Method and device for detecting gray scale transition performance of display panel and terminal equipment

Abstract

The invention provides a gray scale transition performance detection method and device of a display panel and terminal equipment. The method comprises the following steps: determining gray scale distribution of a preset gray scale transition image; the gray scale distribution comprises each gray scale value and a gray scale transition direction; dividing the display panel into a plurality of detection areas according to the physical size and gray scale distribution of the display panel; each detection area corresponds to one gray-scale value in the preset gray-scale transition image; performing brightness measurement on the display panel by using a surface scanning device to obtain a measured brightness value corresponding to each detection area; calculating a theoretical brightness value corresponding to each detection area based on each gray-scale value in the preset gray-scale transition image; and calculating a brightness difference value between the theoretical brightness value and the measured brightness value of the same detection area, and determining a gray scale transition performance detection result of the display panel according to the brightness difference value corresponding to each detection area. According to the method, the gray scale transition performance of the display panel can be accurately and efficiently determined.

Description

Technical Field

[0001] The present application relates to the field of display panel detection technology, and in particular to a method, apparatus, and terminal device for detecting grayscale transition performance of a display panel. Background Art

[0002] With the advancement of display panel technology, testing the grayscale transition performance of display panels has become extremely critical. Traditionally, technicians have typically determined the grayscale transition performance of display panels through visual observation. However, this method is not only inefficient, but also difficult to accurately quantify subtle differences in grayscale transitions due to the limitations of the human eye's perception of brightness and grayscale changes. As a result, different technicians, based on visual differences and subjective judgment, have different determinations, resulting in inaccurate test results.

[0003] Therefore, how to accurately and efficiently determine the grayscale transition performance of a display panel is a technical problem that those skilled in the art currently need to solve. Summary of the Invention

[0004] The purpose of this application is to provide a method, apparatus, terminal device, computer-readable storage medium and computer program product for detecting the grayscale transition performance of a display panel, aiming to accurately and efficiently determine the grayscale transition performance of a display panel.

[0005] In a first aspect, the present application provides a method for detecting grayscale transition performance of a display panel. The method comprises:

[0006] Determining a grayscale distribution of a preset grayscale transition image; the grayscale distribution includes grayscale values ​​and a grayscale transition direction; the preset grayscale transition image is an image in which the grayscale values ​​uniformly change along the grayscale transition direction;

[0007] Dividing the display panel into a plurality of detection areas according to the physical size of the display panel and the grayscale distribution; each of the detection areas corresponds to one of the grayscale values ​​in the preset grayscale transition image;

[0008] Measuring the brightness of the display panel using a surface scanning device to obtain a measured brightness value corresponding to each detection area;

[0009] Calculating theoretical brightness values ​​corresponding to the respective detection areas based on the respective grayscale values ​​in the preset grayscale transition image;

[0010] The brightness difference between the theoretical brightness value and the measured brightness value of the same detection area is calculated, and the grayscale transition performance detection result of the display panel is determined according to the brightness difference corresponding to each detection area.

[0011] In one embodiment, calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determining the grayscale transition performance test result of the display panel according to the brightness difference corresponding to each detection area, includes:

[0012] For each target detection area, obtaining a target theoretical brightness value and a target measured brightness value corresponding to the target detection area; the target detection area is any detection area among the multiple detection areas;

[0013] Calculating a target brightness difference between the target theoretical brightness value and the target measured brightness value;

[0014] Obtaining a target difference threshold, and determining whether the target brightness difference is less than or equal to the target difference threshold;

[0015] If the target brightness difference values ​​corresponding to the respective detection areas are all less than or equal to the target difference threshold value, it is determined that the grayscale transition performance of the display panel meets the preset requirements;

[0016] Otherwise, it is determined that the grayscale transition performance of the display panel does not meet the preset requirement.

[0017] In one embodiment, before obtaining the target difference threshold and determining whether the target brightness difference is less than or equal to the target difference threshold, the method further includes:

[0018] Dividing the grayscale intervals based on the grayscale values ​​in the preset grayscale transition image;

[0019] Setting a corresponding difference threshold for each grayscale interval;

[0020] The obtaining of the target difference threshold value includes:

[0021] Determining a target grayscale value corresponding to the target detection area, and obtaining a target grayscale interval to which the target grayscale value belongs;

[0022] A target difference threshold corresponding to the target grayscale interval is determined.

[0023] In one embodiment, dividing the display panel into a plurality of detection areas according to the physical size of the display panel and the grayscale distribution includes:

[0024] determining the physical size of the display panel;

[0025] Determining the grayscale number corresponding to each grayscale value in the preset grayscale transition image;

[0026] Based on the physical size, the display panel is evenly divided along the grayscale transition direction according to the grayscale number to obtain a plurality of detection areas.

[0027] In one embodiment, the calculating of the theoretical brightness values ​​corresponding to the respective detection areas based on the respective grayscale values ​​in the preset grayscale transition image includes:

[0028] For each grayscale value in the preset grayscale transition image, the grayscale value is input into a preset formula, and a theoretical brightness value corresponding to the grayscale value is output.

[0029] In one embodiment, before calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determining the grayscale transition performance test result of the display panel according to the brightness difference corresponding to each detection area, the method further includes:

[0030] Determining a theoretical variation curve corresponding to each of the theoretical brightness values ​​and a measured variation curve corresponding to each of the measured brightness values;

[0031] Determining whether the theoretical change curve is consistent with the measured change curve;

[0032] If they are consistent, the step of calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area and determining the grayscale transition performance detection result of the display panel according to the brightness difference corresponding to each detection area is entered.

[0033] In one embodiment, determining whether the theoretical change curve is consistent with the measured change curve includes:

[0034] Whether the theoretical change curve is consistent with the measured change curve is determined by shape comparison or value comparison.

[0035] In a second aspect, the present application further provides a device for detecting grayscale transition performance of a display panel. The device comprises:

[0036] A determination module, configured to determine a grayscale distribution of a preset grayscale transition image; the grayscale distribution includes grayscale values ​​and a grayscale transition direction; the preset grayscale transition image is an image in which the grayscale values ​​uniformly change along the grayscale transition direction;

[0037] a detection area division module, configured to divide the display panel into a plurality of detection areas according to the physical size of the display panel and the grayscale distribution; each of the detection areas corresponds to one of the grayscale values ​​in the preset grayscale transition image;

[0038] a measured brightness determination module, configured to measure the brightness of the display panel using a surface scanning device, and obtain a measured brightness value corresponding to each of the detection areas;

[0039] a theoretical brightness determination module, configured to calculate the theoretical brightness values ​​corresponding to the respective detection areas based on the respective grayscale values ​​in the preset grayscale transition image;

[0040] The performance determination module is used to calculate the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determine the grayscale transition performance detection result of the display panel according to the brightness difference corresponding to each detection area.

[0041] In a third aspect, the present application further provides a terminal device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the steps of the above method when executing the computer program.

[0042] In a fourth aspect, the present application further provides a computer-readable storage medium storing a computer program, which implements the steps of the above method when executed by a processor.

[0043] In a fifth aspect, the present application further provides a computer program product, wherein the computer program product comprises a computer program, and when the computer program is executed by a processor, the steps of the above method are implemented.

[0044] The present application provides a method for detecting the grayscale transition performance of a display panel. The method divides the display panel into multiple detection areas according to the physical size of the display panel and the grayscale distribution of a preset grayscale transition image; uses a surface scanning device to measure the brightness of the display panel to obtain the measured brightness value corresponding to each detection area; calculates the theoretical brightness value corresponding to each detection area based on the grayscale values ​​in the preset grayscale transition image; compares the measured brightness value of the display panel automatically measured by the surface scanning device with the theoretical brightness value to determine the quantitative result of the grayscale transition performance of the display panel, thereby being able to efficiently determine the grayscale transition performance of the display panel. This method can identify the differences between different grayscales and determine the grayscale transition performance detection result of the display panel based on the quantitative result, thereby being able to more accurately determine the grayscale transition performance of the display panel. In addition, this method avoids the influence of subjective factors of human observation, thereby improving the accuracy of determining the grayscale transition performance detection result of the display panel. In summary, this method can accurately and efficiently determine the grayscale transition performance of the display panel.

[0045] It can be understood that the grayscale transition performance detection device, terminal device, computer-readable storage medium and computer program product provided in the embodiments of the present application have the same beneficial effects as the above-mentioned grayscale transition performance detection method of the display panel, and will not be repeated here. BRIEF DESCRIPTION OF THE DRAWINGS

[0046] In order to more clearly illustrate the specific implementation methods of the present application or the technical solutions in the prior art, the following is a brief introduction to the drawings required for use in the specific implementation methods or the description of the prior art. Obviously, the drawings described below are some implementation methods of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0047] Figure 1 A flowchart of a method for detecting grayscale transition performance of a display panel provided in an embodiment of the present application;

[0048] Figure 2 A schematic diagram of a preset grayscale transition image for vertical grayscale transition provided in an embodiment of the present application;

[0049] Figure 3 A schematic diagram of a preset grayscale transition image for horizontal grayscale transition provided in an embodiment of the present application;

[0050] Figure 4 A flowchart of another method for detecting grayscale transition performance of a display panel provided in an embodiment of the present application, S500: calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determining the grayscale transition performance detection result of the display panel based on the brightness difference corresponding to each detection area;

[0051] Figure 5 A schematic diagram of a detection area provided in an embodiment of the present application;

[0052] Figure 6 FIG2 is a schematic structural diagram of a device for detecting grayscale transition performance of a display panel provided in an embodiment of the present application;

[0053] Figure 7 A schematic diagram of the structure of a terminal device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0054] In the following description, specific details such as specific system structures and techniques are provided for purposes of illustration rather than limitation to facilitate a thorough understanding of the embodiments of the present application. However, it will be apparent to those skilled in the art that the present application may be implemented in other embodiments without these specific details. In other cases, detailed descriptions of well-known systems, devices, circuits, and methods are omitted to avoid obscuring the description of the present application with unnecessary detail.

[0055] It should be understood that when used in the present specification and the appended claims, the term "comprising" indicates the presence of described features, integers, steps, operations, elements and / or components, but does not preclude the presence or addition of one or more other features, integers, steps, operations, elements, components and / or collections thereof.

[0056] It will also be understood that the term "and / or" used in this specification and the appended claims refers to and includes any and all possible combinations of one or more of the associated listed items.

[0057] As used in this specification and the appended claims, the term "if" can be interpreted as "when" or "upon" or "in response to determining" or "in response to detecting," depending on the context. Similarly, the phrase "if it is determined" or "if [described condition or event] is detected" can be interpreted as meaning "upon determination" or "in response to determining" or "upon detection of [described condition or event]" or "in response to detecting [described condition or event]," depending on the context.

[0058] In addition, in the description of the present application specification and the appended claims, the terms "first", "second", "third", etc. are only used to distinguish the descriptions and cannot be understood as indicating or implying relative importance.

[0059] References to "one embodiment" or "some embodiments" in this specification mean that one or more embodiments of the present application include a particular feature, structure, or characteristic described in conjunction with that embodiment. Thus, phrases such as "in one embodiment," "in some embodiments," "in other embodiments," and "in other embodiments" appearing in various places in this specification do not necessarily refer to the same embodiment, but rather mean "one or more but not all embodiments," unless otherwise specifically emphasized. The terms "including," "comprising," "having," and variations thereof all mean "including but not limited to," unless otherwise specifically emphasized. "Multiple" means "two or more."

[0060] An embodiment of the present application provides a method for detecting grayscale transition performance of a display panel, which can be executed by a processor of a terminal device when running a corresponding computer program.

[0061] Figure 1 This is a flow chart of a method for detecting grayscale transition performance of a display panel provided in an embodiment of the present application. For ease of illustration, only the portion related to this embodiment is shown. The method provided in this embodiment includes the following steps:

[0062] S100: Determine the grayscale distribution of a preset grayscale transition image; the grayscale distribution includes grayscale values ​​and grayscale transition directions; the preset grayscale transition image is an image in which grayscale values ​​vary uniformly along the grayscale transition direction.

[0063] In this embodiment, the grayscale distribution of the preset grayscale transition image includes grayscale values ​​and grayscale transition directions. The grayscale values ​​can be 0 to 255; and the grayscale transition directions include horizontal and vertical directions.

[0064] The preset grayscale transition image refers to an image in which each grayscale value changes uniformly along a preset grayscale transition direction. According to the grayscale transition direction of each grayscale value, the preset grayscale transition image is divided into a vertical grayscale transition image and a horizontal grayscale transition image.

[0065] Figure 2 This is a schematic diagram of a preset grayscale transition image for vertical grayscale transitions provided in an embodiment of the present application. In this preset grayscale transition image, grayscale values ​​gradually increase vertically, and each grayscale has an equal vertical distribution width. This distribution method results in a uniform gradient effect from black to white in the preset grayscale transition image, with smooth and natural transitions between adjacent grayscales.

[0066] In other embodiments, the vertical grayscale transition may also be a gradual decrease in grayscale value along the vertical direction; that is, the preset grayscale transition image presents a uniform gradient effect from white to black in the vertical direction, and the transition between adjacent grayscales is uniform and natural.

[0067] Figure 3 A schematic diagram of a preset grayscale transition image for horizontal grayscale transition provided in an embodiment of the present application, in which the grayscale value gradually increases in the horizontal direction, and the distribution width of each grayscale in the horizontal direction is equal; this distribution method makes the preset grayscale transition image present a uniform gradient effect from black to white in the horizontal direction, and the transition between adjacent grayscales is uniform and natural.

[0068] In other embodiments, the horizontal grayscale transition may also be a gradual decrease in grayscale value along the horizontal direction; that is, the preset grayscale transition image presents a uniform gradient effect from white to black in the horizontal direction, and the transition between adjacent grayscales is uniform and natural.

[0069] S200: Divide the display panel into a plurality of detection areas according to the physical size and grayscale distribution of the display panel; each detection area corresponds to a grayscale value in a preset grayscale transition image.

[0070] In this embodiment, the display panel is divided into multiple detection areas, the number of detection areas is equal to the number of grayscales in the preset grayscale transition image, and each detection area corresponds to a grayscale value in the preset grayscale transition image; that is, each detection area corresponds one-to-one to each grayscale value in the preset grayscale transition image.

[0071] Specifically, according to the grayscale number and grayscale transition direction in the preset grayscale transition image, the display panel can be divided into detection areas corresponding to the grayscale number in the vertical direction or in the horizontal direction.

[0072] S300: Measure the brightness of the display panel using an area scanning device to obtain a measured brightness value corresponding to each detection area.

[0073] The area scanning device includes an imaging luminance meter or spectrometer. In practical applications, by setting parameters such as the measurement angle and integration time of the area scanning device, the display panel is photographed while the display panel displays a preset grayscale transition image. The measured luminance values ​​corresponding to the grayscale values ​​of each pixel are tested and recorded. The measured luminance values ​​obtained by the area scanning device are then associated with the corresponding detection areas to obtain the measured luminance values ​​corresponding to each detection area. The measurement angle can be set according to the screen size and resolution of the display panel to ensure that the detection area covers the entire display panel; the integration time can be set according to the display brightness of the display panel.

[0074] For example, for a preset grayscale transition image in which the grayscale values ​​increase successively along the horizontal direction, the first detection area on the left corresponds to the grayscale value 0, and its measured brightness value is the measured brightness value of grayscale 0; the last detection area on the right corresponds to the grayscale value 255, and its measured brightness value is the measured brightness value of grayscale 255.

[0075] S400: Calculating theoretical brightness values ​​corresponding to respective detection areas based on respective grayscale values ​​in a preset grayscale transition image.

[0076] Since each detection area corresponds to a grayscale value in the preset grayscale transition image, the brightness value corresponding to each grayscale value in the preset grayscale transition image is calculated to obtain the theoretical brightness value, thereby determining the theoretical brightness value corresponding to each detection area.

[0077] For example, for the i-th detection area (i starts counting from 0), the grayscale value corresponding to the preset grayscale transition image is i; for the grayscale value i corresponding to the i-th detection area, the corresponding theoretical brightness value is calculated. Specifically, if the grayscale value corresponding to the fifth detection area is 4, the theoretical brightness value corresponding to the grayscale value of 4 is calculated, and then the theoretical brightness value corresponding to the fifth detection area is obtained.

[0078] S500: Calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determining the grayscale transition performance detection result of the display panel according to the brightness difference corresponding to each detection area.

[0079] For each detection area, obtain the theoretical brightness value L(n) and the measured brightness value L(n)' corresponding to the detection area, and calculate the corresponding brightness difference: ΔL=L(n)'-L(n).

[0080] In addition, for each detection area, the brightness difference is compared with the preset difference threshold; if the absolute value of the brightness difference (|ΔL|) is less than or equal to the preset difference threshold, it means that the grayscale transition performance of the detection area meets the preset requirements; if the absolute value of the brightness difference (|ΔL|) is greater than the preset difference threshold, it is considered that the grayscale transition performance of the detection area does not meet the preset requirements.

[0081] After determining the brightness difference corresponding to each detection area, if the grayscale transition performance of each detection area meets the preset requirements, that is, the brightness difference corresponding to each detection area is less than or equal to the difference threshold, then it is determined that the grayscale transition performance of the entire display panel meets the preset requirements; otherwise, that is, there are any one or more detection areas whose grayscale transition performance does not meet the preset requirements, that is, there are any one or more detection areas whose brightness difference is greater than the difference threshold, then it is determined that the grayscale transition performance of the display panel does not meet the preset requirements.

[0082] The embodiment of the present application provides a method for detecting the grayscale transition performance of a display panel. The method divides the display panel into multiple detection areas according to the physical size of the display panel and the grayscale distribution of a preset grayscale transition image; uses a surface scanning device to measure the brightness of the display panel to obtain the measured brightness value corresponding to each detection area; calculates the theoretical brightness value corresponding to each detection area based on the grayscale values ​​in the preset grayscale transition image; compares the measured brightness value of the display panel automatically measured by the surface scanning device with the theoretical brightness value to determine the quantitative result of the grayscale transition performance of the display panel, thereby being able to efficiently determine the grayscale transition performance of the display panel. This method can identify the differences between different grayscales and determine the grayscale transition performance detection result of the display panel based on the quantitative result, thereby being able to more accurately determine the grayscale transition performance of the display panel. In addition, this method avoids the influence of subjective factors of human observation, thereby improving the accuracy of determining the grayscale transition performance detection result of the display panel. This method can accurately and efficiently determine the grayscale transition performance of the display panel.

[0083] Figure 4 In another method for detecting grayscale transition performance of a display panel provided in an embodiment of the present application, S500: calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determining the grayscale transition performance detection result of the display panel based on the brightness difference corresponding to each detection area. Based on the above embodiment, this embodiment further illustrates and optimizes the technical solution. Specifically, in this embodiment, S500: calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determining the grayscale transition performance detection result of the display panel based on the brightness difference corresponding to each detection area, includes:

[0084] S510: For each target detection area, obtain a target theoretical brightness value and a target measured brightness value corresponding to the target detection area; the target detection area is any detection area among the multiple detection areas.

[0085] In this embodiment, any one detection area is first determined from multiple detection areas to determine the target detection area; then, based on the predetermined theoretical brightness values ​​and measured brightness values ​​corresponding to each detection area, the target theoretical brightness value and target measured brightness value corresponding to the target detection area are obtained.

[0086] For each target detection area, the corresponding target theoretical brightness value and target measured brightness value are determined.

[0087] S520: Calculate a target brightness difference between a target theoretical brightness value and a target measured brightness value.

[0088] Specifically, after determining the target theoretical brightness value and target measured brightness value corresponding to each target detection area, for each target detection area, the difference between the target theoretical brightness value L(n) and the target measured brightness value L(n)' corresponding to the target detection area is calculated to obtain the target brightness difference ΔL. That is, ΔL = L(n)' - L(n).

[0089] S530: Obtain a target difference threshold, and determine whether the target brightness difference is less than or equal to the target difference threshold.

[0090] After obtaining the target difference threshold, for each target detection area, compare the target brightness difference value with the target difference threshold, that is, compare the target brightness difference value ΔL of each target detection area with the preset target difference threshold; and determine whether the target brightness difference value is less than or equal to the target difference threshold.

[0091] S540: If the target brightness differences corresponding to the respective detection areas are all less than or equal to the target difference threshold, it is determined that the grayscale transition performance of the display panel meets the preset requirements;

[0092] S550: Otherwise, determine that the grayscale transition performance of the display panel does not meet the preset requirement.

[0093] The target difference threshold is a critical value for determining whether the grayscale transition performance of the display panel meets preset requirements; it can be determined in advance based on actual application requirements and the performance standards of the display panel.

[0094] If the target brightness difference values ​​of all detection areas are less than or equal to the target difference threshold, that is, the target brightness difference values ​​of all detection areas are less than or equal to the target difference threshold, then it is determined that the grayscale transition performance of the display panel meets the preset requirements; otherwise, that is, if the target brightness difference values ​​of any one or more detection areas exceed the target difference threshold, then it is determined that the grayscale transition performance of the display panel does not meet the preset requirements.

[0095] According to the method of this embodiment, the grayscale transition performance test result of the display panel can be determined efficiently and conveniently.

[0096] Based on the above embodiment, this embodiment further illustrates and optimizes the technical solution. Specifically, in this embodiment, before obtaining the target difference threshold and determining whether the target brightness difference is less than or equal to the target difference threshold, a method for detecting grayscale transition performance of a display panel further includes:

[0097] Dividing the grayscale intervals based on each grayscale value in the preset grayscale transition image;

[0098] Set the corresponding difference threshold for each grayscale interval;

[0099] Get the target difference threshold, including:

[0100] Determine a target grayscale value corresponding to the target detection area, and obtain a target grayscale interval to which the target grayscale value belongs;

[0101] A target difference threshold corresponding to the target grayscale interval is determined.

[0102] Specifically, the grayscale values ​​in the preset grayscale transition image are determined, and the entire grayscale value range is determined; the entire grayscale value range is, for example, from 0 to 255; and the entire grayscale value range is divided into a plurality of grayscale intervals. This embodiment does not limit the specific number and specific method of the pattern grayscale intervals.

[0103] For example, each grayscale value may be divided into three grayscale intervals: a first grayscale interval is grayscale values ​​0 to 16, a second grayscale interval is grayscale values ​​17 to 240, and a third grayscale interval is grayscale values ​​241 to 255.

[0104] In addition, each grayscale value can also be divided into four grayscale intervals: the first grayscale interval is 0-16 grayscale values, the second grayscale interval is 16-63 grayscale values, the third grayscale interval is 64-191 grayscale values, and the fourth grayscale interval is 192 to 255 grayscale values.

[0105] Then, a corresponding difference threshold is set for each grayscale interval. For example, the difference threshold corresponding to the first grayscale interval (0-16) is set to M1; the difference threshold corresponding to the second grayscale interval (64-191) is set to M2; and the difference threshold corresponding to the third grayscale interval (192-255) is set to M3.

[0106] Therefore, when obtaining the target difference threshold, first determine the target grayscale value corresponding to the target detection area, and then determine the target grayscale interval based on the grayscale interval to which the target grayscale value belongs; then, based on the difference thresholds corresponding to each grayscale interval, determine the target difference threshold corresponding to the target grayscale interval.

[0107] Assume that each grayscale value is pre-divided into three grayscale intervals: the first grayscale interval is grayscale values ​​0 to 16, the second grayscale interval is grayscale values ​​17 to 240, and the third grayscale interval is grayscale values ​​241 to 255. The target theoretical grayscale value corresponding to a certain target detection area is 128, which belongs to the second grayscale interval. The target theoretical brightness value is 200 nits, and the actual measured brightness value is 210 nits. The calculated target brightness difference is: ΔL = 210 - 200 = 10 nits. Assuming that the target difference threshold for the target second grayscale interval is 10 nits, the target brightness difference value of the target detection area is equal to the target difference threshold, and it is determined to meet the preset requirements.

[0108] According to the method of this implementation, the corresponding target difference threshold is determined based on the target grayscale interval to which the target grayscale value corresponding to the target detection area belongs. This can more reasonably evaluate the performance of the display panel in different grayscale intervals, and can more accurately determine whether the detection area meets the preset requirements, thereby improving the accuracy of the grayscale transition performance detection of the display panel.

[0109] Based on the above embodiment, this embodiment further illustrates and optimizes the technical solution. Specifically, in this embodiment, the display panel is divided into multiple detection areas according to the physical size and grayscale distribution of the display panel, including:

[0110] Determine the physical size of the display panel;

[0111] Determining the grayscale number corresponding to each grayscale value in the preset grayscale transition image;

[0112] Based on the physical size, the display panel is evenly divided according to the number of grayscales along the grayscale transition direction to obtain multiple detection areas.

[0113] The physical size of the display panel includes the length and width of the display panel.

[0114] The grayscale number refers to the total number of grayscale values ​​in the preset grayscale transition image. In other words, the grayscale number refers to the number of different grayscale values ​​contained in the preset grayscale transition image. The grayscale number is determined based on the grayscale value range and the grayscale step size. The grayscale step size is the difference between two adjacent grayscales in the preset grayscale transition image. For example, if each grayscale step increases by 1, the grayscale step size is 1. For example, if the grayscale range is from 0 to 255, a grayscale step size of 1 indicates that the number of grayscales is 256.

[0115] In this embodiment, based on the physical size of the display panel, the display panel is evenly divided according to the number of grayscales along the grayscale transition direction to obtain a plurality of detection areas.

[0116] Figure 5 A schematic diagram of a detection area provided in an embodiment of the present application. Figure 5 As shown, assuming the display panel has physical dimensions of length x and width y, and grayscale transitions in the vertical direction, with grayscale values ​​increasing uniformly along the vertical direction, the display panel is evenly divided vertically to form multiple detection areas. Each detection area has dimensions of length x and width y / number of grayscales. For the i-th detection area (counting from top to bottom, i starts at 1), its corresponding grayscale value is i-1.

[0117] More specifically, assuming that the grayscale distribution in the preset grayscale transition image increases from top to bottom (grayscale range is 0-255), based on the physical size, the display panel is evenly divided according to the grayscale number along the grayscale transition direction, and the display panel is divided into 256 detection areas. The size of each detection area is length x and width y / 256.

[0118] According to the method of this embodiment, the display panel is divided into detection areas corresponding to the grayscale values ​​in the preset grayscale transition image, which can accurately and reasonably divide the detection areas and improve the accuracy of the grayscale transition performance detection of the display panel.

[0119] Based on the above embodiment, this embodiment further illustrates and optimizes the technical solution. Specifically, in this embodiment, based on each grayscale value in the preset grayscale transition image, the theoretical brightness value corresponding to each detection area is calculated, including:

[0120] For each grayscale value in the preset grayscale transition image, the grayscale value is input into a preset formula, and a theoretical brightness value corresponding to the grayscale value is output.

[0121] In this embodiment, the preset formula is set as:

[0122]

[0123] Where, L(n) represents the theoretical brightness value; γ is the Gamma value, which is generally set to 2.2. 255 Indicates the brightness value corresponding to the maximum grayscale value (255), which is usually determined by the specifications of the display panel or actual measurement.

[0124] Specifically, when calculating the theoretical brightness value corresponding to each grayscale value, that is, determining the theoretical brightness value of each detection area of ​​the display panel, each grayscale value is input into a preset formula respectively, and the preset formula is used to output the theoretical brightness value corresponding to the grayscale value, that is, the theoretical brightness value corresponding to each detection area is obtained.

[0125] In a specific example, each grayscale value n in the preset grayscale transition image is substituted into the preset formula to calculate the corresponding theoretical brightness value L(n).

[0126] For example, when the grayscale value n=0, the corresponding theoretical brightness value

[0127] When the grayscale value n=128, the corresponding theoretical brightness value

[0128] When the grayscale value n=255, the corresponding theoretical brightness value

[0129] It can be seen that according to the method of this embodiment, the theoretical brightness value corresponding to each detection area can be calculated efficiently and conveniently.

[0130] Based on the above embodiment, this embodiment further illustrates and optimizes the technical solution. Specifically, in this embodiment, before calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area and determining the grayscale transition performance test result of the display panel based on the brightness difference corresponding to each detection area, the method further includes:

[0131] Determining a theoretical variation curve corresponding to each theoretical brightness value and a measured variation curve corresponding to each measured brightness value;

[0132] Determine whether the theoretical change curve is consistent with the measured change curve;

[0133] If they are consistent, the process proceeds to the step of calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determining the grayscale transition performance detection result of the display panel according to the brightness difference corresponding to each detection area.

[0134] Specifically, first obtain the theoretical brightness value and measured brightness value corresponding to each detection area. Then, using the positional relationship of the detection areas as the horizontal coordinate and the theoretical brightness value as the vertical coordinate, the theoretical brightness values ​​corresponding to each detection area are connected in the coordinate system in sequence to form a smooth curve, resulting in a theoretical change curve corresponding to each theoretical brightness value. This curve shows how the theoretical brightness changes with grayscale value. Similarly, using the positional relationship of the detection areas as the horizontal coordinate and the measured brightness value as the vertical coordinate, the measured brightness values ​​corresponding to each detection area are connected in the coordinate system in sequence to form a smooth curve, resulting in a measured change curve corresponding to each measured brightness value. This curve shows how the actual measured brightness changes with grayscale value.

[0135] It should be noted that the theoretical change curve and the measured change curve can be generated separately in the same coordinate system, or they can be generated separately in two coordinate systems, but the range, scale, unit and other information of the coordinate axis must be consistent.

[0136] Then, determine whether the theoretical change curve is consistent with the measured change curve; if they are consistent, it means that the grayscale transition performance of the display panel is roughly consistent with the theoretical expectations, so the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area can be further calculated, and the grayscale transition performance test result of the display panel can be determined according to the brightness difference corresponding to each detection area; if they are inconsistent, it means that the grayscale transition performance of the display panel is very different from the theoretical expectations, and there is no need to calculate the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and it can be determined that the grayscale transition performance of the display panel does not meet the preset requirements, so the process is terminated.

[0137] It can be seen that in this embodiment, by determining the theoretical change curve corresponding to each theoretical brightness value and the measured change curve corresponding to each measured brightness value, and judging whether the theoretical change curve is consistent with the measured change curve; only when the theoretical change curve is consistent with the measured change curve, the step of calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area is entered, and the grayscale transition performance test result of the display panel is determined according to the brightness difference corresponding to each detection area, thereby avoiding wasting computing resources.

[0138] Based on the above embodiment, this embodiment further illustrates and optimizes the technical solution. Specifically, in this embodiment, determining whether the theoretical change curve is consistent with the measured change curve includes:

[0139] The consistency between the theoretical change curve and the measured change curve can be determined by shape comparison or value comparison.

[0140] Specifically, the process of determining whether the theoretical change curve is consistent with the measured change curve by shape comparison includes: obtaining the theoretical change curve and the measured change curve respectively, and then comparing whether the curve shapes of the theoretical change curve and the measured change curve are consistent.

[0141] In a specific example, edge features of the theoretical and measured change curves are first extracted. The similarity of these two edge features is then compared, such as by calculating the matching degree of edge pixels and the consistency of edge directions. The higher the similarity of the edge features, the more similar the shapes of the theoretical and measured change curves are. A similarity threshold is set. If the edge feature similarity exceeds the threshold, the theoretical and measured change curves are considered consistent; otherwise, they are considered inconsistent.

[0142] In another specific example, a shape descriptor can be used to extract the overall shape features of the theoretical change curve and the measured change curve, respectively, to obtain shape feature vectors; then, the Euclidean distance or similarity coefficient between the two shape feature vectors is calculated to determine whether the theoretical change curve and the measured change curve are consistent. The smaller the Euclidean distance or the larger the similarity coefficient, the more similar the theoretical change curve and the measured change curve are. Similarly, a judgment threshold can be set. If the Euclidean distance is less than a preset distance threshold or the similarity coefficient is greater than a preset similarity coefficient threshold, the theoretical change curve and the measured change curve are judged to be consistent; otherwise, the theoretical change curve and the measured change curve are judged to be inconsistent.

[0143] Specifically, the process of determining whether the theoretical change curve is consistent with the measured change curve by numerical comparison includes:

[0144] A preset number of key points are selected on the theoretical change curve and the measured change curve, respectively. The key points include the starting point, end point, intermediate point, and characteristic points, such as inflection points, peak and trough points, etc. The theoretical brightness value and the measured brightness value corresponding to each key point are compared to determine whether the theoretical change curve and the measured change curve are consistent. More specifically, the theoretical brightness value and the measured brightness value corresponding to the starting point, inflection point, and end point of the theoretical brightness curve and the measured brightness curve are obtained respectively; the curve brightness difference between the theoretical brightness value and the measured brightness value of each key point is determined, and it is judged whether the curve brightness difference is less than the preset curve difference threshold; if so, the theoretical brightness curve and the measured brightness curve are judged to be consistent; otherwise, the theoretical brightness curve and the measured brightness curve are judged to be inconsistent.

[0145] In addition, the statistical indicators of the theoretical change curve and the measured change curve can be calculated separately, and the statistical indicators include mean value, variance, standard deviation, etc.; if the difference between the statistical indicators of the theoretical change curve and the measured change curve is less than the preset indicator difference threshold, the theoretical change curve and the measured change curve are judged to be consistent; otherwise, the theoretical change curve and the measured change curve are judged to be inconsistent.

[0146] According to the method of this embodiment, it is possible to efficiently and conveniently determine whether the theoretical change curve is consistent with the measured change curve.

[0147] It should be understood that the size of the serial numbers of the steps in the above embodiments does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0148] It should be noted that the information collection process (such as the facial image collection process, fingerprint information collection process, etc.) / feature extraction process involved in this application is performed with the user's knowledge and permission, that is, the information collection process / feature extraction process complies with the requirements of laws and regulations and does not constitute an act that harms the public interest.

[0149] Figure 6 FIG. 1 is a schematic diagram showing the structure of a device for detecting grayscale transition performance of a display panel provided by an embodiment of the present application. Figure 6 As shown, the grayscale transition performance detection device of the display panel of this embodiment includes a determination module 610, a detection area division module 620, a measured brightness determination module 630, a theoretical brightness determination module 640 and a performance determination module 650; wherein,

[0150] Determination module 610, for determining the grayscale distribution of a preset grayscale transition image; the grayscale distribution includes grayscale values ​​and grayscale transition directions; the preset grayscale transition image is an image in which grayscale values ​​vary uniformly along the grayscale transition direction;

[0151] The detection area division module 620 is used to divide the display panel into multiple detection areas according to the physical size and grayscale distribution of the display panel; each detection area corresponds to a grayscale value in the preset grayscale transition image;

[0152] A measured brightness determination module 630 is configured to measure the brightness of the display panel using a surface scanning device and obtain a measured brightness value corresponding to each detection area;

[0153] Theoretical brightness determination module 640, for calculating the theoretical brightness value corresponding to each detection area based on each grayscale value in the preset grayscale transition image;

[0154] The performance determination module 650 is used to calculate the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determine the grayscale transition performance detection result of the display panel according to the brightness difference corresponding to each detection area.

[0155] An embodiment of the present application provides a device for detecting grayscale transition performance of a display panel, which has the same beneficial effects as the above-mentioned method for detecting grayscale transition performance of a display panel.

[0156] In one embodiment, the performance determination module 650 includes:

[0157] An acquisition submodule is used to acquire, for each target detection area, a target theoretical brightness value and a target measured brightness value corresponding to the target detection area; the target detection area is any detection area among the multiple detection areas;

[0158] A calculation submodule, used to calculate the target brightness difference between the target theoretical brightness value and the target measured brightness value;

[0159] A threshold determination submodule is used to obtain a target difference threshold and determine whether the target brightness difference is less than or equal to the target difference threshold;

[0160] A first determination submodule is configured to determine that the grayscale transition performance of the display panel meets a preset requirement if the target brightness difference values ​​corresponding to the respective detection areas are all less than or equal to the target difference threshold value;

[0161] The second determination submodule is configured to determine that the grayscale transition performance of the display panel does not meet a preset requirement if the target brightness differences corresponding to the respective detection areas are all greater than a target difference threshold.

[0162] In one embodiment, a device for detecting grayscale transition performance of a display panel further includes:

[0163] An interval division module, configured to divide the grayscale intervals based on the grayscale values ​​in the preset grayscale transition image;

[0164] A threshold setting module is used to set the corresponding difference threshold for each grayscale interval;

[0165] The threshold determination submodule includes:

[0166] A target interval determination submodule is used to determine a target grayscale value corresponding to a target detection area and obtain a target grayscale interval to which the target grayscale value belongs;

[0167] The target threshold determination submodule is used to determine a target difference threshold corresponding to a target grayscale interval.

[0168] In one embodiment, the detection area division module includes:

[0169] A physical size determination submodule, used to determine the physical size of the display panel;

[0170] A grayscale number determination submodule is used to determine the grayscale number corresponding to each grayscale value in a preset grayscale transition image;

[0171] The detection area division submodule is used to evenly divide the display panel according to the number of grayscales along the grayscale transition direction based on the physical size to obtain multiple detection areas.

[0172] In one embodiment, the theoretical brightness determination module includes:

[0173] The model calculation submodule is used to input the grayscale value into a preset formula for each grayscale value in the preset grayscale transition image, and output a theoretical brightness value corresponding to the grayscale value.

[0174] In one embodiment, a device for detecting grayscale transition performance of a display panel further includes:

[0175] A curve determination module, used to determine a theoretical change curve corresponding to each theoretical brightness value and a measured change curve corresponding to each measured brightness value;

[0176] The curve judgment module is used to judge whether the theoretical change curve is consistent with the measured change curve; if they are consistent, the performance judgment module 650 is called.

[0177] In one embodiment, the curve determination module includes:

[0178] The curve judgment submodule is used to judge whether the theoretical change curve is consistent with the measured change curve by shape comparison or value comparison.

[0179] It should be noted that the information interaction, execution process, etc. between the above-mentioned devices / units are based on the same concept as the method embodiment of this application. Their specific functions and technical effects can be found in the method embodiment section and will not be repeated here.

[0180] Those skilled in the art can clearly understand that, for the convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example for illustration. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiment can be integrated into one processing unit, or each unit can exist physically alone, or two or more units can be integrated into one unit. The above-mentioned integrated unit can be implemented in the form of hardware or in the form of software functional units. In addition, the specific names of the functional units and modules are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of this application. The specific working process of the units and modules in the above-mentioned system can refer to the corresponding process in the aforementioned method embodiment, and will not be repeated here.

[0181] Figure 7 This is a schematic diagram of the structure of a terminal device provided in an embodiment of the present application. Figure 7 As shown, the terminal device 700 of this embodiment includes a memory 701, a processor 702, and a computer program 703 stored in the memory 701 and executable on the processor 702; when the processor 702 executes the computer program 703, the steps in the above-mentioned embodiments of the grayscale transition performance detection method for each display panel are implemented; or when the processor 702 executes the computer program 703, the functions of each module / unit in the above-mentioned device embodiments are implemented.

[0182] Exemplarily, the computer program 703 may be divided into one or more modules / units, one or more of which are stored in the memory 701 and executed by the processor 702 to implement the method of the embodiment of the present application. One or more modules / units may be a series of computer program instruction segments capable of performing specific functions, and the instruction segments are used to describe the execution process of the computer program 703 in the terminal device 700. For example, the computer program 703 may be divided into a determination module, a detection area division module, a measured brightness determination module, a theoretical brightness determination module, and a performance determination module. The specific functions of each module are as follows:

[0183] A determination module is used to determine the grayscale distribution of a preset grayscale transition image; the grayscale distribution includes each grayscale value and a grayscale transition direction; the preset grayscale transition image is an image in which each grayscale value changes uniformly along the grayscale transition direction;

[0184] A detection area division module is used to divide the display panel into multiple detection areas according to the physical size and grayscale distribution of the display panel; each detection area corresponds to a grayscale value in the preset grayscale transition image;

[0185] A brightness measurement module is used to measure the brightness of the display panel using a surface scanning device to obtain a measured brightness value corresponding to each detection area;

[0186] Theoretical brightness determination module, used to calculate the theoretical brightness value corresponding to each detection area based on each grayscale value in the preset grayscale transition image;

[0187] The performance determination module is used to calculate the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determine the grayscale transition performance detection result of the display panel according to the brightness difference corresponding to each detection area.

[0188] In application, the terminal device 700 can be a computing device such as an LMK (Intelligent Photometric and Chromatic Testing System) device, a desktop computer, a notebook, a PDA, or a cloud server. The terminal device 700 can include but is not limited to a memory 701 and a processor 702. Those skilled in the art will understand that Figure 7 It is only an example of a terminal device and does not constitute a limitation of the terminal device. It may include more or fewer components than shown in the figure, or a combination of certain components, or different components. For example, the terminal device may also include input and output devices, network access devices, buses, etc.; among them, the input and output devices may include cameras, audio acquisition / playback devices, display screens, etc.; the network access device may include a communication module for wireless communication with external devices.

[0189] In applications, the processor may be a central processing unit (CPU), other general-purpose processors, digital signal processors (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor, etc.

[0190] In applications, memory can be an internal storage unit of a terminal device, such as a hard drive or memory; it can also be an external storage device, such as a plug-in hard drive, a Smart Media Card (SMC), a Secure Digital (SD) card, or a flash memory card. It can also include both internal and external storage units. Memory is used to store operating systems, applications, boot loaders, data, and other programs, such as computer program code. Memory can also be used to temporarily store data that has been output or is about to be output.

[0191] An embodiment of the present application further provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps in the above-mentioned method embodiments can be implemented.

[0192] The present application implements all or part of the processes in the above-mentioned embodiment method, which can be completed by instructing the relevant hardware through a computer program. The computer program can be stored in a computer-readable storage medium. When the computer program is executed by the processor, it can implement the steps of the above-mentioned various method embodiments. Among them, the computer program includes computer program code, and the computer program code can be in source code form, object code form, executable file or some intermediate form. The computer-readable medium may at least include: any entity or device that can carry the computer program code to the terminal device, a recording medium, a computer memory, a read-only memory (ROM), a random access memory (RAM), an electric carrier signal, a telecommunication signal and a software distribution medium. For example, a USB flash drive, a mobile hard disk, a magnetic disk or an optical disk.

[0193] A computer-readable storage medium provided in an embodiment of the present application has the same beneficial effects as the above-mentioned method for detecting grayscale transition performance of a display panel.

[0194] An embodiment of the present application further provides a computer program product, including a computer program, which can implement the steps in the above-mentioned method embodiments when executed by a processor.

[0195] A computer program product provided in an embodiment of the present application has the same beneficial effects as the above-mentioned method for detecting grayscale transition performance of a display panel.

[0196] In the above embodiments, the description of each embodiment has its own focus. For parts that are not described or recorded in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0197] Those skilled in the art will appreciate that the devices and algorithm steps of each example described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are performed in hardware or software depends on the specific application and design constraints of the technical solution. Professional and technical personnel can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0198] In the embodiments provided herein, it should be understood that the disclosed devices and methods may be implemented in other ways. For example, the device embodiments described above are merely illustrative. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interface, or the devices may be indirectly coupled or communicated in some manner, whether electrical, mechanical, or other.

[0199] The above-described embodiments are only used to illustrate the technical solutions of the present application, rather than to limit them. Although the present application has been described in detail with reference to the aforementioned embodiments, those skilled in the art should understand that they can still modify the technical solutions described in the aforementioned embodiments, or make equivalent replacements for some of the technical features therein. These modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the various embodiments of the present application, and should all be included in the scope of protection of the present application.

Claims

1. A method for detecting grayscale transition performance of a display panel, characterized in that: The method comprises: Determining a grayscale distribution of a preset grayscale transition image; the grayscale distribution includes grayscale values ​​and a grayscale transition direction; the preset grayscale transition image is an image in which the grayscale values ​​uniformly change along the grayscale transition direction; Dividing the display panel into a plurality of detection areas according to the physical size of the display panel and the grayscale distribution; each of the detection areas corresponds to one of the grayscale values ​​in the preset grayscale transition image; Measuring the brightness of the display panel using a surface scanning device to obtain a measured brightness value corresponding to each detection area; Calculating theoretical brightness values ​​corresponding to the respective detection areas based on the respective grayscale values ​​in the preset grayscale transition image; The brightness difference between the theoretical brightness value and the measured brightness value of the same detection area is calculated, and the grayscale transition performance detection result of the display panel is determined according to the brightness difference corresponding to each detection area.

2. The method according to claim 1, characterized in that Calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determining the grayscale transition performance test result of the display panel according to the brightness difference corresponding to each detection area, includes: For each target detection area, obtaining a target theoretical brightness value and a target measured brightness value corresponding to the target detection area; the target detection area is any detection area among the multiple detection areas; Calculating a target brightness difference between the target theoretical brightness value and the target measured brightness value; Obtaining a target difference threshold, and determining whether the target brightness difference is less than or equal to the target difference threshold; If the target brightness difference values ​​corresponding to the respective detection areas are all less than or equal to the target difference threshold value, it is determined that the grayscale transition performance of the display panel meets the preset requirements; Otherwise, it is determined that the grayscale transition performance of the display panel does not meet the preset requirement.

3. The method according to claim 2, characterized in that Before obtaining the target difference threshold and determining whether the target brightness difference is less than or equal to the target difference threshold, the method further includes: Dividing the grayscale intervals based on the grayscale values ​​in the preset grayscale transition image; Setting a corresponding difference threshold for each grayscale interval; The obtaining of the target difference threshold value includes: Determining a target grayscale value corresponding to the target detection area, and obtaining a target grayscale interval to which the target grayscale value belongs; A target difference threshold corresponding to the target grayscale interval is determined.

4. The method according to claim 1, wherein The step of dividing the display panel into a plurality of detection areas according to the physical size of the display panel and the grayscale distribution includes: determining the physical size of the display panel; Determining the grayscale number corresponding to each grayscale value in the preset grayscale transition image; Based on the physical size, the display panel is evenly divided along the grayscale transition direction according to the grayscale number to obtain a plurality of detection areas.

5. The method according to claim 1, wherein The calculating of the theoretical brightness values ​​corresponding to the respective detection areas based on the respective grayscale values ​​in the preset grayscale transition image includes: For each grayscale value in the preset grayscale transition image, the grayscale value is input into a preset formula, and a theoretical brightness value corresponding to the grayscale value is output.

6. The method according to any one of claims 1 to 5, characterized in that Before calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determining the grayscale transition performance test result of the display panel according to the brightness difference corresponding to each detection area, the method further includes: Determining a theoretical variation curve corresponding to each of the theoretical brightness values ​​and a measured variation curve corresponding to each of the measured brightness values; Determining whether the theoretical change curve is consistent with the measured change curve; If they are consistent, the step of calculating the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area and determining the grayscale transition performance detection result of the display panel according to the brightness difference corresponding to each detection area is entered.

7. The method according to claim 6, characterized in that The determining whether the theoretical change curve is consistent with the measured change curve includes: Whether the theoretical change curve is consistent with the measured change curve is determined by shape comparison or value comparison.

8. A device for detecting grayscale transition performance of a display panel, characterized in that: The device comprises: A determination module, configured to determine a grayscale distribution of a preset grayscale transition image; the grayscale distribution includes grayscale values ​​and a grayscale transition direction; the preset grayscale transition image is an image in which the grayscale values ​​uniformly change along the grayscale transition direction; a detection area division module, configured to divide the display panel into a plurality of detection areas according to the physical size of the display panel and the grayscale distribution; each of the detection areas corresponds to one of the grayscale values ​​in the preset grayscale transition image; a measured brightness determination module, configured to measure the brightness of the display panel using a surface scanning device, and obtain a measured brightness value corresponding to each of the detection areas; a theoretical brightness determination module, configured to calculate the theoretical brightness values ​​corresponding to the respective detection areas based on the respective grayscale values ​​in the preset grayscale transition image; The performance determination module is used to calculate the brightness difference between the theoretical brightness value and the measured brightness value of the same detection area, and determine the grayscale transition performance detection result of the display panel according to the brightness difference corresponding to each detection area.

9. A terminal device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

11. A computer program product comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 7 are implemented.

Images