Defect detection method, device and electronic equipment for display screen

Abstract

The application is suitable for the technical field of display, and provides a defect detection method and device of a display screen and electronic equipment, the defect detection method comprises: acquiring display screen images under multiple gray scales; and detecting multiple defects of the display screen according to optical data of the display screen images under the multiple gray scales, wherein the optical data comprises at least one of luminance data and chrominance data. The above scheme detects defects by acquiring display screen images under multiple gray scales, detects multiple types of defects of the display screen, expands the defect detection range, and improves the accuracy of defect detection of the display screen.

Description

Technical Field

[0001] This application belongs to the field of display technology, and in particular relates to a method, apparatus and electronic device for detecting defects in a display screen. Background Technology

[0002] Display screens are widely used in modern electronic devices, and their quality is a crucial factor affecting their performance and lifespan. Therefore, defect detection is an indispensable part of the display screen manufacturing process to ensure quality.

[0003] In related technologies, when performing defect detection on displays, the detection is often performed on a single defect, rather than multiple defects. For example, some existing methods can only detect defects such as uneven brightness or dead pixels, but cannot detect other types of defects, resulting in poor accuracy of defect detection. Summary of the Invention

[0004] This application provides a method, apparatus, and electronic device for detecting defects in a display screen, which can improve the accuracy of defect detection.

[0005] The first aspect of this application provides a defect detection method for a display screen, the defect detection method comprising:

[0006] Acquire display screen images at multiple grayscale levels;

[0007] Based on optical data from display images at multiple grayscale levels, various defects in the display screen are detected. The optical data includes at least one of brightness data and chromaticity data.

[0008] Optionally, in one possible implementation of the first aspect, the multiple gray levels include at least a first gray level and a second gray level, the first gray level being less than or equal to a gray level threshold, and the second gray level being greater than a gray level threshold; the multiple defects of the display screen include at least a first defect corresponding to the first gray level and a second defect corresponding to the second gray level.

[0009] Optionally, in one possible implementation of the first aspect, various defects of the display screen are detected based on optical data of the display screen images at multiple gray levels, including:

[0010] Obtain the optical data of each light point in the first display screen image, where the first display screen image refers to the display screen image displayed at the first gray level;

[0011] Based on the optical data of the lamps included in the neighborhood range corresponding to each lamp, the first reference optical data of the lamp in the image of the first display screen is determined;

[0012] The optical data of each lamp point is compared with the first reference optical data, and the lamp points whose optical difference with the first reference optical data is greater than the first preset threshold are identified as the first defects of the display screen.

[0013] Optionally, in one possible implementation of the first aspect, detecting multiple defects in the display screen based on optical data of display screen images at multiple gray levels further includes:

[0014] Obtain the optical data of each light point in the second display screen image, where the second display screen image refers to the display screen image displayed on the second grayscale.

[0015] Based on the optical data of the lamps included in the neighborhood range corresponding to each lamp point, determine the second reference optical data of the lamp points in the image of the second display screen;

[0016] The optical data of each lamp point is compared with the second reference optical data, and the lamp points whose optical differences with the second reference optical data are within the second preset threshold range are identified as the second defects of the display screen.

[0017] Optionally, in one possible implementation of the first aspect, before detecting multiple defects in the display screen based on optical data of the display screen images at multiple gray levels, the method further includes:

[0018] The image on the display screen is preprocessed to make the imaging brightness of the lamps in the first lit state in the display screen image greater than the preset brightness; wherein the lamps in the first lit state are determined according to the imaging brightness of the lamps.

[0019] Optionally, in one possible implementation of the first aspect, the imaging brightness of the lamps in the first lit state in the display screen image is greater than the preset brightness, the lamps in the first lit state are determined according to the imaging brightness of the lamps, and the display screen image is acquired when the acquisition parameters of the acquisition device are adjusted to the preset parameter values.

[0020] Optionally, in one possible implementation of the first aspect, the display image is an image displayed at intervals on the display at a second grayscale; detecting multiple defects of the display based on optical data of the display images at multiple grayscales further includes:

[0021] Based on the optical data of the lamps included in the neighborhood range corresponding to each lamp in the display image, the third reference optical data of the lamps in the display image is determined;

[0022] If the optical difference between the optical data of the spaced-out light spot and the third reference optical data is within the third preset threshold range, then the spaced-out light spot is determined to be a second defect of the display screen; and / or

[0023] If the optical data of a missing light point detected at a certain interval is greater than the fourth preset threshold, then the missing light point at that interval is determined to be the second defect of the display screen.

[0024] Optionally, in one possible implementation of the first aspect, detecting multiple defects in the display screen based on optical data of display screen images at multiple gray levels further includes:

[0025] Extract the center luminance and chromaticity data of each light point in the display screen image under multiple gray levels;

[0026] Based on the center luminance and chromaticity data of each LED point, various defects in the display screen are detected.

[0027] A second aspect of this application provides a defect detection device for a display screen, the defect detection device comprising:

[0028] The image acquisition module is used to acquire display screen images at multiple gray levels;

[0029] The defect detection module is used to detect various defects in the display screen based on optical data of the display screen images at multiple gray levels. The optical data includes at least one of brightness data and chromaticity data.

[0030] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the computer program to implement the defect detection method for the display screen provided in the first aspect.

[0031] A fourth aspect of this application provides a computer-readable storage medium storing a computer program that, when executed by a processor, implements the display screen defect detection method provided in the first aspect.

[0032] The fifth aspect of this application provides a computer program product that, when run on an electronic device, causes the electronic device to execute the display screen defect detection method provided in the first aspect.

[0033] The beneficial effects of the embodiments of this application compared with the prior art are:

[0034] This application embodiment acquires display screen images at multiple gray levels, thereby obtaining optical data of the display screen images at multiple gray levels. Based on the optical data of the display screen images at multiple gray levels, defect detection is performed on the display screen, which can detect various types of defects for the display screen. By expanding the defect detection range, the accuracy of display screen defect detection is improved. Attached Figure Description

[0035] To more clearly illustrate the technical solutions in the embodiments of this application, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this application. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0036] Figure 1 This is a schematic flowchart of a defect detection method for a display screen provided in an embodiment of this application;

[0037] Figure 2 This is a schematic diagram of the detection process for the first defect provided in an embodiment of this application;

[0038] Figure 3 This is a schematic diagram of the detection process for the second defect provided in an embodiment of this application;

[0039] Figure 4 This is a schematic diagram of the structure of a defect detection device for a display screen provided in an embodiment of this application;

[0040] Figure 5 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. Detailed Implementation

[0041] In the following description, specific details such as particular system architectures and techniques are set forth for illustrative purposes and not for limitation, in order to provide a thorough understanding of the embodiments of this application. However, those skilled in the art will understand that this application may also be implemented in other embodiments without these specific details. In other instances, detailed descriptions of well-known systems, apparatuses, circuits, and methods have been omitted so as not to obscure the description of this application with unnecessary detail.

[0042] It should be understood that, when used in this application specification and the appended claims, the term "comprising" indicates the presence of the described features, integrals, steps, operations, elements and / or components, but does not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or a collection thereof.

[0043] It should also be understood that the term “and / or” as used in this application specification and the appended claims means any combination of one or more of the associated listed items and all possible combinations, and includes such combinations.

[0044] As used in this application specification and the appended claims, the term "if" may be interpreted, depending on the context, as "when," "once," "in response to determination," or "in response to detection." Similarly, the phrase "if determined" or "if detected [the described condition or event]" may be interpreted, depending on the context, as meaning "once determined," "in response to determination," "once detected [the described condition or event]," or "in response to detection [the described condition or event]."

[0045] Furthermore, in the description of this application and the appended claims, the terms "first," "second," "third," etc., are used only to distinguish descriptions and should not be construed as indicating or implying relative importance.

[0046] References to "one embodiment" or "some embodiments" as described in this specification mean that one or more embodiments of this application include a specific feature, structure, or characteristic described in connection with that embodiment. Therefore, the phrases "in one embodiment," "in some embodiments," "in other embodiments," "in still other embodiments," etc., appearing in different parts of this specification do not necessarily refer to the same embodiment, but rather mean "one or more, but not all, embodiments," unless otherwise specifically emphasized. The terms "comprising," "including," "having," and variations thereof mean "including but not limited to," unless otherwise specifically emphasized.

[0047] During the production of displays, due to manufacturing processes, individual LED chips can easily malfunction, affecting the display's performance and lifespan. To ensure display quality, defect detection has become an indispensable part of the display production process.

[0048] In related technologies, defect detection for displays often targets single defects. For example, some existing methods can only detect dead pixels, uneven brightness, or color shifts. Furthermore, these methods typically use optical data at a single grayscale level, resulting in limited data and poor accuracy. Simultaneously, single-defect detection methods usually focus only on specific defect features or attributes, neglecting other potential defects. This limitation may lead to the overlooking of other types of defects, thereby reducing the overall accuracy and reliability of the detection.

[0049] To address the problems in the aforementioned related technologies, this application provides a method, apparatus, and electronic device for detecting defects in a display screen. The method acquires display screen images at multiple grayscale levels, obtaining optical data for these images. Based on this optical data, defects are detected in the display screen, enabling the detection of various types of defects. Furthermore, by expanding the defect detection range, the accuracy of display screen defect detection is improved.

[0050] The following is a detailed description of a defect detection method, apparatus, electronic device, storage medium, and computer program for a display screen provided in this application, with reference to the accompanying drawings.

[0051] Figure 1 A flowchart illustrating a defect detection method for a display screen provided in an embodiment of this application is shown.

[0052] Step 101: Obtain display screen images at multiple gray levels.

[0053] Grayscale refers to the number of different brightness levels or grayscale levels that a display device (such as a screen) can represent. Grayscale is typically used to describe the brightness level range of monochrome or color display devices. For monochrome display devices, grayscale represents the number of different brightness levels between pure black and pure white; for color display devices, grayscale can be used to describe the levels of the brightness channels. Color display devices typically consist of red, green, and blue channels, each of which can have different grayscale levels. Grayscale levels are usually related to the bit depth of the display device, which refers to the number of colors or grayscale levels that each pixel can represent. For example, an 8-bit display device can provide 256 grayscale levels.

[0054] In this embodiment, multiple grayscale images of the display screen can be acquired using a camera or other image acquisition device. For example, standard image acquisition protocols and parameters, such as resolution and exposure time, can be used to acquire display screen images.

[0055] One method is to display different grayscale levels on the screen using a screen-splitting technique, such as by controlling the screen's brightness or using a specific grayscale test pattern. When the screen displays a certain grayscale level, the exposure time, contrast, and other parameters of the image acquisition device can be adjusted accordingly to ensure that a clear and accurate screen image is obtained at each grayscale level.

[0056] In this embodiment of the application, acquiring multiple grayscale display screen images can be achieved by using different acquisition modes, such as continuous acquisition, interval acquisition, or random acquisition, in order to obtain comprehensive image data, i.e., display screen images under multiple grayscale levels.

[0057] For example, multiple gray levels can be set for the display screen, such as 30 gray levels and 150 gray levels, to represent different brightness levels. The exposure time and contrast of the image acquisition device are adjusted according to each gray level to ensure the quality and accuracy of the acquired display screen image, and to detect different defects of the display screen according to the display screen image corresponding to different gray levels.

[0058] For example, multiple gray levels can be set for the display screen, such as 30 gray levels and 31 gray levels, to represent different brightness levels. The exposure time and contrast of the image acquisition device are adjusted according to each gray level to ensure the quality and accuracy of the acquired display screen image. Similarly, a defect of the display screen can be detected based on the display screen image corresponding to different gray levels.

[0059] It should be understood that display screen defects can refer to internal LED chip defects such as uneven brightness or dead pixels, or they can be appearance defects. This application embodiment does not limit this.

[0060] In one possible implementation, the multiple gray levels include at least a first gray level and a second gray level, the first gray level being less than or equal to a gray level threshold, and the second gray level being greater than a gray level threshold; the multiple defects of the display screen include at least a first defect corresponding to the first gray level and a second defect corresponding to the second gray level.

[0061] In this embodiment, under low grayscale illumination conditions, defective LEDs exhibit very weak brightness, almost imperceptible to the human eye and undetectable by a camera. Under high grayscale illumination conditions, the brightness of defective LEDs increases, becoming more noticeable to the human eye but less so to the camera, making detection of weak LEDs difficult. Therefore, this application includes at least a first grayscale and a second grayscale among its multiple grayscale levels. The first grayscale is less than or equal to a grayscale threshold, meaning it can refer to a low to medium grayscale level within the grayscale hierarchy. The corresponding display image is primarily used to detect first defects, such as uneven display or dead pixels. The second grayscale is greater than the grayscale threshold, meaning it can refer to a high grayscale level within the grayscale hierarchy. The corresponding display image is primarily used to detect second defects, such as weak brightness, which cannot be detected under low to medium grayscale conditions.

[0062] It should be understood that the grayscale threshold can be determined based on the total number of grayscale levels on the display screen. For example, if the total number of grayscale levels on the display screen is 256, then the grayscale threshold can be set to 140. That is, grayscale levels greater than 140 are considered the second grayscale level, which can be used for weak brightness detection of display screen LEDs.

[0063] It should be noted that the above examples are merely illustrative and should not be regarded as an illustration of this application. In actual use, an appropriate grayscale threshold can be set according to the actual application scenario. This application does not limit the specific value of the grayscale threshold.

[0064] Step 102: Detect various defects in the display screen based on the optical data of the display screen images at multiple gray levels.

[0065] In the embodiments of this application, the optical data includes at least one of brightness data and chromaticity data. That is, based on the brightness data of the display screen image under multiple gray levels, various defects of the display screen can be detected, such as uneven brightness, dead pixels, or weak brightness dead pixels. Based on the chromaticity data of the display screen image under multiple gray levels, various defects of the display screen can be detected, such as uneven chromaticity, color shift, or reflection and refraction problems on the display screen surface. Based on the chromaticity data and brightness data of the display screen image under multiple gray levels, various defects of the display screen can be detected.

[0066] In this embodiment of the application, before detecting various defects of the display screen based on the optical data of the display screen at multiple gray levels, image processing and analysis techniques can be used to extract the brightness and chromaticity data of the display screen from the display screen image.

[0067] For example, an image can be converted from the RGB color space to other color spaces, such as HSV (Hue, Saturation, Luminance) or Lab (Luminance, a, b) color spaces. This is done to separate luminance and chromaticity information, making them easier to extract. Luminance data is then extracted from the converted image. That is, for the HSV color space, luminance typically corresponds to the V channel; for the Lab color space, luminance corresponds to the L channel. Luminance data can be extracted using pixel values ​​or luminance histogram analysis. Similarly, chromaticity data is extracted from the converted image. For the HSV color space, chromaticity information corresponds to the H and S channels; for the Lab color space, chromaticity corresponds to the a and b channels. Chromaticity data can be extracted using pixel values ​​or chromaticity histogram analysis.

[0068] It should be noted that the specific extraction methods and parameter settings may vary depending on the application requirements and image characteristics. Image processing and analysis methods can be based on computer vision algorithms, machine learning techniques, or color science principles, etc.

[0069] In this embodiment of the application, by acquiring display screen images at multiple gray levels, optical data of the display screen images at multiple gray levels can be obtained. Based on the optical data of the display screen images at multiple gray levels, defect detection of the display screen can be performed, and various types of defects of the display screen can be detected. By expanding the defect detection range, the accuracy of display screen defect detection is improved.

[0070] In one possible implementation, the multiple gray levels include at least a first gray level and a second gray level. Therefore, detecting multiple defects of the display screen based on the optical data of the display screen image under multiple gray levels may mean detecting a first defect of the display screen based on the optical data of the display screen image under the first gray level, and detecting a second defect of the display screen based on the optical data of the display screen image under the second gray level.

[0071] The detection of the first defect in the display screen can be performed based on optical data of the display screen image at at least one first gray level, for example, based on optical data of the display screen images at two first gray levels.

[0072] The detection of the second defect in the display screen can be performed based on optical data of the display screen image at at least one second gray level, for example, based on optical data of the display screen images at two second gray levels.

[0073] It should be understood that detecting defects in a display screen can refer to light emission defects, appearance defects, or first or second defects, namely defects displayed in low to medium grayscale or defects displayed in high grayscale.

[0074] As one possible implementation, detecting various defects in a display screen based on optical data from display screen images at multiple grayscale levels also includes:

[0075] Extract the center luminance and chromaticity data of each light point in the display screen image under multiple gray levels;

[0076] Based on the center luminance and chromaticity data of each LED point, various defects in the display screen are detected.

[0077] The luminance and chromaticity data of each light point may refer to the luminance and chromaticity data of the central area of ​​each light point, rather than the luminance and chromaticity data of the entire light point.

[0078] In this embodiment of the application, in order to improve the resolution of the display screen, the distance between each light point in the display screen is usually small. Therefore, when the display screen is lit, there will be brightness crosstalk between the light points. Therefore, when extracting optical data based on the display screen image, the center brightness data of each light point in the display screen image should be extracted to eliminate brightness crosstalk between the light points and improve the accuracy of defect detection.

[0079] Figure 2 A schematic diagram of the detection process for the first defect provided in an embodiment of this application is shown.

[0080] Step 201: Obtain the optical data of each light point in the image of the first display screen.

[0081] The first display screen image refers to the display screen image displayed on the display screen at the first gray level, where the first gray level refers to a gray level that is less than or equal to the gray level threshold.

[0082] In this embodiment of the application, the optical data of each light point in the first display screen image can be obtained by using the pixel value displayed by each light point in the first display screen image.

[0083] As one possible implementation, in order to reduce crosstalk between lamps, when acquiring the optical data of each lamp in the image of the first display screen, the optical data of the central region of each lamp in the image of the first display screen can be acquired, that is, the data can be acquired by acquiring the pixel value of the central region of the lamp.

[0084] For example, a camera is used to capture an image of the first display screen at a low to medium grayscale, and then optical data of each light point is obtained based on the pixel value of the central region of each light point in the first display screen image.

[0085] It should be understood that the range of the central area of ​​each light point can be a preset range, depending on the actual situation, and this application does not limit it.

[0086] Step 202: Determine the first reference optical data of the light points in the first display screen image based on the optical data of the light points included in the neighborhood range corresponding to each light point.

[0087] In this embodiment of the application, the first reference optical data of the light points in the first display screen image is determined by first determining the position of each light point in the image based on the first display screen image, then extracting the optical data of each light point in the image (which may refer to the center optical data), and finally determining the first reference optical data of each light point based on the optical data of the light points included in its neighborhood range for each determined light point. This can be accomplished by calculation, weighted averaging or other appropriate methods.

[0088] The first reference optical data is the standard optical data corresponding to the lamp point.

[0089] Step 203: Compare the optical data of each lamp point with the first reference optical data, and determine the lamp points whose optical difference with the first reference optical data is greater than the first preset threshold as the first defects of the display screen.

[0090] The first defect refers to the defects that can be detected on the display screen at medium and low gray levels, such as uneven brightness or color, or dead pixels.

[0091] In this embodiment, to confirm whether a lamp point has a defect, the optical data of each lamp point is compared with its corresponding first reference optical data. If the optical difference between the optical data and its corresponding first reference optical data is greater than a first preset threshold, the lamp point is considered to be the first defect of the display screen. The first preset threshold can be zero, meaning that in a low-to-medium grayscale display state, a lamp point that differs from the first reference optical data is considered the first defect of the display screen.

[0092] In one possible implementation, after detecting that the light point is the first defect, the location coordinates of the light point can be output to facilitate maintenance personnel to perform corresponding maintenance.

[0093] The display screen defect detection method provided in this application embodiment can detect the first defect of the display screen, that is, the detection of ordinary defects of the display screen under normal image when the screen is lit. Furthermore, by extracting the luminance and chromaticity data of the central area of ​​each lamp point in the image, the luminance crosstalk between lamp points is eliminated, thereby improving the accuracy of ordinary defect detection.

[0094] Figure 3 A schematic diagram of the detection process for the second defect provided in an embodiment of this application is shown.

[0095] Step 301: Obtain the optical data of each light point in the image of the second display screen.

[0096] The second display image refers to the display image shown on the display screen at the second gray level, where the second gray level refers to a gray level greater than the gray level threshold.

[0097] In this embodiment of the application, the optical data of each light point in the second display screen image can be obtained by using the pixel value displayed by each light point in the second display screen image.

[0098] As one possible implementation, in order to reduce crosstalk between the lamps, when acquiring the optical data of each lamp in the image of the second display screen, the optical data of the central region of each lamp in the image of the second display screen can be acquired, that is, it can be acquired by acquiring the pixel value of the central region of the lamp.

[0099] For example, a second display screen image of the display screen at a high grayscale is acquired by a camera, and then optical data of each light point is obtained based on the pixel value of the central region of each light point in the second display screen image.

[0100] It should be understood that the range of the central area of ​​each light point can be a preset range, depending on the actual situation, and this application does not limit it.

[0101] In one possible implementation, due to the high grayscale screen printing, i.e., obtaining the display image of the screen at a high grayscale, the presentation of defective light points (such as weak light points) will be relatively obvious, but not very obvious in the second display image. Directly performing defect detection based on the second display image will increase the detection difficulty to some extent.

[0102] Therefore, before detecting various defects in the display screen based on optical data from display screen images at multiple gray levels, the process also includes:

[0103] Image preprocessing is performed on the display screen image to make the imaging brightness of the first lit lamp in the display screen image greater than the preset brightness.

[0104] The first lighting state can refer to a weak lighting state. That is, the lighting state of a lamp is determined based on the imaging brightness of the lamp. If the imaging brightness of a lamp is lower than the standard brightness, then the lamp can be determined to be in the first lighting state, i.e., the weak lighting state.

[0105] For example, the display effect of defective light points (e.g., weak light points) on the image can be enhanced by image processing technology, that is, the imaging brightness of defective light points can be enhanced so that the defective light points can be more clearly presented on the image of the second display screen.

[0106] In one possible implementation, the display screen image can be acquired when the acquisition parameters of the acquisition device are adjusted to preset parameter values, so that the imaging brightness of the lamps in the first lit state in the display screen image is greater than the preset brightness.

[0107] The first lighting state can refer to a dim lighting state, and the light point in the first lighting state can refer to the light point in the dim lighting state.

[0108] For example, the camera's Gamma value can be adjusted to enhance the image brightness of weakly lit areas and cause the camera image to be completely overexposed. Specifically, the camera's Gamma value can be adjusted to be greater than 1, i.e., adjusted to a non-linear mode, which enhances the image brightness of weakly lit areas while keeping the image brightness of normal lit areas essentially unchanged. Furthermore, since the exposure value cannot be reduced, the image captured by the camera is completely overexposed, thus fully revealing the weakly lit areas.

[0109] The preset parameter value can refer to the camera's acquisition parameter value when the imaging brightness of a light point in a dimly lit state in the display image is greater than the preset brightness.

[0110] After performing the above operations, the center optical data of each light point in the second display image after image processing or camera parameter settings can be obtained, so as to determine the second reference optical data of each light point.

[0111] Step 302: Determine the second reference optical data of the light points in the image of the second display screen based on the optical data of the light points included in the neighborhood range corresponding to each light point.

[0112] In this embodiment of the application, the second reference optical data of the light points in the second display screen image is determined by first determining the position of each light point in the image based on the second display screen image, then extracting the optical data of each light point in the image (which may refer to the center optical data), and finally determining the second reference optical data of each light point based on the optical data of the light points included in its neighborhood range for each determined light point. This can be accomplished by calculation, weighted averaging or other appropriate methods.

[0113] The second reference optical data is the standard optical data corresponding to that light point.

[0114] Step 303: Compare the optical data of each lamp point with the second reference optical data, and determine the lamp points whose optical differences between the second reference optical data are within the second preset threshold range as the second defects of the display screen.

[0115] The second defect refers to a weak brightness or weak darkness defect detected in a light spot under high grayscale, that is, a light spot with a brightness or color that is slightly weaker than a normal light spot. The defect corresponding to this light spot is the second defect.

[0116] In this embodiment, to confirm whether a lamp point has a second defect, the optical data of each lamp point is compared with its corresponding second reference optical data. If the optical difference between the optical data and its corresponding second reference optical data is within a second preset threshold range, the lamp point is considered a second defect of the display screen. The first preset threshold can be a small value, such as 10 nits. That is, in a high grayscale display state, a lamp point with a small difference from the second reference optical data is a weak-brightness lamp point, and the corresponding defect is a second defect of the display screen.

[0117] Similarly, if the difference between the chromaticity data of a light spot and the reference chromaticity data is within the corresponding second preset threshold range, it can also be determined that the light spot has a second defect.

[0118] In one possible implementation, after detecting that the light spot is a second defect, the location coordinates of the light spot can be output to facilitate maintenance personnel to perform corresponding maintenance.

[0119] In one possible implementation, the display image is an image displayed at intervals on the display at a second grayscale level; detecting various defects of the display based on optical data of the display images at multiple grayscale levels also includes:

[0120] Based on the optical data of the lamps included in the neighborhood range corresponding to each lamp in the display image, the third reference optical data of the lamps in the display image is determined;

[0121] If the optical difference between the optical data of the spaced-out light spot and the third reference optical data is within the third preset threshold range, then the spaced-out light spot is determined to be a second defect of the display screen; and / or

[0122] If the optical data of a missing light point detected at a certain interval is greater than the fourth preset threshold, then the missing light point at that interval is determined to be the second defect of the display screen.

[0123] In this embodiment of the application, since the detection is performed on a full-screen display, the amount of data to be compared is large and the system running speed is slow. Therefore, the method of intermittent screen display can be selected so that the display screen displays a preset image (e.g., an image displayed at intervals) in the second grayscale. Based on the display screen image displayed at intervals, the optical data of the light points included in the neighborhood range of each light point in the image is obtained, and the third reference optical data corresponding to the light points displayed at intervals are determined.

[0124] If the optical data of the displayed light point is weaker than the corresponding third reference optical data (i.e., the optical difference between the optical data of the light point and the third reference optical data is within the third preset threshold range), it indicates that the light point is weakly bright or weakly dark, and the light point can be identified as the second defect of the display screen.

[0125] If the optical data of a light point that is not displayed on the screen is greater than the fourth preset threshold (which can be zero), it indicates that the light point is not displaying properly and there may be problems with the circuit design. This light point can be identified as the second defect of the display screen.

[0126] The display screen defect detection method provided in this application embodiment can detect the second defect of the display screen. That is, by using high grayscale screen printing and adjusting the camera Gamma value or performing image processing on the display screen image, the brightness and color of weak lights are increased, so that the weak light defect is fully highlighted. By extracting the brightness and color data of the central area of ​​each light point in the image, eliminating the brightness crosstalk between light points, and comparing the brightness and color data of the light beads in the field, the purpose of accurately detecting weak lights is achieved.

[0127] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of this application.

[0128] Corresponding to the display screen defect detection method in the above embodiments, Figure 4This diagram illustrates the structure of a defect detection device for a display screen according to an embodiment of this application. For ease of explanation, only the parts relevant to the embodiment of this application are shown.

[0129] Reference Figure 4 The defect detection device for the display screen includes:

[0130] Image acquisition module 401 is used to acquire display screen images at multiple gray levels;

[0131] The defect detection module 402 is used to detect various defects of the display screen based on optical data of the display screen images at multiple gray levels, wherein the optical data includes at least one of brightness data and chromaticity data.

[0132] In practical use, the display screen defect detection device provided in this application embodiment can be configured in any electronic device to perform a signed display screen defect detection method.

[0133] In one possible implementation of this application, the plurality of gray levels includes at least a first gray level and a second gray level, wherein the first gray level is less than or equal to a gray level threshold and the second gray level is greater than the gray level threshold; the plurality of defects of the display screen includes at least a first defect corresponding to the first gray level and a second defect corresponding to the second gray level.

[0134] Furthermore, in one possible implementation of this application, the defect detection module 402 includes:

[0135] The first data acquisition submodule is used to acquire the optical data of each light point in the first display screen image, where the first display screen image refers to the display screen image displayed on the display screen at the first gray level.

[0136] The first reference determination submodule is used to determine the first reference optical data of the light points in the image of the first display screen based on the optical data of the light points included in the neighborhood range corresponding to each light point.

[0137] The first comparison submodule is used to compare the optical data of each lamp point with the first reference optical data, and determine the lamp point whose optical difference with the first reference optical data is greater than the first preset threshold as the first defect of the display screen.

[0138] Furthermore, in one possible implementation of this application, the defect detection module 402 further includes:

[0139] The second data acquisition submodule is used to acquire the optical data of each light point in the second display screen image, where the second display screen image refers to the display screen image displayed on the second grayscale.

[0140] The second reference determination submodule is used to determine the second reference optical data of the light points in the second display screen image based on the optical data of the light points included in the neighborhood range corresponding to each light point.

[0141] The second comparison submodule is used to compare the optical data of each lamp point with the second reference optical data, and determine the lamp points whose optical differences with the second reference optical data are within the second preset threshold range as the second defects of the display screen.

[0142] Furthermore, in one possible implementation of this application, the defect detection device for the display screen further includes:

[0143] The image preprocessing module is used to preprocess the image of the display screen so that the imaging brightness of the lamps in the first lit state in the display screen image is greater than the preset brightness; wherein the lamps in the first lit state are determined according to the imaging brightness of the lamps.

[0144] Furthermore, in one possible implementation of this application, the imaging brightness of the lamps in the first illuminated state in the above-mentioned display screen image is greater than the preset brightness. The lamps in the first illuminated state are determined according to the imaging brightness of the lamps, and the display screen image is acquired when the acquisition parameters of the acquisition device are adjusted to the preset parameter values.

[0145] Furthermore, in one possible implementation of this application, when the display image is an image displayed at intervals in the second grayscale, the defect detection module 402 further includes:

[0146] The third reference determination submodule is used to determine the third reference optical data of the light points in the display screen image based on the optical data of the light points included in the neighborhood range corresponding to each light point in the display screen image.

[0147] The first judgment submodule is used to determine that if the optical difference between the optical data of the spaced-out display light spot and the third reference optical data is within a third preset threshold range, the spaced-out display light spot is a second defect of the display screen; and / or

[0148] The second judgment submodule is used to determine that if the optical data of a light point that is not displayed at a certain interval is greater than a fourth preset threshold, the light point that is not displayed at that interval is a second defect of the display screen.

[0149] Furthermore, in one possible implementation of this application, the defect detection module 402 further includes:

[0150] The central data extraction submodule is used to extract the central luminance and chromaticity data of each light point in the display screen image under multiple gray levels;

[0151] The detection submodule is used to detect various defects in the display screen based on the center luminance and chromaticity data of each light point.

[0152] The display screen defect detection device provided in this application embodiment can be applied in the foregoing method embodiment. For details, please refer to the description of the above method embodiment, which will not be repeated here.

[0153] To implement the above embodiments, this application also proposes an electronic device.

[0154] Figure 5 This is a schematic diagram of the structure of an electronic device according to an embodiment of this application.

[0155] like Figure 5 As shown, the electronic device 500 of this embodiment includes:

[0156] At least one processor 510 ( Figure 5 (Only one is shown) a processor, a memory 520, and a computer program 521 stored in the memory 520 and capable of running on at least one processor 510. When the processor 510 executes the computer program 521, it implements the steps in the above-described embodiment of the defect detection method for the display screen.

[0157] Electronic device 500 can be a computing device such as a desktop computer, laptop, handheld computer, or cloud server. This electronic device may include, but is not limited to, a processor 510 and a memory 520. Those skilled in the art will understand that... Figure 5 This is merely an example of electronic device 500 and does not constitute a limitation on electronic device 500. It may include more or fewer components than shown in the figure, or combine certain components, or different components. For example, it may also include input / output devices, network access devices, etc.

[0158] The processor 510 may be a Central Processing Unit (CPU), or it may be other general-purpose processors, digital signal processors (DSPs), application-specific integrated circuits (ASICs), field-programmable gate arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor or any conventional processor.

[0159] In some embodiments, memory 520 may be an internal storage unit of electronic device 500, such as a hard disk or memory of electronic device 500. In other embodiments, memory 520 may be an external storage device of electronic device 500, such as a plug-in hard disk, smart media card (SMC), secure digital (SD) card, flash card, etc., equipped on electronic device 500. Furthermore, memory 520 may include both internal and external storage units of electronic device 500. Memory 520 is used to store operating system, application programs, bootloader, data, and other programs, such as program code of computer programs. Memory 520 may also be used to temporarily store data that has been output or will be output.

[0160] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the above-described division of functional units and modules is merely an example. In practical applications, the above functions can be assigned to different functional units and modules as needed, that is, the internal structure of the device can be divided into different functional units or modules to complete all or part of the functions described above. The functional units and modules in the embodiments can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit. Furthermore, the specific names of the functional units and modules are only for easy differentiation and are not intended to limit the scope of protection of this application. The specific working process of the units and modules in the above system can be referred to the corresponding process in the foregoing method embodiments, and will not be repeated here.

[0161] In the above embodiments, the descriptions of each embodiment have different focuses. For parts that are not described in detail or recorded in a certain embodiment, please refer to the relevant descriptions of other embodiments.

[0162] Those skilled in the art will recognize that the units and algorithm steps of the various examples described in conjunction with the embodiments disclosed herein can be implemented in electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are implemented in hardware or software depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered beyond the scope of this application.

[0163] In the embodiments provided in this application, it should be understood that the disclosed devices / electronic devices and methods can be implemented in other ways. For example, the device / electronic device embodiments described above are merely illustrative. For instance, the division of modules or units is only a logical functional division, and in actual implementation, there may be other division methods. For example, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Furthermore, the coupling or direct coupling or communication connection shown or discussed may be through some interfaces; the indirect coupling or communication connection between devices or units may be electrical, mechanical, or other forms.

[0164] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0165] Furthermore, the functional units in the various embodiments of this application can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or as a software functional unit.

[0166] If an integrated module / unit is implemented as a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, all or part of the processes in the methods of the above embodiments can also be implemented by a computer program instructing related hardware. The computer program can be stored in a computer-readable storage medium, and when executed by a processor, it can implement the steps of the various method embodiments described above. The computer program includes computer program code, which can be in the form of source code, object code, executable files, or certain intermediate forms. The computer-readable medium can include: any entity or device capable of carrying computer program code, recording media, USB flash drives, portable hard drives, magnetic disks, optical disks, computer memory, read-only memory (ROM), random access memory (RAM), electrical carrier signals, telecommunication signals, and software distribution media, etc. It should be noted that the content included in the computer-readable medium can be appropriately added or removed according to the requirements of legislation and patent practice in the jurisdiction. For example, in some jurisdictions, according to legislation and patent practice, the computer-readable medium does not include electrical carrier signals and telecommunication signals.

[0167] The implementation of all or part of the processes in the methods of the above embodiments can also be accomplished by a computer program product. When the computer program product is run on an electronic device, the electronic device can implement the steps in the various method embodiments described above.

[0168] The above embodiments are only used to illustrate the technical solutions of this application, and are not intended to limit them. Although this application has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features; and these modifications or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this application, and should all be included within the protection scope of this application.

Claims

1. A method for detecting defects in a display screen, characterized in that, The defect detection method includes: Acquire display screen images at multiple grayscale levels; Based on the optical data of the display screen images at the multiple gray levels, various defects of the display screen are detected, wherein the optical data includes at least one of luminance data and chromaticity data; Wherein, the imaging brightness of the lamps in the first illuminated state in the display screen image is greater than a preset brightness, the lamps in the first illuminated state are determined according to the imaging brightness of the lamps, and the display screen image is acquired when the acquisition parameters of the acquisition device are adjusted to the preset parameter values; the step of detecting various defects of the display screen based on the optical data of the display screen images under multiple gray levels includes: extracting the center luminance and chromaticity data of each lamp in the display screen images under multiple gray levels; and detecting various defects of the display screen based on the center luminance and chromaticity data of each lamp. Wherein, the plurality of gray levels include a second gray level, the second gray level being greater than a gray level threshold, the plurality of defects include a second defect corresponding to the second gray level, and correspondingly, the acquisition parameters of the acquisition device are adjusted to preset parameter values, including: adjusting the Gamma value of the acquisition device to be greater than 1; The step of detecting multiple defects of the display screen based on the optical data of the display screen images under the multiple gray levels further includes: acquiring the optical data of each lamp point in the second display screen image, where the second display screen image refers to the display screen image displayed by the display screen under the second gray level; determining the second reference optical data of the lamp points in the second display screen image based on the optical data of the lamp points included in the neighborhood range corresponding to each lamp point; comparing the optical data of each lamp point with the second reference optical data, and determining the lamp points whose optical difference with the second reference optical data is within a second preset threshold range as the second defects of the display screen.

2. The defect detection method as described in claim 1, characterized in that, The plurality of gray levels also includes a first gray level, which is less than or equal to the gray level threshold; the plurality of defects of the display screen also includes a first defect corresponding to the first gray level.

3. The defect detection method as described in claim 2, characterized in that, The method of detecting various defects in the display screen based on optical data of the display screen images at multiple gray levels includes: Obtain the optical data of each light point in the first display screen image, where the first display screen image refers to the display screen image displayed by the display screen at the first gray level; Based on the optical data of the light points included in the neighborhood range corresponding to each light point, the first reference optical data of the light points in the image of the first display screen is determined; The optical data of each light point is compared with the first reference optical data, and the light point whose optical difference with the first reference optical data is greater than a first preset threshold is identified as the first defect of the display screen.

4. The defect detection method according to any one of claims 1 to 3, characterized in that, Before detecting various defects in the display screen based on optical data from the display screen images at the multiple gray levels, the method further includes: The image of the display screen is preprocessed to make the imaging brightness of the lamps in the first lit state in the display screen image greater than the preset brightness; The first illuminated light point is determined based on the imaging brightness of the light point.

5. The defect detection method according to any one of claims 1 to 3, characterized in that, The display screen image is an image of the display screen displayed with dots spaced out at the second grayscale level; the step of detecting various defects of the display screen based on the optical data of the display screen images at the multiple grayscale levels further includes: Based on the optical data of the light points included in the neighborhood range corresponding to each light point in the display screen image, the third reference optical data of the light points in the display screen image is determined; If the optical difference between the optical data of the spaced-out light spot and the third reference optical data is within a third preset threshold range, then the spaced-out light spot is determined to be a second defect of the display screen; and / or If the optical data of a missing light point detected at a certain interval is greater than a fourth preset threshold, then the missing light point at that interval is determined to be a second defect of the display screen.

6. A defect detection device for a display screen, characterized in that, The defect detection device includes: The image acquisition module is used to acquire display screen images at multiple gray levels; The defect detection module is used to detect various defects of the display screen based on the optical data of the display screen images at the multiple gray levels, wherein the optical data includes at least one of luminance data and chromaticity data; Wherein, the imaging brightness of the light points in the first illuminated state in the display screen image is greater than a preset brightness, the light points in the first illuminated state are determined according to the imaging brightness of the light points, and the display screen image is acquired when the acquisition parameters of the acquisition device are adjusted to the preset parameter values; the defect detection module includes: The central data extraction submodule is used to extract the central luminance and chromaticity data of each light point in the display screen image under the multiple gray levels; The detection submodule is used to detect various defects in the display screen based on the center luminance and chromaticity data of each light point; Wherein, the plurality of gray levels include a second gray level, the second gray level being greater than a gray level threshold, the plurality of defects include a second defect corresponding to the second gray level, and correspondingly, the acquisition parameters of the acquisition device are adjusted to preset parameter values, including: adjusting the Gamma value of the acquisition device to be greater than 1; The defect detection module further includes: The second data acquisition submodule is used to acquire the optical data of each light point in the second display screen image, where the second display screen image refers to the display screen image displayed by the display screen at the second grayscale. The second reference determination submodule is used to determine the second reference optical data of the light points in the image of the second display screen based on the optical data of the light points included in the neighborhood range corresponding to each light point. The second comparison submodule is used to compare the optical data of each lamp point with the second reference optical data, and determine the lamp points whose optical differences with the second reference optical data are within a second preset threshold range as the second defects of the display screen.

7. An electronic 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, it implements the method as described in any one of claims 1 to 5.

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