment, another embodiment of the present invention further provides a computer-readable storage medium, wherein the storage medium includes a stored program, wherein when the program is running, the device where the storage medium is located is controlled to execute Figure 1 and Figure 7 The display panel image quality testing method.

[0135] Further, according to the above embodiment, another embodiment of the present invention further provides an electronic device, the electronic device comprising:

[0136] Memory, used to store programs;

[0137] A processor, coupled to the memory, configured to run the program to perform Figure 1 and Figure 7 The display panel image quality testing method.

[0138] In the above embodiments, the description of each embodiment has its own emphasis. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0139] It is understandable that the related features in the above methods and devices can be referenced to each other. In addition, the "first", "second" and the like in the above embodiments are used to distinguish the embodiments, but do not represent the advantages and disadvantages of the embodiments.

[0140] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0141] The algorithm and display provided herein are not inherently related to any particular computer, virtual system or other device. Various general purpose systems can also be used together with the teachings based on this. According to the above description, it is obvious that the structure required for constructing such systems. In addition, the present invention is not directed to any specific programming language either. It should be understood that various programming languages ​​can be utilized to realize the content of the present invention described herein, and the description of the above specific languages ​​is for disclosing the best mode of the present invention.

[0142] In the description provided herein, a large number of specific details are described. However, it is understood that embodiments of the present invention can be practiced without these specific details. In some instances, well-known methods, structures and techniques are not shown in detail so as not to obscure the understanding of this description.

[0143] In addition, those skilled in the art will appreciate that, although some embodiments described herein include certain features included in other embodiments but not other features, the combination of features of different embodiments is meant to be within the scope of the present invention and form different embodiments. For example, in the claims below, any one of the claimed embodiments may be used in any combination.

[0144] The various component embodiments of the present invention may be implemented in hardware, or in software modules running on one or more processors, or in a combination thereof. Those skilled in the art should understand that a microprocessor or digital signal processor (DSP) may be used in practice to implement some or all of the functions of some or all of the components in the operating method, device, and framework of the deep neural network model according to an embodiment of the present invention. The present invention may also be implemented as a device or apparatus program (e.g., a computer program and a computer program product) for executing part or all of the methods described herein. Such a program implementing the present invention may be stored on a computer-readable medium, or may be in the form of one or more signals. Such a signal may be downloaded from an Internet website, or provided on a carrier signal, or provided in any other form.

[0145] It should be noted that the above embodiments illustrate the present invention rather than limit it, and that those skilled in the art may devise alternative embodiments without departing from the scope of the appended claims. In the claims, any reference symbol between brackets shall not be construed as a limitation on the claims. The word "comprising" does not exclude the presence of elements or steps not listed in the claims. The word "one" or "an" preceding an element does not exclude the presence of a plurality of such elements. The present invention may be implemented by means of hardware comprising a number of different elements and by means of a suitably programmed computer. In a unit claim enumerating a number of devices, several of these devices may be embodied by the same hardware item. The use of the words first, second, and third, etc., does not indicate any order. These words may be interpreted as names.

Claims

1. A display panel image quality testing method, characterized in that: The method comprises: Displaying N image frames in sequence on the display panel; Each time an image frame is displayed, grayscale values ​​corresponding to the coordinates of M target pixels in the currently displayed image frame are collected, where M and N are both positive integers, and M and N are not 1 at the same time; Generate display panel image quality test data based on the collected grayscale values ​​and target data corresponding to the grayscale values, wherein the target data is a collection time point and / or target pixel coordinates corresponding to the grayscale values; Before generating display panel image quality test data based on the collected grayscale values ​​and the target data corresponding to the grayscale values, the method also includes: storing the collected grayscale values ​​and the target data corresponding to the grayscale values ​​to a target storage location; and extracting the collected grayscale values ​​and the target data corresponding to the grayscale values ​​from the target storage location when it is determined that the conditions for generating the display panel image quality test data are met.

2. The method according to claim 1, characterized in that When N is multiple, each time an image frame is displayed, the grayscale values ​​corresponding to the coordinates of the M target pixels in the currently displayed image frame are collected, including: When displaying the first image frame of the N image frames, determining the pixel coordinates corresponding to the cursor position in the currently displayed image frame as a target pixel coordinate, and acquiring the grayscale value corresponding to the target pixel coordinate in the currently displayed image frame, wherein the cursor position is the resting position of the cursor point in the currently displayed image frame; When displaying the remaining image frames among the N image frames, the grayscale value corresponding to the target pixel coordinate in the currently displayed image frame is collected.

3. The method according to claim 1, characterized in that When N is one, each time an image frame is displayed, the grayscale values ​​corresponding to the coordinates of M target pixels in the currently displayed image frame are collected, including: When displaying the image frame, determining the pixel coordinates corresponding to the cursor position in the currently displayed image frame as the first pixel coordinates, wherein the cursor position is the stop position of the cursor point in the currently displayed image frame; Selecting the M target pixel coordinates from the currently displayed image frame based on the first pixel coordinates, where M is greater than 1; The grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame are collected.

4. The method according to claim 1, characterized in that: When N is multiple, each time an image frame is displayed, the grayscale values ​​corresponding to the coordinates of the M target pixels in the currently displayed image frame are collected, including: When displaying the first image frame of the N image frames, determining the pixel coordinates corresponding to the cursor position in the currently displayed image frame as the first pixel coordinates, selecting the M target pixel coordinates from the currently displayed image frame based on the first pixel coordinates, and acquiring the grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame, wherein the cursor position is the stop position of the cursor point in the currently displayed image frame, and M is greater than 1; When the remaining image frames among the N image frames are displayed, the grayscale values ​​corresponding to the M target pixel coordinates in the currently displayed image frame are collected.

5. The method according to claim 3 or 4, characterized in that: Selecting the M target pixel coordinates from the currently displayed image frame based on the first pixel coordinates includes: At least one of the following is selected as the M target pixel coordinates: the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same row as the first pixel coordinate, at least one pixel coordinate in the currently displayed image frame that is located in the same column as the first pixel coordinate, and at least one pixel coordinate in the currently displayed image frame that has a preset distance relationship with the first pixel coordinate.

6. The method according to claim 1, characterized in that Based on the collected grayscale values ​​and the target data corresponding to the grayscale values, display panel image quality test data is generated, including: Based on the collected grayscale values ​​and the collection time points corresponding to the grayscale values, a relationship curve between the grayscale values ​​and the time is drawn, and / or, Based on the collected grayscale values ​​and the target pixel coordinates corresponding to the grayscale values, a relationship curve between the grayscale values ​​and the pixel coordinates is drawn.

7. The method according to any one of claims 1 to 4 and 6, characterized in that: Before generating display panel image quality test data based on the collected grayscale values ​​and target data corresponding to the grayscale values, the method further includes: Regularizing the collected grayscale values; and / or, N image frames are displayed in sequence on the display panel, including: Turning on a target function of the display panel; N image frames are displayed sequentially on a display panel having the target function.

8. A display panel image quality testing device, characterized in that: The device comprises: A display unit, used to display N image frames in sequence on a display panel; An acquisition unit, for acquiring grayscale values ​​corresponding to M target pixel coordinates in the currently displayed image frame each time an image frame is displayed, wherein M and N are both positive integers, and M and N are not 1 at the same time; A generating unit, configured to generate display panel image quality test data based on the collected grayscale values ​​and target data corresponding to the grayscale values, wherein the target data is a collection time point and / or target pixel coordinates corresponding to the grayscale values; The device also includes: A storage unit, used for storing the collected grayscale values ​​and the target data corresponding to the grayscale values ​​to a target storage location before the generation unit generates the display panel image quality test data based on the collected grayscale values ​​and the target data corresponding to the grayscale values; The extraction unit is used to extract the collected grayscale value and the target data corresponding to the grayscale value from the target storage location when it is determined that the condition for generating the display panel image quality test data is met.

9. A computer-readable storage medium, characterized in that: The storage medium includes a stored program, wherein when the program is executed, the device where the storage medium is located is controlled to execute the display panel image quality testing method according to any one of claims 1 to 7.

10. An electronic device, characterized in that: The electronic device comprises: Memory, used to store programs; A processor, coupled to the memory, is used to run the program to execute the display panel image quality testing method described in any one of claims 1 to 7.

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