Dead pixel detection method, system and equipment for liquid crystal display screen and storage medium

Abstract

The invention relates to the technical field of screen quality detection, and discloses a dead pixel detection method, system and device for a liquid crystal display screen and a storage medium, and the method comprises the steps: obtaining the pixel distribution information of a to-be-detected display screen, and marking the corresponding pixel coordinates of each pixel point based on the pixel distribution information; after the detection signal is received, pixel points of the display screen to be detected are divided into a plurality of pixel blocks based on the pixel coordinates, and each pixel block is marked with a block identifier; based on the pixel coordinates and the block identifiers, determining block coordinates of each pixel point, dividing each pixel point into a plurality of pixel groups based on the block coordinates, and marking group identifiers for each pixel group; setting a detection sequence based on the group identifier of each pixel group, and controlling each pixel group to display a preset detection image group one by one based on the detection sequence; obtaining display effect images of the display screen to be detected one by one and inputting the display effect images to a preset image dead pixel recognition model to generate dead pixel detection result information; the method has the effect of improving the dead pixel detection efficiency of the liquid crystal display screen.

Description

Technical Field

[0001] The present application relates to the technical field of screen quality detection, and in particular to a bad pixel detection method, system, device and storage medium for liquid crystal display screens. Background Art

[0002] With the technological upgrading and cost reduction of LCD screens, the application scope of LCD screens is becoming more and more extensive; however, during the long-term use of LCD screens, a common failure is the problem of pixel damage, i.e., bad pixels. At present, the detection method for bad pixels is mainly to make the screen display a pure color image manually or through software programs, so that maintenance personnel can find bad pixels by naked eye observation. However, this detection method is too dependent on the experience and attention of maintenance personnel, and is prone to low detection efficiency. Summary of the invention

[0003] In order to improve the bad pixel detection efficiency of a liquid crystal display screen, the present application provides a bad pixel detection method, system, device and storage medium for a liquid crystal display screen.

[0004] The first invention objective of the present application is achieved by adopting the following technical solution:

[0005] A bad pixel detection method for a liquid crystal display includes:

[0006] Obtain pixel distribution information of the display screen to be tested, and mark the corresponding pixel coordinates of each pixel point based on the pixel distribution information;

[0007] After receiving the detection signal, the pixel points of the display screen to be tested are divided into a number of pixel blocks based on the pixel coordinates, and a block identifier is marked on each pixel block;

[0008] Based on the pixel coordinates and the block identifier, determine the block coordinates of each pixel point, divide each pixel point into a plurality of pixel groups based on the block coordinates, and mark each pixel group with a group identifier;

[0009] Setting a detection order based on the group identifier of each pixel group, and controlling each pixel group to display a preset detection image group one by one based on the detection order;

[0010] Obtaining display effect images of the display screen to be tested one by one and inputting them into a preset image bad pixel recognition model to generate bad pixel detection result information;

[0011] The pixel block includes a number of adjacent pixel points, and the arrangement of the pixel points in each pixel block is consistent; the pixel group includes a number of pixel points with the same block coordinates; the detection image group includes a number of pure color detection images; the display effect image refers to an image taken when the pure color detection image is displayed on the display screen to be tested.

[0012] By adopting the above technical solution, the pixel distribution information of the display screen to be tested is obtained to analyze the position of each pixel point on the display screen, and the pixel coordinates of each pixel point are set and marked; when the display screen to be tested needs to be tested for bad pixel detection, the detection signal is received, and based on the pixel coordinates, the pixel points with adjacent positions in the display screen to be tested are allocated to the same pixel block, and the block identifier is marked for each pixel block to facilitate subsequent identification of the pixel block to which the pixel point belongs; based on the pixel coordinates and the block identifier, the position of each pixel point in each pixel block is re-determined in the pixel block to determine the corresponding block coordinates, and the pixel points with the same block coordinates in each pixel block are divided into the same pixel group, and the pixel blocks are marked according to the pixel coordinates of each pixel block. The block coordinates of the pixel points included in the pixel group determine and mark the corresponding group identifier, so as to facilitate the subsequent setting of the detection order of the pixel group; the detection order is set based on the group identifier of each pixel group, and each pixel group is controlled to display the preset detection image group one by one according to the detection order, so as to reduce the density of pixels that light up at the same time when performing bad pixel detection, thereby improving the success rate of bad pixel detection; when the display screen to be tested lights up the detection image group one by one, the display screen to be tested is photographed to obtain the corresponding display effect image and input it into the image bad pixel recognition model, so as to use the image processing algorithm to perform bad pixel detection to generate bad pixel detection result information, thereby improving the bad pixel detection efficiency of the liquid crystal display.

[0013] In a preferred example of the present application, after receiving the detection signal, the pixel points of the display screen to be tested are divided into a plurality of pixel blocks based on the pixel coordinates, and a block identifier is marked on each pixel block, including:

[0014] receiving a detection signal to determine a shooting resolution, and determining a pixel block density and a corresponding pixel block size based on the shooting resolution;

[0015] Based on the pixel coordinates of each pixel point and the size of the pixel block, each pixel point is divided into a number of pixel blocks, and a block identifier is marked on each pixel block;

[0016] The detection signal records the shooting resolution, where the shooting resolution refers to the resolution of the shooting device that displays the effect image; the pixel block density is less than the shooting resolution.

[0017] By adopting the above technical solution, when the detection signal is received, the corresponding shooting resolution is determined, so as to facilitate the acquisition of the resolution of the shooting device subsequently used to shoot the display effect image. The pixel block density is determined according to the principle that the pixel block density is less than the shooting resolution, so as to ensure that the shooting resolution is sufficient when the bad pixel detection is subsequently performed through the image processing algorithm. Based on the number of pixels and the pixel block density of the display screen to be tested, the number of pixels required to be included in each pixel block is calculated to determine the pixel block scale; based on the pixel coordinates of each pixel point and the pixel block scale, each pixel point in the display screen to be tested is divided into a number of pixel blocks, and each pixel block is marked with a block identifier, so as to facilitate the subsequent distinction between different pixel blocks.

[0018] In a preferred example of the present application, the block coordinates of each pixel point are determined based on the pixel coordinates and the block identifier, each pixel point is divided into a plurality of pixel groups based on the block coordinates, and a group identifier is marked for each pixel group, including:

[0019] Based on the pixel coordinates and the block identifier, re-determine the block coordinates of each pixel point in the pixel block;

[0020] Based on the block coordinates of each pixel point, all the pixel points with the same block coordinates are divided into the same pixel group to generate a plurality of pixel groups, and each pixel group is marked with a group identifier.

[0021] By adopting the above technical solution, the block coordinates of the pixel points in the pixel block are re-determined based on the pixel coordinates and the corresponding block identifiers, so as to know the position of each pixel point in the pixel block; based on the block coordinates of each pixel point in the display screen to be tested, all pixel points with the same block coordinates are divided into the same pixel group, thereby generating several pixel groups, and the pixel groups are marked with group identifiers to facilitate the subsequent distinction between different pixel groups.

[0022] In a preferred example of the present application, the detection order is set based on the group identifier of each pixel group, and each pixel group is controlled one by one to display a preset detection image group based on the detection order, including:

[0023] Generating a detection order after sorting based on the group identifiers of each pixel group, wherein the detection order includes all group identifiers;

[0024] Determine the target pixel group based on the detection order, and generate a detection display instruction based on the determined target pixel group to control the target pixel group of the display screen to be tested to perform the display work of the detection image group;

[0025] When the detection image group display work of the target pixel group is completed, the pixel group corresponding to the next group identifier is determined as the target pixel group based on the detection order, and the detection display instruction is generated based on the determined target pixel group.

[0026] By adopting the above technical solution, the pixel groups are sorted based on their group identifiers to generate a detection order, wherein the detection order includes all the group identifiers of the display screen to be tested; a target pixel group is determined based on the detection order to generate a detection display instruction according to the determined target pixel group, and the target pixel group of the display screen to be tested is controlled to perform the display of the detection image group based on the detection display instruction, so as to control a portion of the pixels evenly distributed on the display screen to be tested to display the detection image group, so as to reduce the number of pixels that light up at the same time, reduce the influence of light between adjacent pixels, and improve the accuracy of the functional integrity detection of each pixel; when the display of the detection image group of the target pixel group is completed, the pixel group corresponding to the next group identifier is determined as the target pixel group based on the detection order to generate a new detection display instruction, so as to continue the detection of the functional integrity of the pixels until all pixel groups are detected.

[0027] In a preferred example of the present application: one of the display effect images corresponds to a pure color detection image displayed by one pixel group;

[0028] The step of acquiring the display effect images of the display screen to be tested one by one and inputting them into a preset image bad pixel recognition model to generate bad pixel detection result information includes:

[0029] Obtain the display effect images of the display screen to be tested one by one and input them into the preset image bad pixel recognition model, and identify the abnormal pixels in each display effect image one by one through the image recognition algorithm;

[0030] When abnormal pixels are detected, the abnormal items and pixel coordinates of each abnormal pixel are recorded to generate bad pixel detection result information;

[0031] The abnormal pixel point refers to a pixel point showing abnormal color in the display effect image.

[0032] By adopting the above technical solution, each display effect image corresponds to a pure color detection image displayed by a pixel group, and the display effect images obtained by the shooting device are obtained one by one and input into the preset image bad pixel recognition model, and the image recognition algorithm is used to identify whether there are abnormal pixels in each display effect image one by one; when abnormal pixels are detected, the abnormal items and pixel coordinates of each abnormal pixel are recorded, so as to generate bad pixel detection result information according to the abnormal items and abnormal coordinates of all detected abnormal pixels.

[0033] In a preferred example of the present application: the abnormal items of the abnormal pixel point include color display abnormalities and color display damage of several colors; a normal parameter deviation interval and an abnormal parameter interval are set for each color of the pixel point;

[0034] The step of identifying abnormal pixels in each display effect image one by one by using an image recognition algorithm includes:

[0035] Determine the corresponding standard light color value and standard brightness value based on the pure color detection image corresponding to the display effect image, and identify the measured light color value and measured brightness value of each pixel in the display effect image;

[0036] Calculate the light color deviation rate and brightness deviation rate of the target pixel, and compare the light color deviation rate and brightness deviation rate with the normal parameter deviation range and abnormal parameter range to determine the abnormal item information of the target pixel.

[0037] By adopting the above technical scheme, based on the pure color detection image corresponding to the display effect image, the corresponding standard light color value and standard brightness value are determined, and the measured light color value and measured brightness value of each pixel in the display effect image are identified by the image recognition algorithm, so as to judge whether there is an abnormality in each pixel based on the comparison between the standard light color value, standard brightness value and the measured light color value, measured brightness value; based on the standard light color value, standard brightness value and the measured light color value, measured brightness value, the light color deviation rate and the brightness deviation rate are calculated, and the light color deviation rate and the brightness deviation rate are compared with the normal parameter deviation interval and the abnormal parameter interval, so as to judge whether there are abnormal items at the target pixel and which abnormal items exist, thereby generating abnormal item information.

[0038] In a preferred example of the present application: the display screen to be tested is provided with a plurality of annular display areas, each display area is associated with a center value used to reflect the proximity of the area to the center of the display screen to be tested, and the center value is positively correlated with the proximity of the center of the display screen to be tested;

[0039] When abnormal pixels are detected, the abnormal items and pixel coordinates of each abnormal pixel are recorded to generate bad pixel detection result information, including:

[0040] Obtain the pixel coordinates of each abnormal pixel point, and determine the corresponding display area and center value based on the pixel coordinates;

[0041] Obtain the abnormal items of each abnormal pixel point, and calculate the quality assessment value based on the abnormal items, the centrality assignment and the preset quality assessment calculation formula;

[0042] Generate bad pixel detection result information based on the quality assessment standard and the quality assessment value;

[0043] The quality assessment calculation formula is:

[0044]

[0045] Among them, S is the quality assessment value, i is the abnormal pixel mark, m is the number of abnormal pixels, and Y i is the abnormal evaluation value of abnormal pixel i, P iis the regional correction value of abnormal pixel i, j is the abnormal item identifier, n is the number of abnormal items, k j is the weight coefficient of project ID j, X j Assign an abnormal value to item ID j; Y maxi is the abnormal evaluation value Y i The upper limit value of is the area correction factor, k A , k B are the first coefficient and the second coefficient, R i Assign a value to the centrality, R max Assign the highest value to degree centrality.

[0046] By adopting the above technical solution, since the closer the bad pixel on the liquid crystal display screen is to the center of the display screen to be tested, the greater the impact on the display effect of the display screen to be tested is, therefore, a number of annular display areas are set for the display screen to be tested and associated with a center value assignment that is positively correlated with the degree of proximity to the center of the display screen to be tested, so as to facilitate data correction when subsequently evaluating the impact of abnormal pixel points on the display quality of the display screen to be tested; the pixel coordinates of each abnormal pixel point are obtained to determine the corresponding display area and center value assignment, so as to facilitate subsequent evaluation of the display quality of the display screen to be tested in combination with the area where the abnormal pixel point is located; the abnormal items of each abnormal pixel point are obtained, and the quality evaluation value is calculated in combination with the center value assignment and the quality evaluation calculation formula to obtain The display quality of the display screen to be tested, wherein the quality assessment value is related to the number of abnormal pixels, the abnormal assessment value and the regional correction value, so as to improve the scientific nature of the quality assessment value in evaluating the display quality of the display screen to be tested, wherein the abnormal assessment value is used to evaluate the abnormal degree of the abnormal pixel, the more abnormal items of the pixel and the larger the weight coefficient corresponding to the abnormal item, the larger the abnormal assessment value, the regional correction value is used to evaluate the influence of the position of the abnormal pixel on the display quality, the larger the centrality value of the pixel, the larger the regional correction value; according to the quality assessment standard and the quality assessment value, the bad pixel detection result information is generated, so that the detection personnel can know the bad pixel situation and detection results of the display screen to be tested.

[0047] The second invention objective of this application is achieved by the following technical solution:

[0048] A bad pixel detection system for a liquid crystal display screen, applied to any of the above-mentioned bad pixel detection methods for a liquid crystal display screen, comprises:

[0049] A pixel distribution analysis module is used to obtain pixel distribution information of the display screen to be tested, and mark the corresponding pixel coordinates of each pixel point based on the pixel distribution information;

[0050] A pixel block analysis module is used to divide the pixel points of the display screen to be tested into several pixel blocks based on the pixel coordinates after receiving the detection signal, and mark each pixel block with a block identifier;

[0051] A pixel group analysis module, used to determine the block coordinates of each pixel point based on the pixel coordinates and the block identifier, divide each pixel point into a plurality of pixel groups based on the block coordinates, and mark each pixel group with a group identifier;

[0052] A detection control module, used to set a detection order based on the group identification of each pixel group, and control each pixel group to display a preset detection image group one by one based on the detection order;

[0053] A bad pixel detection module is used to obtain the display effect images of the display screen to be tested one by one and input them into a preset image bad pixel recognition model to generate bad pixel detection result information;

[0054] The pixel block includes a number of adjacent pixel points, and the arrangement of the pixel points in each pixel block is consistent; the pixel group includes a number of pixel points with the same block coordinates; the detection image group includes a number of pure color detection images; the display effect image refers to an image taken when the pure color detection image is displayed on the display screen to be tested.

[0055] The third invention objective of this application is achieved by the following technical solution:

[0056] A computer device comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above-mentioned bad pixel detection method for a liquid crystal display are implemented.

[0057] The fourth invention objective of this application is achieved by the following technical solution:

[0058] A computer-readable storage medium stores a computer program, and when the computer program is executed by a processor, the steps of the above-mentioned bad pixel detection method for a liquid crystal display screen are implemented.

[0059] In summary, the present application includes at least one of the following beneficial technical effects:

[0060] 1. Obtain pixel distribution information of the display screen to be tested to analyze the position of each pixel on the display screen, set and mark pixel coordinates for each pixel; when it is necessary to perform bad pixel detection on the display screen to be tested, receive the detection signal, and based on the pixel coordinates, distribute the adjacent pixel points in the display screen to be tested to the same pixel block, mark each pixel block with a block identifier to facilitate subsequent identification of the pixel block to which the pixel point belongs; based on the pixel coordinates and block identifier, re-determine the position of each pixel point in each pixel block in the pixel block to determine the corresponding block coordinates, divide the pixel points with the same block coordinates in each pixel block into the same pixel group, and The block coordinates containing the pixel points determine and mark the corresponding group identifiers, so as to facilitate the subsequent setting of the detection order of the pixel groups; the detection order is set based on the group identifiers of each pixel group, and each pixel group is controlled to display the preset detection image groups one by one according to the detection order, so as to reduce the density of pixels that light up at the same time when performing bad pixel detection, thereby improving the success rate of bad pixel detection; when the display screen to be tested lights up the detection image groups one by one, the display screen to be tested is photographed to obtain the corresponding display effect image and input it into the image bad pixel recognition model, so as to use the image processing algorithm to perform bad pixel detection to generate bad pixel detection result information, thereby improving the bad pixel detection efficiency of the liquid crystal display.

[0061] 2. Each display effect image corresponds to a pure color detection image displayed by a pixel group. The display effect images obtained by the shooting device are obtained one by one and input into the preset image bad pixel recognition model. The image recognition algorithm is used to identify whether there are abnormal pixels in each display effect image one by one. When abnormal pixels are detected, the abnormal items and pixel coordinates of each abnormal pixel are recorded, so as to generate bad pixel detection result information according to the abnormal items and abnormal coordinates of all detected abnormal pixels.

[0062] 3. Since the closer the bad pixel on the LCD screen is to the center of the screen to be tested, the greater the impact on the display effect of the screen to be tested, therefore, a number of annular display areas are set for the screen to be tested and associated with a center value that is positively correlated with the degree of proximity to the center of the screen to be tested, so as to facilitate data correction when evaluating the impact of abnormal pixels on the display quality of the screen to be tested; the pixel coordinates of each abnormal pixel are obtained to determine the corresponding display area and center value assignment, so as to facilitate the subsequent evaluation of the display quality of the screen to be tested in combination with the area where the abnormal pixel is located; the abnormal items of each abnormal pixel are obtained, and the quality evaluation value is calculated in combination with the center value assignment and the quality evaluation calculation formula to obtain the screen to be tested. The display quality of the display screen to be tested is improved by using the quality evaluation value, wherein the quality evaluation value is related to the number of abnormal pixels, the abnormal evaluation value and the regional correction value, so as to improve the scientific nature of the quality evaluation value in evaluating the display quality of the display screen to be tested, wherein the abnormal evaluation value is used to evaluate the abnormal degree of the abnormal pixel, the more abnormal items of the pixel and the larger the weight coefficient corresponding to the abnormal item, the larger the abnormal evaluation value, and the regional correction value is used to evaluate the influence of the position of the abnormal pixel on the display quality, the larger the centrality value of the pixel, the larger the regional correction value; according to the quality evaluation standard and the quality evaluation value, the bad pixel detection result information is generated, so that the detection personnel can know the bad pixel situation and detection results of the display screen to be tested. BRIEF DESCRIPTION OF THE DRAWINGS

[0063] Figure 1 It is a flow chart of a bad pixel detection method for a liquid crystal display screen in the first embodiment of the present application.

[0064] Figure 2 It is a principle block diagram of a bad pixel detection system for a liquid crystal display screen in the second embodiment of the present application.

[0065] Figure 3 It is a schematic diagram of the equipment in Example 3 of the present application. DETAILED DESCRIPTION

[0066] The following is combined with Figures 1 to 3 This application is described in further detail.

[0067] Embodiment 1

[0068] Reference Figure 1 The present application discloses a bad pixel detection method for a liquid crystal display screen, which specifically comprises the following steps:

[0069] S10: Obtain pixel distribution information of the display screen to be tested, and mark corresponding pixel coordinates of each pixel point based on the pixel distribution information.

[0070] In this embodiment, pixel distribution information refers to information on the distribution of pixels on the display screen to be tested. For example, when the display screen to be tested is a rectangular display screen, the pixel distribution information includes information such as the number of pixels and the arrangement method. Pixel coordinates refer to the position coordinates of the pixel points on the display screen to be tested. For example, when the resolution of the display screen to be tested is 1280×720, the display screen to be tested includes 720 rows and 1280 columns of pixels, and the pixel coordinates include information on the rows and columns where the pixel points are located.

[0071] Specifically, the pixel distribution information of the display screen to be tested is obtained through the instruction manual or relevant technical manual of the display screen to be tested, so as to analyze the position of each pixel point on the display screen, and set and mark the pixel coordinates of each pixel point.

[0072] S20: After receiving the detection signal, the pixel points of the display screen to be tested are divided into a number of pixel blocks based on the pixel coordinates, and each pixel block is marked with a block identifier.

[0073] In this embodiment, a pixel block includes a number of adjacent pixel points, and the arrangement of the pixel points in each pixel block is consistent. Preferably, a pixel block includes 4×4 pixel points. The pixel block can also be set to 2×2, 3×3, 5×5 and other specifications according to the resolution of the shooting device and the actual performance of the image processing program. The block identifier refers to information used to distinguish the pixel blocks. Preferably, the block identifier can be determined in the form of coordinates. For example, the block identifier of each pixel block can be determined by its row and column on the display screen to be tested.

[0074] Specifically, when it is necessary to perform bad pixel detection on the display screen to be tested, a detection signal is received, and based on the pixel coordinates, adjacent pixels in the display screen to be tested are allocated to the same pixel block, and each pixel block is marked with a block identifier to facilitate subsequent identification of the pixel block to which the pixel belongs.

[0075] Wherein, in step S20, it includes:

[0076] S21: receiving a detection signal to determine a shooting resolution, and determining a pixel block density and a corresponding pixel block size based on the shooting resolution.

[0077] In this embodiment, the detection signal records the shooting resolution of the shooting device used to detect the display screen to be tested, so as to facilitate the determination of the setting rules of the pixel blocks; the shooting resolution refers to the resolution of the shooting device that displays the effect image; the pixel block density is less than the shooting resolution, specifically referring to that the number of rows and columns of the pixel blocks in the display screen to be tested are not greater than one half of the pixels in each row and column of the shooting resolution.

[0078] Specifically, after receiving the detection signal, the corresponding shooting resolution is determined to facilitate the knowledge of the resolution of the shooting device subsequently used to shoot the display effect image. The pixel block density is determined based on the principle that the pixel block density is less than the shooting resolution, so as to ensure that the shooting resolution is sufficient when performing bad pixel detection through the image processing algorithm. Based on the number of pixels and the pixel block density of the display screen to be tested, the number of pixels required to be contained in each pixel block is calculated to determine the pixel block scale.

[0079] S22: Based on the pixel coordinates of each pixel point and the size of the pixel block, each pixel point is divided into a number of pixel blocks, and a block identifier is marked on each pixel block.

[0080] In this embodiment, the pixel block size refers to information used to determine the number and arrangement of pixels in each pixel block. Preferably, a pixel block includes 16 pixels arranged in 4 rows and 4 columns in a square. The pixel block at the edge of the display screen to be tested may not be fully populated, for example, only including 4×3, 4×2, 4×1, 3×4, 2×4, 1×4, 3×3, 2×2, and 1×1 pixels.

[0081] Specifically, based on the pixel coordinates of each pixel point and the size of the pixel block, each pixel point in the display screen to be tested is divided into a number of pixel blocks, and each pixel block is marked with a block identifier to facilitate subsequent distinction between different pixel blocks.

[0082] S30: Based on the pixel coordinates and the block identifier, determine the block coordinates of each pixel point, divide each pixel point into a plurality of pixel groups based on the block coordinates, and mark each pixel group with a group identifier.

[0083] In this embodiment, a pixel group includes a number of pixel points with the same block coordinates. When a pixel block includes 4×4 pixel points, the coordinates of the pixel points in the pixel block are (1, 1), (2, 1), (3, 1), (4, 1), (1, 2), (2, 2), (3, 2), (4, 2), (1, 3), (2, 3), (3, 3), (4, 3), (1, 4), (2, 4), (3, 4), (4, 4), except for the incomplete pixel points.

[0084] Specifically, based on the pixel coordinates and block identifiers, the position of each pixel point in each pixel block is re-determined in the pixel block to determine the corresponding block coordinates, the pixel points with the same block coordinates in each pixel block are divided into the same pixel group, and the corresponding group identifier is determined and marked according to the block coordinates of the pixel points included in each pixel group, so as to facilitate the subsequent setting of the detection order of the pixel groups.

[0085] Wherein, in step S30, it includes:

[0086] S31: Based on the pixel coordinates and the block identifier, re-determine the block coordinates of each pixel point in the pixel block.

[0087] Specifically, based on the pixel coordinates and the corresponding block identifiers, the block coordinates of the pixel points in the pixel block are re-determined so as to know the position of each pixel point in the pixel block.

[0088] S32: Based on the block coordinates of each pixel point, all the pixel points with the same block coordinates are divided into the same pixel group to generate a plurality of pixel groups, and a group identifier is marked for each pixel group.

[0089] In this embodiment, a pixel group includes pixel points with the same block coordinates in all pixel blocks of the display screen to be tested. The number of pixel groups is the same as the number of pixel points in a full pixel block. For example, when a pixel block includes 4×4 pixels, there are 16 pixel groups in total.

[0090] Specifically, based on the block coordinates of each pixel point in the display screen to be tested, all pixels with the same block coordinates are divided into the same pixel group, thereby generating several pixel groups, and marking the pixel groups with group identifiers to facilitate subsequent distinction between different pixel groups.

[0091] S40: setting a detection order based on the group identifier of each pixel group, and controlling each pixel group to display a preset detection image group one by one based on the detection order.

[0092] In this embodiment, the detection image group includes several pure color detection images. Preferably, the pure color detection images include pure white (R=255, G=255, B=255), pure black (R=0, G=0, B=0), pure red (R=255, G=0, B=0), pure green (R=0, G=255, B=0), and pure blue (R=0, G=0, B=255) images.

[0093] Specifically, a detection order is set based on the group identifier of each pixel group, and each pixel group is controlled to display a preset detection image group one by one according to the detection order, so that when performing bad pixel detection, the density of pixels that light up at the same time is reduced, thereby improving the success rate of bad pixel detection.

[0094] Wherein, in step S40, it includes:

[0095] S41: Generating a detection order after sorting based on the group identifiers of each pixel group, wherein the detection order includes all group identifiers.

[0096] In this embodiment, the detection order refers to information used to determine the lighting order of each pixel group; when performing the lighting work in each order, it is necessary to complete the lighting of five color images of pure white, pure black, pure red, pure green, and pure blue.

[0097] Specifically, the pixel groups are sorted based on their group identifiers to generate a detection order, wherein the detection order includes all group identifiers of the display screen to be tested.

[0098] S42: determining a target pixel group based on the detection order, and generating a detection display instruction based on the determined target pixel group to control the target pixel group of the display screen to be tested to perform a display operation of the detection image group.

[0099] Specifically, a target pixel group is determined based on the detection order to generate a detection display instruction according to the determined target pixel group, and the target pixel group of the display screen to be tested is controlled to perform the display of the detection image group based on the detection display instruction, so as to control a part of the pixels evenly distributed on the display screen to be tested to display the detection image group, so as to reduce the number of pixels that light up at the same time, reduce the influence of light between adjacent pixels, and improve the accuracy of the functional integrity detection of each pixel.

[0100] S43: After the detection image group display work of the target pixel group is completed, the pixel group corresponding to the next group identifier is determined as the target pixel group based on the detection order, and a detection display instruction is generated based on the determined target pixel group.

[0101] Specifically, when the detection image group display work of the target pixel group is completed, the pixel group corresponding to the next group identifier is determined as the target pixel group based on the detection order to generate a new detection display instruction, thereby continuing to detect the functional integrity of the pixel points until all pixel groups have completed the detection.

[0102] S50: Obtaining display effect images of the display screen to be tested one by one and inputting them into a preset image bad pixel recognition model to generate bad pixel detection result information.

[0103] In this embodiment, the display effect image refers to an image captured when the display screen to be tested displays a pure color test image.

[0104] Specifically, when the display screen to be tested lights up the detection image group one by one, the display screen to be tested is photographed by the shooting component to obtain the corresponding display effect image and input it into the image bad pixel recognition model, so as to use the image processing algorithm to perform bad pixel detection to generate bad pixel detection result information, thereby improving the bad pixel detection efficiency of the LCD screen.

[0105] Wherein, in step S50, it includes:

[0106] S51: Obtain display effect images of the display screen to be tested one by one and input them into a preset image bad pixel recognition model, and identify abnormal pixel points in each display effect image one by one through an image recognition algorithm.

[0107] In this embodiment, one display effect image corresponds to one pure color detection image displayed by one pixel group; an abnormal pixel point refers to a pixel point showing abnormal color in the display effect image.

[0108] Specifically, each display effect image corresponds to a pure color detection image displayed by a pixel group. The display effect images obtained by the shooting device are obtained one by one and input into a preset image bad pixel recognition model. The image recognition algorithm is used to identify whether there are abnormal pixels in each display effect image one by one.

[0109] S52: When abnormal pixel points are detected, the abnormal items and pixel coordinates of each abnormal pixel point are recorded to generate bad pixel detection result information.

[0110] In this embodiment, the abnormal item refers to the information of the abnormal type contained in the abnormal pixel point.

[0111] Specifically, when an abnormal pixel is detected, the abnormal item and pixel coordinates of each abnormal pixel are recorded, so that bad pixel detection result information is generated according to the abnormal items and abnormal coordinates of all detected abnormal pixels.

[0112] Among them, in S51, the step of identifying abnormal pixels in each display effect image one by one by using an image recognition algorithm includes:

[0113] S511: Determine the corresponding standard light color value and standard brightness value based on the pure color detection image corresponding to the display effect image, and identify the measured light color value and measured brightness value of each pixel in the display effect image.

[0114] In this embodiment, the abnormal items of abnormal pixels include color display abnormalities of several colors such as white, black, red, green, and blue, and color display damage of several colors such as white, black, red, green, and blue; the standard light color value and the standard brightness value refer to the light color value and brightness value that each pixel point on the display screen to be tested should theoretically display when the pure color detection image is displayed; the measured light color value and the measured brightness value refer to the light color value and brightness value actually measured for each pixel point in the display effect image.

[0115] Specifically, based on the pure color detection image corresponding to the display effect image, the corresponding standard light color value and standard brightness value are determined, and the measured light color value and measured brightness value of each pixel in the display effect image are identified through the image recognition algorithm, so as to judge whether there is any abnormality in each pixel based on the comparison between the standard light color value, standard brightness value and the measured light color value, measured brightness value.

[0116] S512: Calculate the light color deviation rate and brightness deviation rate of the target pixel, and compare the light color deviation rate and brightness deviation rate with the normal parameter deviation range and the abnormal parameter range to determine the abnormal item information of the target pixel.

[0117] In this embodiment, a normal parameter deviation interval and an abnormal parameter interval are set for each color of the pixel point; wherein, the value ranges of the normal parameter deviation interval and the abnormal parameter interval set for different colors may be different, for example, the normal parameter deviation interval for the brightness values ​​of all colors is set to (-10%, +10%), and the abnormal parameter interval can be set to (-50%, -10%] and [+10%, +50%); the normal parameter deviation interval for the light color values ​​of all colors is set to (-5%, +5%), and the abnormal parameter interval can be set to (-10%, -5%] and [+5%, +10%); wherein, the light color deviation rate refers to the quotient of the absolute value of the difference between the sum of the R value, G value, and B value in the standard light color value and the R value, G value, and B value in the measured light color value and 255.

[0118] Specifically, based on the standard light color value, standard brightness value and the measured light color value, measured brightness value, the light color deviation rate and brightness deviation rate are calculated, and the light color deviation rate and brightness deviation rate are compared with the normal parameter deviation interval and abnormal parameter interval to determine whether there are abnormal items at the target pixel point and which abnormal items exist, thereby generating abnormal item information.

[0119] Preferably, when both the light color deviation rate and the brightness deviation rate of color X are within the normal parameter deviation interval, the abnormal item information is that color X is normal; when one of the light color deviation rate or the brightness deviation rate of color X is within the abnormal parameter interval, and both the light color deviation rate and the brightness deviation rate do not exceed the union of the normal parameter deviation interval and the abnormal parameter interval, the abnormal item information is that the color display of color X is abnormal; when one of the light color deviation rate or the brightness deviation rate of color X exceeds the union of the normal parameter deviation interval and the abnormal parameter interval, the abnormal item information is that the color display of color X is damaged.

[0120] Wherein, in step S52, it includes:

[0121] The display screen to be tested is provided with several annular display areas. When the display screen to be tested is a rectangular display screen with a resolution of 1280×720, the central display area in the display screen to be tested is a rectangle, and the other display areas are rectangular rings with a rectangular hollow area in the middle. There is a surrounding or surrounded relationship between adjacent display areas, and each pixel belongs to one display area; preferably, the display screen to be tested is provided with 10 annular display areas, then the central display area is a rectangular area of ​​128×72, and the remaining display areas are all rectangular rings with a width of 64 pixels in the horizontal direction (row direction) and a width of 36 pixels in the vertical direction (column direction).

[0122] Each display area is associated with a center value assigned to reflect the proximity of the area to the center of the display screen to be tested. The center value assigned is positively correlated with the proximity to the center of the display screen to be tested. Preferably, when the display screen to be tested is provided with 10 annular display areas, the center value assigned to the outermost display area is 1, the center value assigned to the innermost display area is 10, and the difference in the center values ​​assigned to adjacent display areas is 1.

[0123] The closer the bad pixels on the LCD screen are to the center of the screen to be tested, the greater the impact on the display effect of the screen to be tested. Therefore, several annular display areas are set for the screen to be tested and associated with center values ​​that are positively correlated with the degree of proximity to the center of the screen to be tested, so as to facilitate data correction in the subsequent evaluation of the impact of abnormal pixels on the display quality of the screen to be tested.

[0124] S521: Obtain pixel coordinates of each abnormal pixel point, and determine the corresponding display area and center value based on the pixel coordinates.

[0125] Specifically, the pixel coordinates of each abnormal pixel point are obtained to determine the corresponding display area and center value assignment, so as to facilitate the subsequent evaluation of the display quality of the display screen to be tested in combination with the area where the abnormal pixel point is located.

[0126] S522: Obtain the abnormal item of each abnormal pixel point, and calculate the quality assessment value based on the abnormal item, the centrality assignment and a preset quality assessment calculation formula.

[0127] In this embodiment,

[0128] The quality assessment formula is:

[0129]

[0130] Among them, S is the quality assessment value, i is the abnormal pixel mark, m is the number of abnormal pixels, and Y i is the abnormal evaluation value of abnormal pixel i, P i is the regional correction value of abnormal pixel i, j is the abnormal item identifier, n is the number of abnormal items, k j is the weight coefficient of project ID j, X j Assign an abnormal value to item ID j; Y maxi is the abnormal evaluation value Y i The upper limit value of is the area correction factor, k A , k B are the first coefficient and the second coefficient respectively, where the first coefficient and the second coefficient are constants, R i Assign a value to the centrality, R max Assign the highest value to degree centrality.

[0131] Specifically, the abnormal items of each abnormal pixel are obtained, and the quality evaluation value is calculated in combination with the centrality assignment and the quality evaluation calculation formula to obtain the display quality of the display screen to be tested, wherein the quality evaluation value is related to the number of abnormal pixels, the abnormality evaluation value and the regional correction value, so as to improve the scientific nature of the quality evaluation value in evaluating the display quality of the display screen to be tested, wherein the abnormality evaluation value is used to evaluate the abnormality degree of the abnormal pixel, and the more abnormal items the pixel has and the larger the weight coefficient corresponding to the abnormal item, the larger the abnormality evaluation value, and the regional correction value is used to evaluate the influence of the location of the abnormal pixel on the display quality, and the larger the centrality assignment of the pixel, the larger the regional correction value; the abnormality evaluation value is set with an upper limit value, which is used to limit the contribution of pixels with more abnormal items to the overall quality evaluation value.

[0132] S523: Generate bad pixel detection result information based on the quality evaluation standard and the quality evaluation value.

[0133] In this embodiment, the quality evaluation standard refers to a standard for evaluating whether the quality of the display screen to be tested is qualified or the quality grade of the display screen to be tested. Specifically, it can be determined whether the display screen to be tested is qualified or the quality grade of the display screen to be tested according to the size of the quality evaluation value, or it can be determined whether the display screen to be tested is qualified or the quality grade of the display screen to be tested according to or in addition to specific conditions. For example, if more than three abnormal pixels appear on the display screen, it is unqualified; if one abnormal pixel appears in a specific central area of ​​the display screen, it is unqualified, etc.

[0134] Specifically, the bad pixel detection result information is generated according to the quality evaluation standard and the quality evaluation value, so that the detection personnel can know the bad pixel situation and detection result of the display screen to be tested.

[0135] It should be understood that the serial numbers of the steps in the above embodiments do not imply a sequence of execution. The execution sequence 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 the present application.

[0136] Embodiment 2

[0137] A bad pixel detection system for a liquid crystal display screen corresponds to the bad pixel detection method for a liquid crystal display screen in the above embodiment.

[0138] like Figure 2 As shown, the bad pixel detection system for liquid crystal display includes a pixel distribution analysis module, a pixel block analysis module, a pixel group analysis module, a detection control module and a bad pixel detection module. The detailed description of each functional module is as follows:

[0139] A pixel distribution analysis module is used to obtain pixel distribution information of the display screen to be tested, and mark the corresponding pixel coordinates of each pixel point based on the pixel distribution information;

[0140] A pixel block analysis module is used to divide the pixel points of the display screen to be tested into several pixel blocks based on the pixel coordinates after receiving the detection signal, and mark each pixel block with a block identifier;

[0141] A pixel group analysis module, used to determine the block coordinates of each pixel point based on the pixel coordinates and the block identifier, divide each pixel point into a plurality of pixel groups based on the block coordinates, and mark each pixel group with a group identifier;

[0142] A detection control module, used to set a detection order based on the group identification of each pixel group, and control each pixel group to display a preset detection image group one by one based on the detection order;

[0143] The bad pixel detection module is used to obtain the display effect images of the display screen to be tested one by one and input them into a preset image bad pixel recognition model to generate bad pixel detection result information.

[0144] The pixel block analysis module further includes:

[0145] A pixel block size determination submodule, used for receiving a detection signal to determine a shooting resolution, and determining a pixel block density and a corresponding pixel block size based on the shooting resolution;

[0146] The block identification marking submodule is used to divide each pixel point into a number of pixel blocks based on the pixel coordinates of each pixel point and the size of the pixel block, and mark each pixel block with a block identification.

[0147] The pixel group analysis module further includes:

[0148] A block coordinate determination submodule, used to re-determine the block coordinates of each pixel point in the pixel block based on the pixel coordinates and the block identifier;

[0149] The group identification marking submodule is used to divide all pixel points with the same block coordinates into the same pixel group based on the block coordinates of each pixel point to generate a plurality of pixel groups, and mark each pixel group with a group identification.

[0150] Among them, the detection control module also includes:

[0151] A detection order generation submodule, used to generate a detection order after sorting the group identifiers of each pixel group, wherein the detection order includes all group identifiers;

[0152] The first detection submodule is used to determine the target pixel group based on the detection order, and generate a detection display instruction based on the determined target pixel group to control the target pixel group of the display screen to be tested to perform the display work of the detection image group;

[0153] The subsequent detection submodule is used to determine the pixel group corresponding to the next group identifier as the target pixel group based on the detection order after the detection image group display work of the target pixel group is completed, and generate a detection display instruction based on the determined target pixel group.

[0154] Among them, the bad pixel detection module also includes:

[0155] The abnormal pixel point identification submodule is used to obtain the display effect images of the display screen to be tested one by one and input them into the preset image bad pixel identification model, and identify the abnormal pixels in each display effect image one by one through the image recognition algorithm;

[0156] The bad pixel detection and analysis submodule is used to record the abnormal items and pixel coordinates of each abnormal pixel when an abnormal pixel is detected, so as to generate bad pixel detection result information.

[0157] Among them, the abnormal pixel recognition submodule also includes:

[0158] A pixel detection submodule is used to determine the corresponding standard light color value and standard brightness value based on the pure color detection image corresponding to the display effect image, and identify the measured light color value and measured brightness value of each pixel in the display effect image;

[0159] The pixel comparison submodule is used to calculate the light color deviation rate and brightness deviation rate of the target pixel, and compare the light color deviation rate and brightness deviation rate with the normal parameter deviation range and abnormal parameter range to determine the abnormal item information of the target pixel.

[0160] Among them, the bad pixel detection and analysis submodule also includes:

[0161] The abnormal pixel point analysis submodule is used to obtain the pixel coordinates of each abnormal pixel point, and determine the corresponding display area and center value based on the pixel coordinates;

[0162] The quality assessment value calculation submodule is used to obtain the abnormal items of each abnormal pixel point and calculate the quality assessment value based on the abnormal items, the centrality assignment and the preset quality assessment calculation formula;

[0163] The bad pixel detection result generation submodule is used to generate bad pixel detection result information based on the quality evaluation standard and the quality evaluation value.

[0164] For the specific limitations of the bad pixel detection system for liquid crystal display screens, please refer to the limitations of the bad pixel detection method for liquid crystal display screens mentioned above, which will not be repeated here; the various modules in the above-mentioned bad pixel detection system for liquid crystal display screens can be implemented in whole or in part through software, hardware and their combination; the above-mentioned modules can be embedded in or independent of the processor in the computer device in the form of hardware, or can be stored in the memory of the computer device in the form of software, so that the processor can call and execute the corresponding operations of the above-mentioned modules.

[0165] Embodiment 3

[0166] A computer device, which may be a server, may have an internal structure as shown in Figure 3 As shown. The computer device includes a processor, a memory, a network interface and a database connected through a system bus. Among them, the processor of the computer device is used to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for the operation of the operating system and the computer program in the non-volatile storage medium. The database of the computer device is used to store data such as pixel distribution information, pixel coordinates, detection signals, block identifiers, block coordinates, group identifiers, detection orders, detection image groups, display effect images, image bad pixel recognition models and bad pixel detection result information. The network interface of the computer device is used to communicate with an external terminal through a network connection. When the computer program is executed by the processor, a bad pixel detection method for a liquid crystal display screen is implemented.

[0167] In one embodiment, a computer device is provided, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor implements the following steps when executing the computer program:

[0168] S10: Obtain pixel distribution information of the display screen to be tested, and mark corresponding pixel coordinates of each pixel point based on the pixel distribution information;

[0169] S20: After receiving the detection signal, the pixel points of the display screen to be tested are divided into a number of pixel blocks based on the pixel coordinates, and a block identifier is marked on each pixel block;

[0170] S30: determining the block coordinates of each pixel point based on the pixel coordinates and the block identifier, dividing each pixel point into a plurality of pixel groups based on the block coordinates, and marking each pixel group with a group identifier;

[0171] S40: setting a detection order based on the group identifier of each pixel group, and controlling each pixel group to display a preset detection image group one by one based on the detection order;

[0172] S50: Obtaining display effect images of the display screen to be tested one by one and inputting them into a preset image bad pixel recognition model to generate bad pixel detection result information.

[0173] In one embodiment, a computer readable storage medium is provided, on which a computer program is stored, and when the computer program is executed by a processor, the following steps are implemented:

[0174] S10: Obtain pixel distribution information of the display screen to be tested, and mark corresponding pixel coordinates of each pixel point based on the pixel distribution information;

[0175] S20: After receiving the detection signal, the pixel points of the display screen to be tested are divided into a number of pixel blocks based on the pixel coordinates, and a block identifier is marked on each pixel block;

[0176] S30: determining the block coordinates of each pixel point based on the pixel coordinates and the block identifier, dividing each pixel point into a plurality of pixel groups based on the block coordinates, and marking each pixel group with a group identifier;

[0177] S40: setting a detection order based on the group identifier of each pixel group, and controlling each pixel group to display a preset detection image group one by one based on the detection order;

[0178] S50: Obtaining display effect images of the display screen to be tested one by one and inputting them into a preset image bad pixel recognition model to generate bad pixel detection result information.

[0179] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in the present application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink), DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0180] Those skilled in the art can clearly understand that for the convenience and simplicity of description, only the division of the above-mentioned functional units and modules is used as an example. 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.

[0181] The embodiments described above 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, it should be understood by those skilled in the art that the technical solutions described in the aforementioned embodiments may still be modified, or some of the features thereof may be replaced by equivalents. Such modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present application, and should all be included in the protection scope of the present application.

Claims

1. A method for detecting bad pixels of a liquid crystal display, characterized in that: include: Obtain pixel distribution information of the display screen to be tested, and mark the corresponding pixel coordinates of each pixel point based on the pixel distribution information; After receiving the detection signal, the pixel points of the display screen to be tested are divided into a number of pixel blocks based on the pixel coordinates, and a block identifier is marked on each pixel block; Based on the pixel coordinates and the block identifier, determine the block coordinates of each pixel point, divide each pixel point into a plurality of pixel groups based on the block coordinates, and mark each pixel group with a group identifier; Setting a detection order based on the group identifier of each pixel group, and controlling each pixel group to display a preset detection image group one by one based on the detection order; Obtaining display effect images of the display screen to be tested one by one and inputting them into a preset image bad pixel recognition model to generate bad pixel detection result information; The pixel block includes a number of adjacent pixel points, and the arrangement of the pixel points in each pixel block is consistent; the pixel group includes a number of pixel points with the same block coordinates; the detection image group includes a number of pure color detection images; the display effect image refers to an image taken when the pure color detection image is displayed on the display screen to be tested.

2. The bad pixel detection method for a liquid crystal display according to claim 1, characterized in that: After receiving the detection signal, the pixel points of the display screen to be tested are divided into a number of pixel blocks based on the pixel coordinates, and a block identifier is marked on each pixel block, including: receiving a detection signal to determine a shooting resolution, and determining a pixel block density and a corresponding pixel block size based on the shooting resolution; Based on the pixel coordinates of each pixel point and the size of the pixel block, each pixel point is divided into a number of pixel blocks, and a block identifier is marked on each pixel block; The detection signal records the shooting resolution, where the shooting resolution refers to the resolution of the shooting device that displays the effect image; the pixel block density is less than the shooting resolution.

3. The bad pixel detection method for a liquid crystal display according to claim 1, characterized in that: The method of determining the block coordinates of each pixel point based on the pixel coordinates and the block identifier, dividing each pixel point into a plurality of pixel groups based on the block coordinates, and marking a group identifier for each pixel group includes: Based on the pixel coordinates and the block identifier, re-determine the block coordinates of each pixel point in the pixel block; Based on the block coordinates of each pixel point, all the pixel points with the same block coordinates are divided into the same pixel group to generate a plurality of pixel groups, and each pixel group is marked with a group identifier.

4. The bad pixel detection method for a liquid crystal display screen according to claim 1, characterized in that: The method of setting the detection order based on the group identifier of each pixel group and controlling each pixel group to display a preset detection image group one by one based on the detection order includes: Generating a detection order after sorting based on the group identifiers of each pixel group, wherein the detection order includes all group identifiers; Determine the target pixel group based on the detection order, and generate a detection display instruction based on the determined target pixel group to control the target pixel group of the display screen to be tested to perform the display work of the detection image group; When the detection image group display work of the target pixel group is completed, the pixel group corresponding to the next group identifier is determined as the target pixel group based on the detection order, and the detection display instruction is generated based on the determined target pixel group.

5. The bad pixel detection method for a liquid crystal display screen according to claim 1, characterized in that: One of the display effect images corresponds to one pure color detection image displayed by one pixel group; The step of acquiring the display effect images of the display screen to be tested one by one and inputting them into a preset image bad pixel recognition model to generate bad pixel detection result information includes: Obtain the display effect images of the display screen to be tested one by one and input them into the preset image bad pixel recognition model, and identify the abnormal pixels in each display effect image one by one through the image recognition algorithm; When abnormal pixels are detected, the abnormal items and pixel coordinates of each abnormal pixel are recorded to generate bad pixel detection result information; The abnormal pixel point refers to a pixel point showing abnormal color in the display effect image.

6. The bad pixel detection method for a liquid crystal display screen according to claim 5, characterized in that: The abnormal items of the abnormal pixel point include color display abnormality and color display damage of several colors; a normal parameter deviation interval and an abnormal parameter interval are set for each color of the pixel point; The step of identifying abnormal pixels in each display effect image one by one by using an image recognition algorithm includes: Determine the corresponding standard light color value and standard brightness value based on the pure color detection image corresponding to the display effect image, and identify the measured light color value and measured brightness value of each pixel in the display effect image; Calculate the light color deviation rate and brightness deviation rate of the target pixel, and compare the light color deviation rate and brightness deviation rate with the normal parameter deviation range and abnormal parameter range to determine the abnormal item information of the target pixel.

7. The bad pixel detection method for a liquid crystal display screen according to claim 5, characterized in that: The display screen to be tested is provided with a plurality of annular display areas, each display area is associated with a center value used to reflect the proximity of the area to the center of the display screen to be tested, and the center value is positively correlated with the proximity of the center of the display screen to be tested; When abnormal pixels are detected, the abnormal items and pixel coordinates of each abnormal pixel are recorded to generate bad pixel detection result information, including: Obtain the pixel coordinates of each abnormal pixel point, and determine the corresponding display area and center value based on the pixel coordinates; Obtain the abnormal items of each abnormal pixel point, and calculate the quality assessment value based on the abnormal items, the centrality assignment and the preset quality assessment calculation formula; Generate bad pixel detection result information based on the quality assessment standard and the quality assessment value; The quality assessment calculation formula is: Among them, S is the quality assessment value, i is the abnormal pixel mark, m is the number of abnormal pixels, and Y i is the abnormal evaluation value of abnormal pixel i, P i is the regional correction value of abnormal pixel i, j is the abnormal item identifier, n is the number of abnormal items, k j is the weight coefficient of project ID j, X j Assign an abnormal value to item ID j; Y maxi is the abnormal evaluation value Y i The upper limit value of is the area correction factor, k A , k B are the first coefficient and the second coefficient, R i Assign a value to the centrality, R max Assign the highest value to centrality.

8. A bad pixel detection system for a liquid crystal display, characterized in that: The bad pixel detection method for a liquid crystal display screen as claimed in any one of claims 1 to 7 comprises: A pixel distribution analysis module is used to obtain pixel distribution information of the display screen to be tested, and mark the corresponding pixel coordinates of each pixel point based on the pixel distribution information; A pixel block analysis module is used to divide the pixel points of the display screen to be tested into several pixel blocks based on the pixel coordinates after receiving the detection signal, and mark each pixel block with a block identifier; A pixel group analysis module, used to determine the block coordinates of each pixel point based on the pixel coordinates and the block identifier, divide each pixel point into a plurality of pixel groups based on the block coordinates, and mark each pixel group with a group identifier; A detection control module, used to set a detection order based on the group identification of each pixel group, and control each pixel group to display a preset detection image group one by one based on the detection order; A bad pixel detection module is used to obtain the display effect images of the display screen to be tested one by one and input them into a preset image bad pixel recognition model to generate bad pixel detection result information; The pixel block includes a number of adjacent pixel points, and the arrangement of the pixel points in each pixel block is consistent; the pixel group includes a number of pixel points with the same block coordinates; the detection image group includes a number of pure color detection images; the display effect image refers to an image taken when the pure color detection image is displayed on the display screen to be tested.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that: When the processor executes the computer program, the steps of the bad pixel detection method for a liquid crystal display screen as claimed in 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 bad pixel detection method for a liquid crystal display screen as claimed in any one of claims 1 to 7 are implemented.

Images