Display screen defect rating method, system and device
By splitting and corroding the background area of the display screen image and combining the number of missing sub-pixels to determine the defect level, the subjectivity of traditional manual judgment is solved, and efficient and accurate defect rating and detection are achieved.
Patent Information
- Application Number
- CN202211310186.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2022-10-25
- Publication Date
- 2025-10-03
- Estimated Expiration
- 2042-10-25
AI Technical Summary
Traditional display screen defect review methods rely on manual judgment, which is subjective and inconsistent, making it difficult to form accurate defect rating standards.
By extracting the background area of the display screen image, splitting it into images of different channels, corroding the missing sub-pixel positions, and determining the defect level based on the number of missing sub-pixels, the missing pixel positions are filled by combining vertical and horizontal corrosion processing to adapt to different sub-pixel arrangements.
It achieves efficient and accurate defect rating, reduces missed inspections and over-inspections, improves the efficiency and consistency of defect detection, and is suitable for different types of display screens.
Smart Images

Figure CN115641797B_ABST
Abstract
Description
Technical Field
[0001] The present application relates to the technical field of defect identification, and more specifically, to a display screen defect rating method, system, and device. Background Art
[0002] With the advancement of display technologies like LCD and OLED, the size of the red, green, and blue sub-pixels that make up a pixel has gradually decreased, posing a greater challenge to display defect detection. While further optimizing the detection limit, the interference of pixels on defect detection increases simultaneously, making it very easy to over-inspect. Therefore, a review station is established to reduce the over-inspection of dot-type defects on the display.
[0003] Traditional review stations only transmit defect images to manual operation terminals, which then manually judge the defects of the display panels, classify the defect types and locations, and grade the defects detected by the inspection stations. The defects detected by the inspection stations are then reviewed based on the defect levels to determine whether they are real, so as to further formulate treatment recommendations.
[0004] However, manual defect determination is influenced by the experience of the staff and is highly subjective. Different staff members will determine defects based on their own work experience, making it difficult to form consistent determination criteria. Therefore, further optimizing the defect review method is crucial for efficient and accurate defect identification. Summary of the Invention
[0005] In order to solve the problem of inaccurate traditional defect review methods, the present application provides a display screen defect rating method, system and device.
[0006] The embodiment of the present application is implemented as follows:
[0007] A first aspect of an embodiment of the present application provides a display screen defect rating method, comprising:
[0008] extracting a background area of a received first image to obtain a background area image, wherein the first image corresponds to an image of a display screen containing a defect;
[0009] Splitting the background area image into images of different channels, wherein the channels are divided according to the types of sub-pixels in the first image, and the number of the channels is the same as the number of the sub-pixel types;
[0010] Corroding the image of each channel to obtain positions of missing sub-pixels, wherein a set of positions of missing sub-pixels in each channel is a defect in the first image;
[0011] Partitioning the image of each channel so that sub-pixels in the same partition are arranged in the same manner;
[0012] When there is no sub-pixel connection in the partition, the number of missing sub-pixels at the defective location of each partition is counted according to the partition to which the missing sub-pixel position belongs, and the defect level is determined according to the number of missing sub-pixels.
[0013] In some embodiments, after partitioning the image of each channel, the method further includes:
[0014] When there are sub-pixel connections in the partitions, calculating the average number of sub-pixels in a sub-pixel connection group in each of the partitions, the sub-pixel connection group being a sub-pixel connection area in each of the partitions;
[0015] When the actual number of sub-pixels in the sub-pixel connection group is less than the corresponding average number of sub-pixels, retaining the missing sub-pixels in the sub-pixel group as the missing sub-pixels in the partition, and the number of missing sub-pixels is used to determine the defect rating result;
[0016] The number of missing sub-pixels in each channel is obtained by summing the number of missing sub-pixels in each partition in the channel.
[0017] In some embodiments, after the step of obtaining the background area image, the method further includes:
[0018] When the sub-pixel arrangement in the first image is not affected by position, performing vertical and horizontal erosion on the pixels in the background area image, and the remaining area after the erosion is the position of the missing pixel;
[0019] The number of missing sub-pixels is determined by the relationship between the physical size of the missing sub-pixel position and the interval between adjacent sub-pixels, and the number of missing sub-pixels is used to determine the defect rating result.
[0020] In some embodiments, further comprising:
[0021] Filling defective positions in the first image based on the acquired type and number of missing sub-pixels;
[0022] Output the first image after filling the missing pixels.
[0023] In some embodiments, the defect rating result is determined based on the number of missing sub-pixels, or the number of missing sub-pixels is summed to obtain the number of missing pixels to determine the defect rating result.
[0024] A second aspect of an embodiment of the present application provides a display screen defect rating system, comprising:
[0025] an image pre-processing module, configured to extract a background area of a received first image to obtain a background area image, wherein the first image corresponds to an image of a display screen containing a defect;
[0026] a channel splitting module, configured to split the background area image into images of different channels, wherein the channels are divided according to the types of sub-pixels in the first image, and the number of the channels is the same as the number of the sub-pixel types;
[0027] an image erosion module, configured to erode the image of each channel to obtain positions of missing sub-pixels, wherein the set of positions of missing sub-pixels in each channel is a defect in the first image;
[0028] An image partitioning module, configured to partition the image of each channel so that sub-pixels in the same partition are arranged in the same manner;
[0029] Defect rating module: when there is no sub-pixel connection in the partition, count the number of missing sub-pixels at the defective part of each partition according to the partition to which the missing sub-pixel position belongs, and determine the defect level according to the number of missing sub-pixels.
[0030] In some embodiments, after the step of partitioning the image of each channel, the defect rating module is further configured to:
[0031] When there are sub-pixel connections in the partitions, calculating the average number of sub-pixels in a sub-pixel connection group in each of the partitions, the sub-pixel connection group being a sub-pixel connection area in each of the partitions;
[0032] When the actual number of sub-pixels in the sub-pixel connection group is less than the corresponding average number of sub-pixels, retaining the missing sub-pixels in the sub-pixel group as the missing sub-pixels in the partition, and the number of missing sub-pixels is used to determine the defect rating result;
[0033] The number of missing sub-pixels in each channel is obtained by summing the number of missing sub-pixels in each partition in the channel.
[0034] In some embodiments, after the step of obtaining the background area image, the image erosion module is further configured to:
[0035] When the sub-pixel arrangement in the first image is not affected by position, performing vertical and horizontal erosion on the pixels in the background area image, and the remaining area after the erosion is the position of the missing pixel;
[0036] The defect rating module is also used to:
[0037] When the sub-pixel arrangement in the first image is not affected by position, the number of missing sub-pixels is determined by the relationship between the physical size of the missing sub-pixel position and the interval between adjacent sub-pixels, and the number of missing sub-pixels is used to determine the defect rating result.
[0038] In some embodiments, the defect rating module is further configured to:
[0039] Filling defective positions in the first image based on the acquired type and number of missing sub-pixels;
[0040] Output the first image after filling the missing pixels.
[0041] A third aspect of the embodiments of the present application provides a display screen defect rating device, comprising: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus;
[0042] The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform the operation of any display screen defect rating method described in the first aspect.
[0043] The beneficial effects of the present application are as follows: by extracting and counting missing pixels, and determining the defect level according to the number of missing pixels, it is helpful to efficiently determine defects and reduce the phenomenon of missed detection or over-detection during the display screen defect detection process; further by splitting the background area image into images of different channels for subsequent processing, it is helpful to analyze each type of sub-pixel separately, making the statistical processing process of the entire pixel efficient and convenient; further by partitioning the image of each channel, it is possible to effectively reduce the interference caused by the different positions of sub-pixels in the process of determining the number of sub-pixels. BRIEF DESCRIPTION OF THE DRAWINGS
[0044] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.
[0045] Figure 1 1 is a flow chart of a display screen defect rating method according to one or more embodiments of the present application;
[0046] Figure 2 Schematic diagram of the working state of the optical system in the display defect rating method according to one or more embodiments of the present application;
[0047] Figure 3This is a schematic diagram of a first image received in a display defect rating method according to one or more embodiments of the present application;
[0048] Figure 4 A schematic diagram of a sub-pixel arrangement of an OLED display screen in a display screen defect rating method according to one or more embodiments of the present application;
[0049] Figure 5 1 is a flow chart of a method for rating display screen defects according to one or more embodiments of the present application, when sub-pixels are connected in a partition;
[0050] Figure 6 This is a flow chart of rating defects of an LCD display screen in a display screen defect rating method according to one or more embodiments of the present application;
[0051] Figure 7 Schematic diagram of the structure of a display screen defect rating system according to one or more embodiments of the present application;
[0052] Figure 8 Schematic diagram of the structure of a display screen defect rating device according to one or more embodiments of the present application. DETAILED DESCRIPTION
[0053] In order to make the purpose, implementation mode and advantages of the present application clearer, the exemplary implementation mode of the present application will be clearly and completely described below in conjunction with the drawings in the exemplary embodiments of the present application. Obviously, the described exemplary embodiments are only part of the embodiments of the present application, not all of the embodiments.
[0054] It should be noted that the brief descriptions of terms in this application are only for the purpose of facilitating the understanding of the embodiments described below, and are not intended to limit the embodiments of this application. Unless otherwise specified, these terms should be understood according to their ordinary and usual meanings.
[0055] In the specification and claims of this application and the accompanying drawings, the terms "first," "second," "third," etc. are used to distinguish similar or similar objects or entities, and are not necessarily intended to limit a particular order or sequence, unless otherwise noted. It should be understood that the terms used in this manner are interchangeable under appropriate circumstances.
[0056] The terms "comprise," "comprises," and "having," and any variations thereof, are intended to cover but not exclude inclusion; for example, a product or device comprising a list of components is not necessarily limited to all the components expressly listed but may include other components not expressly listed or inherent to such product or device.
[0057] Figure 1The figure is a flow chart of the display defect rating method. Figure 1 As shown, in a first aspect, a display screen defect rating method specifically comprises the following steps:
[0058] In step 100, a background area of a received first image is extracted to obtain a background area image, wherein the first image corresponds to an image of a display screen containing a defect;
[0059] An optical system that uses a color industrial camera and a telecentric lens can be used to capture images. The telecentric lens has a magnifying effect on pixels, which can magnify smaller pixels and ensure that each pixel is clear and independent. Moreover, within a certain object distance range, the image magnification obtained by the telecentric lens will not change, which is conducive to accurately measuring the size information of the pixel. In addition, the color camera can distinguish the color of missing pixels very well, and perform separate statistics to facilitate subsequent defect level determination. The camera can be a color area array camera or a color line array camera. The color industrial camera is used in conjunction with a telecentric lens, such as Figure 2 As shown, the display screen can be imaged directly, and the defect position can be ensured to enter the field of view and be as close to the center of the field of view as possible according to the defect coordinates, so that the defect position can be magnified and imaged; wherein, the defect coordinates are determined by a model used to calibrate the display area of the display screen and the range of movement of the moving mechanism adapted to the camera during the previous detection process, and then the coordinates of the defect are converted into axial coordinates, and then the moving mechanism drives the camera to the appropriate defect position according to the axial coordinates.
[0060] When in use, under the premise of direct viewing and clear focus, the optical system captures the local display state when the pixel is lit and converts it into a first image. At this time, the first image includes defects in the display screen, such as Figure 3 In the first image shown, the black area is the defect area. Now, extract the background area of the first image. Since the background area is black, a smaller threshold segmentation method can be used to obtain the background area. Generally speaking, the extracted background area is a continuous area with holes, and the holes are normally lit pixels.
[0061] In step 200 , the background area image is split into images of different channels. The channels are divided according to the types of sub-pixels in the first image, and the number of channels is the same as the number of sub-pixel types.
[0062] It is understandable that for OLED screens, since pixel size and spacing may be different, pixels are arranged in different ways, and there are cases where pixels are connected (that is, several consecutive pixels are the same color). Therefore, when determining the type of missing pixels, it is necessary to split the background area image into different channels according to the sub-pixel type in the first image. At present, since pixels are generally divided into three types of sub-pixels: R, G, and B, the background area image is split into images of three different channels: R, G, and B.
[0063] In step 300 , the image of each channel is eroded to obtain the position of the missing sub-pixel. The set of the positions of the missing sub-pixels in each channel is the defect in the first image.
[0064] The vertical erosion is performed using the vertical kernel scale, while the horizontal erosion is performed using the horizontal kernel scale. The vertical kernel scale is the spacing between vertically adjacent sub-pixels in each channel, and the horizontal kernel scale is the spacing between horizontally adjacent sub-pixels in each channel. Both the spacing between vertically adjacent sub-pixels and the spacing between horizontally adjacent sub-pixels can be obtained through the previous modeling process.
[0065] In step 400 , in order to eliminate the interference caused by different sub-pixel positions on the determination of the number of sub-pixels, the image of each channel is partitioned so that the sub-pixels in the same partition are arranged in the same manner.
[0066] Among them, for OLED type display screens, since the arrangement of its sub-pixels is diverse, after splitting the background area image into images of different channels, it is also necessary to partition the image of each channel so that the arrangement of the sub-pixels in the same partition is the same. It can be understood that the specific partitioning method can be determined according to the actual arrangement of the sub-pixels in the first image. In this embodiment, the sub-pixels in odd-numbered rows and even-numbered rows in the first image are arranged in the same manner as an example. That is, from top to bottom, the pixels in each row or column of the first image are named 0, 1, 2, 3...N rows or columns, where the 0th, 2nd, 4th, 6th and 8th...rows or columns are even rows, and the 1st, 3rd, 5th, 7th and 9th...rows or columns are odd rows. At this time, reference Figure 4 Schematic diagram of sub-pixel arrangement. The pixel arrangement of each interlaced row is exactly the same. After partitioning each channel image into odd and even areas, the sub-pixel arrangement method in each odd area is the same, and the sub-pixel arrangement method in each even area is the same. The pixel distribution is evenly arranged, eliminating the problem of special processing caused by different pixel positions.
[0067] In step 500 , when there is no sub-pixel connection in the partition, the number of missing sub-pixels at the defective location of each partition is counted according to the partition to which the missing sub-pixel position belongs, and the defect level is determined based on the number of missing sub-pixels.
[0068] Among them, when there is no sub-pixel connection in the partition, after partitioning the images of different channels, the number of missing sub-pixels at the partition defect is determined according to the partition to which the missing sub-pixel position belongs. The number of sub-pixels at the defects of each partition can also be added to obtain the number of missing sub-pixels at the area defect of a single channel. Then, the defect rating result is determined according to a predetermined defect rating method. The step of determining the defect rating result is equivalent to the step of determining the defect level.
[0069] It is understandable that the specific method of rating defects based on the number of missing sub-pixels is manually set according to specific requirements. The defect rating result can be determined based on the number of missing sub-pixels in each channel, or the total number of missing pixels can be obtained by adding up the number of missing sub-pixels in each channel to determine the defect rating result. For example, in some embodiments, the number of missing sub-pixels at the defective part of each channel is added to obtain the total number of missing RGB pixels. When the total number of missing RGB pixels is less than 3 and the distance between them is more than 10 mm, the current screen can be judged as a good product; if the total number of missing RGB pixels is greater than 3, or the total number of missing RGB pixels is 2 but the distance between them is within 10 mm, the current screen can be judged as a defective product.
[0070] In some embodiments, when there is a sub-pixel connection in the partition, such as Figure 5 As shown, after partitioning the image of each channel, the following steps are also taken:
[0071] In step 510 , the average number of sub-pixels in a sub-pixel connection group in each partition is calculated one by one, where the sub-pixel connection group is a sub-pixel connection area in each partition.
[0072] In step 520, the average number of sub-pixels in the sub-pixel connection group is compared with the corresponding actual number of sub-pixels. When the actual number of sub-pixels in the sub-pixel connection group is less than the corresponding average number of sub-pixels, the missing sub-pixels in this sub-pixel group are retained as the missing sub-pixels in the partition. The number of missing sub-pixels is used to determine the defect rating result, and the number of missing sub-pixels in each channel is obtained by adding the number of missing sub-pixels in each partition in the channel.
[0073] It can be understood that when the actual number of sub-pixels in a sub-pixel connection group is the same as the average number of corresponding sub-pixels, it means that there is no lack of sub-pixels in the sub-pixel connection group.
[0074] Through the above method, defects can be determined efficiently, the phenomenon of missed detection or over-detection in the display screen defect detection process can be reduced, and the applicability of the display screen defect rating method can be improved.
[0075] In some embodiments, for LCD type display screens, since the sub-pixel size is uniform and stable, and the sub-pixel arrangement is not affected by position, the sub-pixel arrangement is basically consistent throughout the image, so a fixed method can be used to count the number of missing pixels, such as Figure 6 As shown, defects are rated using the following steps:
[0076] In step 610 , a background area of the received first image is extracted to obtain a background area image, where the first image corresponds to an image of a display screen containing defects.
[0077] In step 620, the pixels in the background area image are eroded vertically and horizontally, and the remaining area after the erosion is the location of the missing pixels.
[0078] Among them, longitudinal erosion is performed through the longitudinal kernel scale, that is, a longitudinal opening operation is performed; horizontal erosion is performed through the horizontal kernel scale, that is, a horizontal opening operation is performed; the longitudinal kernel scale can be the spacing between adjacent sub-pixels in the longitudinal direction of each channel, or the length of the most complete short axis in each channel image, and the horizontal kernel scale can be the spacing between adjacent sub-pixels in the horizontal direction of each channel, or the length of the most complete short axis in each channel image, where the direction of obtaining the short axis is: calculating the circumscribed ellipse of the pixel area to be eroded, and the short axis of the ellipse is the longitudinal kernel scale or the horizontal kernel scale.
[0079] In step 630 , the number of missing sub-pixels is determined based on the relationship between the physical size of the missing sub-pixel position and the interval between adjacent sub-pixels. The number of missing sub-pixels is used to determine the defect rating result.
[0080] It can be understood that after obtaining the preliminary position of the missing sub-pixel, the physical length of the missing sub-pixel position is divided by the interval between sub-pixels in that direction to obtain the number of missing pixels in that direction. Then, based on the vertical difference or horizontal difference, the adjacent complete sub-pixels on the left or top side are used to gradually shift and summarize the supplemented defects to obtain the complete set of missing sub-pixels.
[0081] Through the above method, the efficiency of defect rating of LCD type display screens can be further improved.
[0082] In some embodiments, after determining the defect rating result, the following steps are further included:
[0083] In step 600, based on the acquired type and number of missing sub-pixels, the defective positions in the first image are filled;
[0084] In step 700, the first image after filling the missing pixels is output.
[0085] By filling in the specific missing pixels in the above manner and outputting the first image after filling in the missing pixels, the pixel distribution at the defect site can be quickly obtained, thereby providing guidance for subsequent defect repair.
[0086] Figure 7 This is a schematic diagram of the structure of the display defect rating system. Figure 7 As shown, in a second aspect, a display defect rating system includes:
[0087] an image pre-processing module, configured to extract a background area of a received first image to obtain a background area image, wherein the first image corresponds to an image of a display screen containing a defect;
[0088] a channel splitting module, configured to split the background area image into images of different channels, wherein the channels are divided according to the types of sub-pixels in the first image, and the number of channels is the same as the number of sub-pixel types;
[0089] an image erosion module, configured to erode the image of each channel to obtain the position of the missing sub-pixel, wherein the set of the positions of the missing sub-pixels in each channel is a defect in the first image;
[0090] The image partitioning module is used to partition the image of each channel so that the sub-pixels in the same partition are arranged in the same way;
[0091] Defect rating module: When there is no sub-pixel connection in the partition, it counts the number of missing sub-pixels at the defective part of each partition according to the partition to which the missing sub-pixel position belongs, and determines the defect level based on the number of missing sub-pixels.
[0092] In some embodiments, after partitioning the image of each channel, the defect rating module is further configured to:
[0093] When sub-pixel connections exist in the partitions, the average number of sub-pixels in the sub-pixel connection groups in each partition is calculated one by one, where the sub-pixel connection groups are the sub-pixel connection areas in each partition;
[0094] When the actual number of sub-pixels in a sub-pixel connection group is less than the corresponding average number of sub-pixels, the missing sub-pixels in this sub-pixel group are retained as missing sub-pixels in the partition, and the number of missing sub-pixels is used to determine the defect rating result;
[0095] The number of missing sub-pixels in each channel is obtained by summing the number of missing sub-pixels in each partition within the channel.
[0096] In some embodiments, after the step of obtaining the background area image, the image erosion module is further configured to:
[0097] When the sub-pixel arrangement in the first image is not affected by the position, the pixels in the background area image are vertically and horizontally eroded, and the remaining area after the erosion is the position of the missing pixel;
[0098] The Defect Rating module is also used to:
[0099] When the sub-pixel arrangement in the first image is not affected by position, the number of missing sub-pixels is determined by the relationship between the physical size of the missing sub-pixel position and the interval between adjacent sub-pixels, and the number of missing sub-pixels is used to determine the defect rating result.
[0100] At this time, the channel splitting module and the image partitioning module are no longer required to work, which greatly simplifies the operation speed and improves the efficiency of the defect rating process of LCD type displays.
[0101] In some embodiments, the defect rating module is further configured to:
[0102] Filling defective positions in the first image based on the acquired type and number of missing sub-pixels;
[0103] Output the first image after filling the missing pixels.
[0104] In some embodiments, the defect rating result is determined based on the number of missing sub-pixels, or the number of missing sub-pixels is summed to obtain the number of missing pixels to determine the defect rating result.
[0105] Figure 8 The following is a schematic diagram of the structure of the display defect rating equipment. Figure 8 As shown, in a third aspect, a display screen defect rating device includes: a processor, a memory, a communication interface, and a communication bus, wherein the processor, the memory, and the communication interface communicate with each other via the communication bus;
[0106] The memory is used to store at least one executable instruction, and the executable instruction causes the processor to perform the operations of any of the display screen defect rating methods in the first aspect, specifically as follows:
[0107] In some embodiments, extracting a background area of a received first image to obtain a background area image, the first image corresponding to an image of a display screen containing a defect;
[0108] Splitting the background area image into images of different channels, where the channels are divided according to the types of sub-pixels in the first image, and the number of channels is the same as the number of sub-pixel types;
[0109] The image of each channel is eroded to obtain the position of the missing sub-pixel, and the set of the positions of the missing sub-pixels in each channel is the defect in the first image;
[0110] Partition the image of each channel so that the sub-pixels in the same partition are arranged in the same way;
[0111] When there is no sub-pixel connection in the partition, the number of missing sub-pixels at the defective location of each partition is counted according to the partition to which the missing sub-pixel position belongs, and the defect level is determined based on the number of missing sub-pixels.
[0112] In some embodiments, after partitioning the image of each channel, the method further includes:
[0113] When sub-pixel connections exist in the partitions, the average number of sub-pixels in the sub-pixel connection groups in each partition is calculated one by one, where the sub-pixel connection groups are the sub-pixel connection areas in each partition;
[0114] When the actual number of sub-pixels in a sub-pixel connection group is less than the corresponding average number of sub-pixels, the missing sub-pixels in this sub-pixel group are retained as missing sub-pixels in the partition, and the number of missing sub-pixels is used to determine the defect rating result;
[0115] The number of missing sub-pixels in each channel is obtained by summing the number of missing sub-pixels in each partition within the channel.
[0116] In some embodiments, after the step of acquiring the background area image, the method further includes:
[0117] When the sub-pixel arrangement in the first image is not affected by the position, the pixels in the background area image are vertically and horizontally eroded, and the remaining area after the erosion is the position of the missing pixel;
[0118] The number of missing sub-pixels is determined by the relationship between the physical size of the missing sub-pixel position and the interval between adjacent sub-pixels. The number of missing sub-pixels is used to determine the defect rating result.
[0119] In some embodiments, it further includes:
[0120] Filling defective positions in the first image based on the acquired type and number of missing sub-pixels;
[0121] Output the first image after filling the missing pixels.
[0122] In some embodiments, the defect rating result is determined based on the number of missing sub-pixels, or the number of missing sub-pixels is summed to obtain the number of missing pixels to determine the defect rating result.
[0123] The beneficial effects of the embodiments of this part are that by extracting and counting missing pixels and determining the defect level based on the number of missing pixels, it is helpful to efficiently determine defects and reduce the phenomenon of missed detection or over-detection during the display screen defect detection process; further, by splitting the background area image into images of different channels and performing subsequent processing, it is helpful to analyze each type of sub-pixel separately, making the statistical processing process of the entire pixel efficient and convenient; further, by partitioning the image of each channel, it is possible to effectively reduce the interference of different sub-pixel positions on the process of determining the number of sub-pixels.
[0124] When the sub-pixel arrangement in the first image is not affected by position, the positions of the missing pixels are obtained by further performing vertical and horizontal corrosion on the pixels in the background area image. Then, the number of missing sub-pixels is determined based on the relationship between the physical size of the missing sub-pixel position and the interval between adjacent sub-pixels, which can further improve the efficiency of defect rating for LCD type displays.
[0125] When sub-pixel connections exist in a partition, by introducing a sub-pixel connection group processing method, the display defect rating method can be applied to both cases where sub-pixel connections exist in the partition and where no sub-pixel connections exist, thereby increasing the applicability of the display defect rating method.
[0126] By further filling in the specific missing pixels and outputting the first image after filling the missing pixels, the pixel distribution at the defect site can be quickly obtained, thereby providing guidance for subsequent defect repair.
[0127] For ease of explanation, the above description has been made in conjunction with specific embodiments. However, the above discussion of some embodiments is not intended to be exhaustive or to limit the embodiments to the specific forms disclosed above. Based on the above teachings, various modifications and variations can be obtained. The selection and description of the above embodiments are intended to better explain the principles and practical applications, so that those skilled in the art can better use the embodiments and various different variations of the embodiments suitable for specific use considerations.
Claims
1. A display screen defect rating method, characterized in that: include: extracting a background area of a received first image to obtain a background area image, wherein the first image corresponds to an image of a display screen containing a defect; Splitting the background area image into images of different channels, wherein the channels are divided according to the types of sub-pixels in the first image, and the number of the channels is the same as the number of the sub-pixel types; Corroding the image of each channel to obtain positions of missing sub-pixels, wherein a set of positions of missing sub-pixels in each channel is a defect in the first image; Partitioning the image of each channel so that sub-pixels in the same partition are arranged in the same manner; When there is no sub-pixel connection in the partition, the number of missing sub-pixels at the defective location of each partition is counted according to the partition to which the missing sub-pixel position belongs, and the defect level is determined according to the number of missing sub-pixels.
2. The display screen defect rating method according to claim 1, wherein: After partitioning the image of each channel, the method further includes: When there are sub-pixel connections in the partitions, calculating the average number of sub-pixels in a sub-pixel connection group in each of the partitions, the sub-pixel connection group being a sub-pixel connection area in each of the partitions; When the actual number of sub-pixels in the sub-pixel connection group is less than the corresponding average number of sub-pixels, retaining the missing sub-pixels in the sub-pixel group as the missing sub-pixels in the partition, and the number of missing sub-pixels is used to determine the defect rating result; The number of missing sub-pixels in each channel is obtained by summing the number of missing sub-pixels in each partition in the channel.
3. The display screen defect rating method according to claim 1, wherein: After the step of obtaining the background area image, the method further includes: When the sub-pixel arrangement in the first image is not affected by position, performing vertical and horizontal erosion on the pixels in the background area image, and the remaining area after the erosion is the position of the missing pixel; The number of missing sub-pixels is determined by the relationship between the physical size of the missing sub-pixel position and the interval between adjacent sub-pixels, and the number of missing sub-pixels is used to determine the defect rating result.
4. The display screen defect rating method according to any one of claims 1 to 3, wherein: Also includes: Filling defective positions in the first image based on the acquired type and number of missing sub-pixels; Output the first image after filling the missing pixels.
5. The display screen defect rating method according to claim 4, wherein: The defect rating result is determined based on the number of missing sub-pixels, or the number of missing pixels is obtained by adding up the number of missing sub-pixels to determine the defect rating result.
6. A display screen defect rating system, characterized in that: include: an image pre-processing module, configured to extract a background area of a received first image to obtain a background area image, wherein the first image corresponds to an image of a display screen containing a defect; a channel splitting module, configured to split the background area image into images of different channels, wherein the channels are divided according to the types of sub-pixels in the first image, and the number of the channels is the same as the number of the sub-pixel types; an image erosion module, configured to erode the image of each channel to obtain positions of missing sub-pixels, wherein the set of positions of missing sub-pixels in each channel is a defect in the first image; An image partitioning module, configured to partition the image of each channel so that sub-pixels in the same partition are arranged in the same manner; Defect rating module: when there is no sub-pixel connection in the partition, count the number of missing sub-pixels at the defective part of each partition according to the partition to which the missing sub-pixel position belongs, and determine the defect level according to the number of missing sub-pixels.
7. A display screen defect rating system as claimed in claim 6, characterized in that: After the step of partitioning the image of each channel, the defect rating module is further configured to: When there are sub-pixel connections in the partitions, calculating the average number of sub-pixels in a sub-pixel connection group in each of the partitions, the sub-pixel connection group being a sub-pixel connection area in each of the partitions; When the actual number of sub-pixels in the sub-pixel connection group is less than the corresponding average number of sub-pixels, retaining the missing sub-pixels in the sub-pixel group as the missing sub-pixels in the partition, and the number of missing sub-pixels is used to determine the defect rating result; The number of missing sub-pixels in each channel is obtained by summing the number of missing sub-pixels in each partition in the channel.
8. A display screen defect rating system as claimed in claim 6, characterized in that: After the step of obtaining the background area image, the image erosion module is further used to: When the sub-pixel arrangement in the first image is not affected by position, performing vertical and horizontal erosion on the pixels in the background area image, and the remaining area after the erosion is the position of the missing pixel; The defect rating module is also used to: When the sub-pixel arrangement in the first image is not affected by position, the number of missing sub-pixels is determined by the relationship between the physical size of the missing sub-pixel position and the interval between adjacent sub-pixels, and the number of missing sub-pixels is used to determine the defect rating result.
9. A display screen defect rating system according to any one of claims 6 to 8, characterized in that: The defect rating module is also used to: Filling defective positions in the first image based on the acquired type and number of missing sub-pixels; Output the first image after filling the missing pixels.
10. A display screen defect rating device, characterized in that: comprising a processor, a memory, a communication interface and a communication bus, wherein the processor, the memory and the communication interface communicate with each other via the communication bus; The memory is used to store at least one executable instruction, and the executable instruction enables the processor to perform the operation of the display screen defect rating method according to any one of claims 1 to 5.
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