Abnormal lamp point detection method, device, equipment, medium, product and system

Abstract

The invention provides an abnormal lamp point detection method, device and equipment, a medium, a product and a system, relates to the technical field of display, and can accurately detect the color mixing defect when an LED display screen is normally turned on. The abnormal lamp point detection method comprises the following steps: acquiring a target image obtained by shooting display content of a lightened to-be-detected display module; acquiring a brightness feature and a chrominance feature of the target image; the brightness feature is used for representing the brightness of each lamp point in the display module to be detected; the chromaticity feature is used for representing the color depth of each lamp point in the display module to be detected; and according to the brightness characteristics and the chroma characteristics, detecting abnormal lamp points with color mixing defects in the display module to be detected.

Description

Technical Field

[0001] This disclosure relates to the field of display technology, specifically to a method, apparatus, equipment, medium, product, and system for detecting abnormal light points. Background Technology

[0002] Color mixing defects may occur during the display process of light-emitting diode (LED) displays. A color mixing defect occurs when an indicator signal is used to indicate that one color (e.g., blue) LED in a certain LED group is lit, but one or more other colors (e.g., red) LEDs in the same group (i.e., abnormal LEDs) are also lit at the same time, causing the display to distort the display effect.

[0003] Since abnormal LEDs are not controlled to light up and will automatically light up when powered on, a common method is to control the display to show a black screen (i.e., control each LED to not light up) while the display is powered on, and identify the LEDs that light up in the black screen as abnormal LEDs.

[0004] However, the general method can only detect abnormal LEDs that are constantly lit when the LED display shows a black screen after being powered on, and cannot detect color mixing defects when the LED is lit normally, which has certain limitations. Summary of the Invention

[0005] This disclosure provides a method, apparatus, equipment, medium, product, and system for detecting abnormal LED points, which can accurately detect color mixing defects when an LED display screen is normally lit.

[0006] In a first aspect, this disclosure provides a method for detecting abnormal light points, comprising: acquiring a target image of the display content of a display module to be tested after it is lit; acquiring the brightness and chromaticity features of the target image; the brightness features are used to characterize the brightness of each light point in the display module to be tested; the chromaticity features are used to characterize the color depth of each light point in the display module to be tested; and detecting abnormal light points in the display module to be tested that have color mixing defects based on the brightness and chromaticity features.

[0007] Secondly, this disclosure also provides an abnormal lamp detection device, comprising: an acquisition unit and a processing unit; the acquisition unit is configured to acquire a target image captured by photographing the display content of the display module to be tested after it is lit, and to acquire the brightness features and chromaticity features of the target image; the brightness features are used to characterize the brightness of each lamp in the display module to be tested; the chromaticity features are used to characterize the color depth of each lamp in the display module to be tested; the processing unit is configured to detect abnormal lamps in the display module to be tested that have color mixing defects based on the brightness features and chromaticity features.

[0008] Thirdly, this disclosure also provides an electronic device comprising: a processor and a memory configured to store processor-executable instructions; wherein the processor is configured to execute instructions to implement the method of the first aspect described above.

[0009] Fourthly, this disclosure also provides a non-volatile storage medium on which a computer program is stored, which, when read and executed, implements the method of the first aspect described above.

[0010] Fifthly, this disclosure also provides a computer program product, including instructions that, when executed on an electronic device, cause the electronic device to perform the method described in the first aspect.

[0011] In a sixth aspect, this disclosure also provides an abnormal light spot detection system, comprising: a display module to be detected for displaying the display content of the display module to be detected; an image acquisition device for capturing a target image of the display content of the display module to be detected after it is lit; and an abnormal light spot detection device for performing the method of the first aspect described above.

[0012] The abnormal LED detection method disclosed herein can acquire a target image of the displayed content of a display module under test after it is lit, and obtain the brightness ratio and chromaticity features (also known as color score) of the target image. The brightness feature characterizes the brightness of each LED in the display module under test; the chromaticity feature characterizes the color depth of each LED in the display module under test. Subsequently, based on the brightness and chromaticity features, abnormal LEDs exhibiting color mixing defects in the display module under test can be detected.

[0013] Since the brightness and color depth of abnormal LEDs differ from those of normal LEDs, this application can identify abnormal LEDs with color mixing defects based on the brightness and chromaticity characteristics of the target image of the displayed content of the LED module under test when the module is lit. This solves the problem that general methods cannot detect color mixing defects when the LED is normally lit, enriches the detection methods for color mixing defects in LED displays, and improves the detection accuracy of color mixing defects in LED displays. Attached Figure Description

[0014] The accompanying drawings are provided to better understand this solution and do not constitute a limitation of this disclosure. Wherein:

[0015] Figure 1 This is a schematic diagram of a scenario for an abnormal light spot detection system provided in an embodiment of this disclosure;

[0016] Figure 2A flowchart illustrating an abnormal light spot detection method provided in this embodiment of the disclosure;

[0017] Figure 3 A flowchart illustrating another abnormal light spot detection method provided in this embodiment of the present disclosure;

[0018] Figure 4 A flowchart illustrating another abnormal light spot detection method provided in this embodiment of the present disclosure;

[0019] Figure 5 A flowchart illustrating another abnormal light spot detection method provided in this embodiment of the present disclosure;

[0020] Figure 6 A flowchart illustrating another abnormal light spot detection method provided in this embodiment of the present disclosure;

[0021] Figure 7 A flowchart illustrating another abnormal light spot detection method provided in this embodiment of the present disclosure;

[0022] Figure 8 A flowchart illustrating another abnormal light spot detection method provided in this embodiment of the present disclosure;

[0023] Figure 9 This is a schematic diagram of the structure of an abnormal light spot detection device provided in an embodiment of the present disclosure;

[0024] Figure 10 This is a schematic block diagram of an electronic device provided in an embodiment of the present disclosure. Detailed Implementation

[0025] The technical solutions of the embodiments of this disclosure will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of this disclosure, and not all embodiments. Based on the embodiments of this disclosure, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this disclosure.

[0026] It is understood that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of this application described herein can be implemented in orders other than those illustrated or described herein. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0027] It should also be understood that the term "comprising" indicates the presence of the described feature, whole, step, operation, element and / or component, but does not exclude the presence or addition of one or more other features, wholes, steps, operations, elements and / or components.

[0028] As described in the background section, color mixing defects refer to the situation in an LED display screen where, during the display process, when an indicator signal is used to indicate that a certain color (e.g., blue) LED in a certain light group is lit, one or more other colors (e.g., red or red and green) LEDs in the same light group (i.e., abnormal LEDs) will also light up simultaneously, resulting in a distortion of the display screen's display effect.

[0029] The aforementioned color mixing defect may be caused by issues in the LED display's manufacturing process or the lighting driver. Therefore, in the LED display production chain, the rework stage requires repairing each abnormal LED. In this case, it is necessary to locate each abnormal LED. Therefore, simply identifying the abnormal display module is insufficient for quickly repairing the abnormal LEDs.

[0030] Since abnormal LEDs are not controlled to light up and will automatically light up when powered on, a common method is to control the display to show a black screen (i.e., control each LED to not light up) while the display is powered on, and identify the LEDs that light up in the black screen as abnormal LEDs.

[0031] However, the general method can only detect abnormal LEDs that are constantly lit when the LED display shows a black screen after being powered on, and cannot detect color mixing defects when the LED is lit normally, which has certain limitations.

[0032] To address the aforementioned issues, this application provides an abnormal LED detection method. This method acquires a target image of the displayed content of a lit display module under test, and obtains the brightness ratio and chromaticity features (also known as color score) of the target image. The brightness feature characterizes the brightness of each LED in the display module under test; the chromaticity feature characterizes the color depth of each LED. Subsequently, based on the brightness and chromaticity features, abnormal LEDs exhibiting color mixing defects in the display module under test can be detected.

[0033] Since the brightness and color depth of abnormal LEDs differ from those of normal LEDs, this application can identify abnormal LEDs with color mixing defects based on the brightness and chromaticity characteristics of the target image of the displayed content of the LED module under test when the module is lit. This solves the problem that general methods cannot detect color mixing defects when the LED is normally lit, enriches the detection methods for color mixing defects in LED displays, and improves the detection accuracy of color mixing defects in LED displays.

[0034] The abnormal light detection method provided in this application embodiment can be applied to... Figure 1 The abnormal light detection system shown. Figure 1 This is a schematic diagram of the structural scene of an abnormal light spot detection system provided in an embodiment of the present disclosure. The abnormal light spot detection system may include: an LED display screen 101, an image acquisition device 102, and an abnormal light spot detection device 103.

[0035] The LED display screen 101 may include multiple display modules. Each display module may include multiple LEDs (also referred to as LED beads). When implementing the abnormal LED detection method provided in this application embodiment, the multiple display modules may include the display module to be detected.

[0036] Optionally, the display module to be tested can be any one of the multiple display modules of the LED display screen 101, or it can be one or more display modules specified according to requirements. This application embodiment does not limit this.

[0037] In this embodiment, when the LED display screen 101 is lit, the color of the displayed image can be any color, such as red (R), blue (B), green (G), or white (W). Furthermore, the LED display screen 101 does not require an external light source.

[0038] It should be noted that this application does not limit the type of LED display screen. For example, subpixel LED display screens, real-pixel LED display screens, etc. The LED display screen can be a conventional LED display screen, or it can be MicroLED, MiniLED, or future new types of LED display screens. Furthermore, in some embodiments, the packaging method of the display screen can also be one of the following: for example, surface mount device (SMD), chip on board (COB), chip on glass (COG), or future novel packaging methods.

[0039] Image acquisition device 102 is used to capture a target image of the display content of the display module to be tested after it is lit up, and send the target image to abnormal light spot detection device 103 so that abnormal light spot detection device 103 can detect abnormal light spots with color mixing defects in the display module to be tested based on the target image.

[0040] In this embodiment of the application, the number of image acquisition devices 102 can be one or more. Figure 1 Let's take one as an example.

[0041] For example, if an image acquisition device 102 can capture the complete display content of the display module under test, the number of image acquisition devices 102 can be one. In order to capture the complete display content of the display module under test, the shooting angle (e.g., the angle directly facing the center of the LED display screen 101) and / or shooting distance of the image acquisition device 102 can be set as needed.

[0042] Accordingly, if one image acquisition device 102 cannot capture the complete display content of the display module to be tested, there can be multiple image acquisition devices 102, and the multiple image acquisition devices 102 have different shooting angles and / or shooting distances, so that multiple image acquisition devices 102 can capture the complete display content of the display module to be tested.

[0043] It should be noted that since the abnormal light spot detection device 103 needs to determine the color features based on the target image acquired by the image acquisition device 102, the image acquisition device 102 is required to be a color camera and be able to acquire the complete display content of the display module to be detected, that is, the display content of the display module to be detected needs to be entirely within the field of view of the image acquisition device 102.

[0044] In addition, the image acquisition device 102 also needs to acquire each light point of the display module to be tested, that is, the image acquisition device 102 is required to acquire clear images of each light point of the display module to be tested, and successfully capture the light points with color mixing defects.

[0045] Optionally, this application does not limit the type, resolution, model, or acquisition distance of the image acquisition device 102. For example, the image acquisition device 102 may be a digital camera (including point-and-shoot cameras, mirrorless cameras, and SLR cameras, etc.), a smartphone with image capture capabilities, a surveillance camera, an industrial camera, a dashcam, aerial photography equipment, medical imaging equipment, etc.

[0046] The abnormal light spot detection device 103 is connected to the image acquisition device 102 and is used to acquire the target image (i.e., the image captured by the image acquisition device 102 of the display content of the display module to be tested after it is lit) and to acquire the brightness and chromaticity features of the target image. Subsequently, the abnormal light spot detection device 103 can detect abnormal light spots with color mixing defects in the display module to be tested based on the brightness and chromaticity features.

[0047] Optionally, this application does not limit the type of abnormal light spot detection device 103. For example, the abnormal light spot detection device 103 may be a host computer, a lighting machine, a sorting machine, or other display screen or light panel defect detection equipment.

[0048] Understandable Figure 1 The abnormal light detection system provided in this application embodiment is only one example in this application embodiment. The abnormal light detection system and corresponding scenarios described in this application embodiment are for the purpose of more clearly illustrating the technical solutions provided in this application embodiment and do not constitute a limitation on the technical solutions provided in this application embodiment. As those skilled in the art will know, with the emergence of new business scenarios, the technical solutions provided in this application embodiment are also applicable to similar technical problems.

[0049] For example, the above is merely one implementation of the abnormal light spot detection method provided in this application embodiment. The steps performed by the abnormal light spot detection device 103 can also be performed on other devices connected to the abnormal light spot detection device 103. Therefore, the abnormal light spot detection device is taken as the execution subject in the following detailed description of the abnormal light spot detection method provided in this application embodiment.

[0050] Figure 2 A flowchart illustrating an abnormal light spot detection method provided in an embodiment of this application is shown. Figure 2 As shown, the abnormal light spot detection method includes: S201-S203.

[0051] S201, The abnormal light detection device acquires a target image of the display content of the display module to be tested after it is lit.

[0052] Specifically, as can be seen from the background technology, the general abnormal light point detection method can only detect abnormal light points that are constantly lit when the LED display screen displays a black screen after being powered on, and cannot detect color mixing defects when it is normally lit. Therefore, in order to detect color mixing defects when the LED display screen is normally lit, this application needs to first light up the display module to be tested of the LED display screen.

[0053] Next, the image acquisition device can capture the display content of the illuminated display module under test to obtain a target image. Correspondingly, the abnormal light detection device can acquire the target image from the image acquisition device, that is, acquire the target image captured from the display content of the illuminated display module under test.

[0054] As described above, since this application requires anomaly detection for each light point in the display module to be inspected, the target image needs to include the complete display content of the display module to be inspected, and each light point needs to be clearly imaged, and the light points with color mixing defects need to be successfully captured.

[0055] Optionally, the display content of the aforementioned display module to be tested can be any content, which can be set according to the color of the screen. For example, when the color of the screen is red, the display content will be all red.

[0056] S202. The abnormal light spot detection device acquires the brightness and chromaticity features of the target image.

[0057] Among them, the brightness feature is used to characterize the brightness of each lamp point in the display module under test; the chromaticity feature is used to characterize the color depth of each lamp point in the display module under test.

[0058] Specifically, since abnormal light points have different brightness and chromaticity compared to normal light points, after acquiring the target image, the abnormal light point detection device can acquire the brightness (i.e., brightness feature) and color depth (i.e., chromaticity feature) of each light point in the display module to be inspected, so as to detect abnormal light points with color mixing defects in the display module to be inspected based on the brightness and chromaticity features.

[0059] Optionally, before acquiring the brightness and color depth of each LED in the display module under test, it is necessary to first obtain the outline and position of each LED. In this case, the LED display screen can be controlled to display a white image first, that is, the color of the screen image can be set to white. Then, the image acquisition device can acquire the image of the white image displayed on the LED display screen, and extract the outline and position of the LEDs based on the image of the white image, thereby obtaining the outline and position of each LED.

[0060] After obtaining the outline and position of each light point, the abnormal light point detection device can obtain the brightness and color depth of each light point based on the target image and the outline and position of each light point.

[0061] Optionally, the abnormal light spot detection device can perform at least one color channel separation on the target image based on color channel separation technology to obtain a separated image, and extract the brightness value of each light spot in the separated image to obtain a first image. The first image includes the brightness value of each light spot.

[0062] Next, the abnormal light spot detection device can filter the first image to obtain a second image. The second image represents the image after removing the influence of abnormal light spots on the brightness of the first image.

[0063] Since the first image represents the image after the influence of abnormal light points on the brightness of the separated image has not been removed, and the second image represents the image after the influence of abnormal light points on the brightness of the first image has been removed, the abnormal light point detection device can determine the brightness characteristics of each light point based on the first image and the second image.

[0064] Optionally, the abnormal light spot detection device can also obtain the brightness features of the target image based on other brightness feature extraction techniques, which is not limited in this embodiment.

[0065] Optionally, the first image includes at least one image to be detected, each corresponding to at least one color channel. The abnormal light spot detection device can perform image fusion on the at least one image to be detected and map the fused image into a preset color space to obtain a chromaticity representation image of the display module to be detected. The chromaticity representation image includes the chromaticity value of each light spot.

[0066] Next, for any light point in the chromaticity representation image, since the color depth of adjacent light points is usually similar or the same, the abnormal light point detection device can determine the chromaticity feature value of the light point based on the chromaticity value of the light point and the chromaticity value of the neighboring light points (the distance from the light point is less than a preset distance), and determine the chromaticity feature of the target image based on the chromaticity feature value of the light point.

[0067] Optionally, the abnormal light spot detection device can also obtain the chromaticity features of the target image based on other chromaticity feature extraction techniques, which is not limited in this embodiment.

[0068] S203. Abnormal light spot detection equipment detects abnormal light spots in the display module under test that have color mixing defects based on brightness and chromaticity characteristics.

[0069] After acquiring the brightness and chromaticity features of the target image, since the brightness and color depth values ​​of abnormal light points with color mixing defects have obvious abrupt changes, the abnormal light point detection device can detect abnormal light points with color mixing defects in the display module under test based on the brightness and chromaticity features.

[0070] Optionally, the abnormal light spot detection device can identify a light spot as an abnormal light spot when the brightness feature indicates that the brightness of the target light spot is greater than a first preset threshold, and the chromaticity feature indicates that the color depth of the target light spot is greater than a second preset threshold.

[0071] The first preset threshold and the second preset threshold can be flexibly set according to requirements, and this application embodiment does not limit them.

[0072] In some embodiments, combined with Figure 2 ,like Figure 3 As shown, in S202 above, the method for the abnormal light spot detection device to acquire the brightness features of the target image specifically includes:

[0073] S301. The abnormal light spot detection device separates at least one color channel of the target image to obtain the separated image.

[0074] Color channel separation separates different color channels of a color image (such as red, green, blue (R, G, B) channels or channels of other color spaces) so that each channel can be processed or analyzed individually.

[0075] Each separated channel is a two-dimensional array representing the intensity distribution of that color channel in the image. Color channel separation makes it easier to process specific channels, such as adjusting their brightness or contrast, or applying specific algorithms. After processing each channel, they can be re-merged into a color image using appropriate methods. In this embodiment, separating at least one color channel of the target image facilitates the subsequent acquisition of the target image's brightness features based on the separated images.

[0076] Optionally, in the field of image processing, OpenCV (a commonly used computer vision library) or Python's NumPy library (the target image needs to be stored as a NumPy array) is typically used for color channel separation. Different image processing libraries or programming languages ​​may have slightly different implementations, but the basic principle is similar: to separate and process the channels based on the channel information of the target image.

[0077] In addition, some image processing software (such as Photoshop) also provides color channel separation and manipulation functions. In practical applications, the appropriate color channel separation method can be selected according to specific needs and the tools used; this application does not limit this approach.

[0078] S302. The abnormal light spot detection device extracts the brightness value of each light spot in the separated image to obtain the first image.

[0079] The first image includes the brightness value of each light point.

[0080] Specifically, when obtaining the brightness value of each light point, the abnormal light point detection device first needs to obtain the position of each light point.

[0081] Optionally, the image acquisition device can acquire an image of the white screen displayed on the LED display screen, and extract the outline and position of the light points based on the image of the white screen, thereby obtaining the outline and position of each light point.

[0082] Optionally, the image acquisition device can also obtain the outline and position of each LED dot from the factory parameters of the LED display screen.

[0083] Of course, the image acquisition device can also obtain the contour and position of each light point based on other methods (such as multi-scale decomposition, image filtering, edge detection and other image processing techniques), and this application embodiment does not limit this.

[0084] After determining the outline and position of each light point, the abnormal light point detection device can extract the brightness value of each light point in the separated image to obtain the first image (also known as the light point brightness data map).

[0085] Optionally, in extracting the brightness value of each light point in the separated image, the image acquisition device can extract standard brightness image data from the standard image data, and combine the contour and position of each light point with the standard brightness image data to obtain the brightness value of each light point in the separated image.

[0086] Optionally, the image acquisition device can also use a machine vision system to obtain the brightness value of each light point in the separated image, but this application embodiment does not limit this.

[0087] For example, consider a target image containing red, green, and blue (R, G, B) colors. The abnormal light detection device can separate the R, G, and B color channels of the target image, obtaining three separate images. Then, the brightness value of each light point can be extracted from each of the three images to obtain the first image: image 1 to be detected (denoted as fg1, corresponding to the image after red channel separation), image 2 to be detected (denoted as fg2, corresponding to the image after green channel separation), and image 3 to be detected (denoted as fg3, corresponding to the image after blue channel separation).

[0088] Each first image includes the brightness value of each light point.

[0089] S303, The abnormal light spot detection device filters the first image to obtain the second image.

[0090] The second image represents the image after removing the influence of abnormal light spots on the brightness of the first image.

[0091] Specifically, in order to accurately obtain the brightness characteristics of each light point, the abnormal light point detection device also needs to acquire an image (i.e., the second image, or background image) after removing the influence of abnormal light points on the brightness of the first image. This allows for subsequent determination of the brightness characteristics of each light point based on the first and second images. In this case, the abnormal light point detection device can filter the first image to obtain the second image.

[0092] Image filtering is an important technique in image processing, mainly used for smoothing images, removing noise, and enhancing edges. In this embodiment, the abnormal light spot detection device can perform filtering on the first image to obtain an image after removing the influence of abnormal light spots on the brightness of the first image.

[0093] Optional, common filtering methods typically include: mean filtering, median filtering, and Gaussian filtering.

[0094] Mean filtering replaces the value of each pixel with the average of the values ​​of its neighboring pixels. This can effectively reduce noise. For example, for a 3x3 neighborhood, the value of the center pixel is replaced with the average of the values ​​of these 9 pixels.

[0095] Median filtering replaces the value of each pixel with the median value of its neighboring pixels. It is effective at removing salt-and-pepper noise while preserving image edge information relatively well. For example, for a 3x3 neighborhood, the values ​​of the nine pixels are first sorted, and then the median value is taken as the new value for the center pixel.

[0096] Gaussian filtering is a weighted average filter based on the Gaussian function. It places more emphasis on the values ​​of the center pixels in the neighborhood, resulting in a more natural smoothing effect on the image.

[0097] In this embodiment of the application, the abnormal light spot detection device can first perform median filtering on the first image, and then perform mean filtering on the image after median filtering to obtain the second image.

[0098] Of course, the abnormal light spot detection device can also filter the first image based on other filtering processing techniques to obtain the second image, and this application embodiment does not limit this.

[0099] Continuing with the above example, after obtaining the image to be detected 1, the image to be detected 2, and the image to be detected 3, the abnormal light spot detection device can perform median filtering (kernel size n*n) and mean filtering (kernel size m*m) on the image to be detected 1, the image to be detected 2, and the image to be detected 3 respectively, to obtain the second image: background image 1 (denoted as bg1, corresponding to the image to be detected 1), background image 2 (denoted as bg2, corresponding to the image to be detected 2), and background image 3 (denoted as bg3, corresponding to the image to be detected 3).

[0100] S304. The abnormal light spot detection device determines the brightness characteristics of each light spot based on the first image and the second image.

[0101] Specifically, since the first image represents the image after the influence of abnormal light points on the brightness of the separated image has not been removed, and the second image represents the image after the influence of abnormal light points on the brightness of the first image has been removed, the abnormal light point detection device can determine the brightness characteristics of each light point based on the first image and the second image.

[0102] In some embodiments, the method for the abnormal light spot detection device to determine the brightness characteristics of each light spot based on the first image and the second image specifically includes:

[0103] The abnormal light spot detection device determines the difference image between the first image and the second image, and determines the brightness characteristics of the target image based on the brightness difference value of each light spot.

[0104] The difference image includes the brightness difference value of each light point.

[0105] Specifically, the difference image between the first image and the second image can represent the difference in brightness value of each light point in the first image and the second image. Therefore, the brightness characteristics used to determine abnormal light points can be obtained through the brightness difference value of each light point in the difference image.

[0106] Optionally, since the first image includes the brightness value of each light point after the brightness influence of abnormal light points on the separated image has not been removed, and the second image includes the brightness value of each light point after the brightness influence of abnormal light points on the separated image has been removed, the abnormal light point detection device can determine the difference between the brightness values ​​of each light point in the first image and the second image as the brightness difference value of each light point.

[0107] Next, the abnormal light spot detection device can perform threshold processing on the brightness difference value of each light spot, that is, determine the relationship between the brightness difference value of each light spot and the first preset threshold, and determine the relationship between the two to determine the brightness characteristics of each light spot.

[0108] For example, if the brightness difference value of light point 1 is greater than or equal to the first preset threshold, then the brightness feature of light point 1 is determined to be 1. Conversely, if the brightness difference value of light point 1 is less than the first preset threshold, then the brightness feature of light point 1 is set to 0.

[0109] Continuing with the above example, after obtaining bg1, bg2, and bg3, the abnormal light spot detection device can subtract the second image (denoted as bg) from the first image (denoted as fg) to obtain the difference image (denoted as diff): difference image 1 (denoted as diff1, corresponding to bg1), difference image 2 (denoted as diff2, corresponding to bg2), and difference image 3 (denoted as diff3, corresponding to bg3).

[0110] The difference image satisfies the following formula:

[0111] diff = fg - bg.

[0112] Next, the abnormal light spot detection device can perform thresholding on the brightness difference values ​​of each light spot in diff1, diff2, and diff3 to obtain the brightness features of each light spot in each difference image.

[0113] Next, the abnormal light spot detection device can also fuse the brightness features of each light spot in each differential image to obtain the brightness features of each light spot in the target image.

[0114] In some embodiments, combined with Figure 3 ,like Figure 4 As shown, the method for the abnormal light spot detection device to acquire the chromaticity features of the target image in S202 above specifically includes:

[0115] S401. The abnormal light spot detection device performs image fusion on at least one image to be detected and maps the image fused into a preset color space to obtain the chromaticity representation image of the display module to be detected.

[0116] The chromaticity representation of the image includes the chromaticity value of each light point.

[0117] Specifically, as can be seen from the above, the first image includes at least one image to be detected that corresponds one-to-one with at least one color channel, and the image to be detected is an image after the color channels are separated. Therefore, in order to obtain the chromaticity features of the target image, the abnormal light spot detection device can perform image fusion on at least one image to be detected and map the image after image fusion to a preset color space to obtain the chromaticity representation image of the display module to be detected (denoted as img color).

[0118] Channel fusion is the process of recombining separated single-channel images into a multi-channel image. This can be achieved by merging the values ​​from individual channels according to certain rules. For example, for an RGB image, the `merge` function in OpenCV can be used to merge the processed R, G, and B channels into a new RGB image. During the fusion process, the weights of each channel can be adjusted as needed to achieve different effects.

[0119] The purpose of mapping the fused image to a preset color space is usually to more effectively process, analyze, or manipulate color information to meet specific needs. Different color spaces have different characteristics and are suitable for different application scenarios. In this embodiment, mapping the fused image to a preset color space can accurately obtain the chromaticity representation image of the display module to be detected.

[0120] S402. For any light point in the chromaticity representation image, the abnormal light point detection device determines the chromaticity feature value of the light point based on the chromaticity value of the light point and the chromaticity value of the neighboring light points, and determines the chromaticity feature of the target image based on the chromaticity feature value of the light point.

[0121] Among them, the distance between neighboring lights is less than the preset distance.

[0122] As can be seen from the above, since the chromaticity representation image includes the chromaticity value of each light point, and the chromaticity values ​​of adjacent light points are usually the same or similar, for any light point in the chromaticity representation image, the abnormal light point detection device can determine the chromaticity feature value of the light point based on the chromaticity value of the light point and the chromaticity value of the neighboring light points, and determine the chromaticity feature of the target image based on the chromaticity feature value of the light point.

[0123] Optionally, the chromaticity characteristic values ​​of the light points satisfy the following formula:

[0124]

[0125] Where △S represents the chromaticity characteristic value of the light point, △a represents the difference between the chromaticity value of the light point and the theoretical chromaticity value in the red channel, △b represents the difference between the chromaticity value of the light point and the theoretical chromaticity value in the green channel, and △c represents the difference between the chromaticity value of the light point and the theoretical chromaticity value in the blue channel.

[0126] Optionally, the theoretical chromaticity value mentioned above can be the average value of the chromaticity values ​​of the neighboring light points, or the median value of the chromaticity values ​​of the neighboring light points. This application embodiment does not limit this.

[0127] After obtaining the chromaticity feature value of each light point, the abnormal light point detection device can determine the chromaticity feature value of each light point as the chromaticity feature of the target image.

[0128] In some embodiments, combined with Figure 4 ,like Figure 5 As shown, in S203 above, the method for the abnormal lamp point detection device to detect abnormal lamp points with color mixing defects in the display module to be tested based on brightness and chromaticity characteristics specifically includes:

[0129] S501. When the brightness feature indicates that the brightness of the target light point is greater than the first preset threshold, and the chromaticity feature indicates that the color depth of the target light point is greater than the second preset threshold, the abnormal light point detection device determines the target light point as an abnormal light point.

[0130] Specifically, since the brightness feature represents the relationship between the brightness difference value of each light point and the first preset threshold, and the brightness difference value of each light point is determined based on the difference between the brightness value of each light point after removing the brightness influence of abnormal light points on the separated image and the brightness value of each light point after removing the brightness influence of abnormal light points on the separated image, when the brightness feature is used to indicate that the brightness of the target light point is greater than the first preset threshold, it indicates that the brightness value of the target light point is abnormal. Therefore, the target light point can be identified as a candidate abnormal light point.

[0131] Next, since the chromaticity feature is determined based on the difference between the chromaticity value of each light point and the theoretical chromaticity value, when the chromaticity feature is used to indicate that the color depth of the target light point is greater than the second preset threshold, it indicates that the chromaticity value of the target light point is also abnormal. Therefore, the abnormal light point detection device can identify the target light point as an abnormal light point with a color mixing defect.

[0132] It should be noted that the embodiments of this application do not limit the order in which the abnormal light spot detection device judges the brightness and color depth of the target light spot.

[0133] In some embodiments, after identifying the abnormal light spot of the color mixing defect, the present application embodiments can further determine the location information of the abnormal light spot. Combined with Figure 5 ,like Figure 6 As shown, the method provided in this application embodiment further includes:

[0134] S601. The abnormal light spot detection device determines the location information of the abnormal light spot based on the first image.

[0135] Specifically, as can be seen from the above, when determining the first image, the abnormal light spot detection device needs to obtain the position information of each light spot. That is, the first image includes the position information of each light spot. Therefore, after identifying the abnormal light spot with the color mixing defect, the abnormal light spot detection device can determine the position information of the abnormal light spot based on the first image.

[0136] Optionally, the above location information can be the location coordinates of the abnormal light point.

[0137] In some embodiments, after determining the abnormal light spot with color mixing defect, the embodiments of this application may further determine the abnormal color information of the abnormal light spot. Combined with Figure 6 ,like Figure 7 As shown, the method provided in this application embodiment further includes:

[0138] S701, the abnormal light point detection equipment determines the chromaticity values ​​of other light points based on the chromaticity representation image.

[0139] Among them, the other lights are the lights in the display module to be tested, excluding the abnormal lights.

[0140] Specifically, as shown above, when determining the chromaticity representation image, the abnormal light point detection device needs to obtain the chromaticity value of each light point. That is, the chromaticity representation image includes the chromaticity value of each light point. Since the chromaticity value of the abnormal light point is usually different from that of other light points, after identifying the abnormal light point with the color mixing defect, the abnormal light point detection device can determine the chromaticity value of other light points based on the chromaticity representation image, so as to subsequently determine the abnormal color information of the abnormal light point based on the chromaticity value of other light points.

[0141] S702. The abnormal light point detection device determines the fusion value of the chromaticity values ​​of other light points, and determines the abnormal color information of the abnormal light point based on the difference between the fusion value and the chromaticity value of the abnormal light point.

[0142] Continuing with the above example, the abnormal light point detection device can remove the chromaticity values ​​of abnormal light points from the chromaticity representation image (img color), and fuse the chromaticity values ​​of the remaining light points (i.e., other light points) to obtain the overall chromaticity score feature value (denoted as S_bg) of the display module to be detected.

[0143] Next, the abnormal light spot detection device can calculate the difference between the chromaticity value of each light spot and S_bg (denoted as diff_S), and determine the abnormal color information of the abnormal light spot based on diff_S.

[0144] Where, diff_S satisfies the following formula:

[0145] diff_S = S_bg - chromaticity value of abnormal light point.

[0146] In some embodiments, after determining the location information of the abnormal light points of the color mixing defect, the embodiments of this application can further determine the root cause of the abnormality of the display module to be tested. Combined with Figure 7 ,like Figure 8 As shown, the method provided in this application embodiment further includes:

[0147] S801, Abnormal LED detection equipment acquires abnormal detection data of the display module to be tested.

[0148] When there are multiple display modules to be tested, the anomaly detection data includes the repetition of the position information of the abnormal LEDs in each display module. Alternatively, when abnormal LEDs of the display modules to be tested are detected multiple times, the anomaly detection data includes the repetition of the position information of the abnormal LEDs in each detection.

[0149] Specifically, if the root cause of the abnormality of the display module under test is the abnormality of the display module under test, the repetition rate of the abnormal light points of multiple display modules under test is usually high, or the repetition rate of the abnormal light points is low when the abnormal light points of the display module under test are tested multiple times.

[0150] If the root cause of the abnormality of the display module under test is the abnormality of the lamp board of the display module under test, the repetition rate of the abnormal lamp positions of multiple display modules under test is usually small, or the repetition rate of the abnormal lamp positions is large when the abnormal lamps of the display module under test are tested multiple times.

[0151] Therefore, in order to accurately determine the root cause of the abnormality in the display module under test, the abnormal light detection device can, when there are multiple display modules under test, obtain the repetition of the position information of the abnormal light points in each display module under test. Alternatively, when detecting the abnormal light points of the display module under test multiple times, it can obtain the repetition of the position information of the abnormal light points in each detection.

[0152] S802. The abnormal light spot detection equipment determines the root cause of the abnormality of the display module to be tested based on the abnormal detection data.

[0153] In some embodiments, the method for the abnormal light spot detection device to determine the root cause of the abnormality of the display module to be detected based on the abnormality detection data specifically includes:

[0154] The abnormal light spot detection equipment determines the repetition rate of abnormal light spot locations based on the abnormal detection data.

[0155] When there are multiple display modules to be tested, if the repetition rate of abnormal lamp positions is greater than a preset ratio, the root cause of the abnormality is determined to be a driving malfunction of the display module under test. Alternatively, if the repetition rate of abnormal lamp positions is less than or equal to the preset ratio, the root cause of the abnormality is determined to be a lamp board malfunction of the display module under test.

[0156] If, after multiple checks of abnormal LED positions in the display module under test, the repetition rate of the abnormal LED positions is greater than a preset ratio, the root cause of the abnormality is determined to be a faulty LED board in the display module under test. Alternatively, if the repetition rate of the abnormal LED positions is less than or equal to the preset ratio, the root cause of the abnormality is determined to be a faulty driver in the display module under test.

[0157] Subsequently, if the root cause of the anomaly is determined to be a driver malfunction in the display module under test, the driver of the display module under test can be repaired. If the root cause is determined to be a lamp board malfunction in the display module under test, the process flow or manufacturing process of the display module under test can be investigated.

[0158] The above mainly describes the solution of the embodiments of this application from a methodological perspective. It is understood that, in order to achieve the above functions, the abnormal light detection device includes hardware structures and / or software modules corresponding to the execution of each function. Those skilled in the art should readily recognize that, in conjunction with the units and algorithm steps of the various examples described in the embodiments disclosed herein, the embodiments of this application can be implemented in hardware or a combination of hardware and computer software. Whether a function is executed by hardware or by computer software driving hardware 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 the embodiments of this application.

[0159] This application embodiment can divide the abnormal light detection device into functional units according to the above method example. For example, each function can be divided into a separate functional unit, or two or more functions can be integrated into one processing unit. The integrated unit can be implemented in hardware or as a software functional unit. It should be noted that the unit division in this application embodiment is illustrative and only represents one logical functional division. In actual implementation, there may be other division methods.

[0160] like Figure 9 As shown, this application embodiment provides an abnormal light spot detection device, including: an acquisition unit 901 and a processing unit 902;

[0161] The acquisition unit 901 is used to acquire a target image of the display content of the display module to be tested after it is lit up.

[0162] The acquisition unit 901 is also used to acquire the brightness features and chromaticity features of the target image; the brightness features are used to characterize the brightness of each light point in the display module to be detected; the chromaticity features are used to characterize the color depth of each light point in the display module to be detected.

[0163] The processing unit 902 is used to detect abnormal light points in the display module to be tested that have color mixing defects based on brightness and chromaticity characteristics.

[0164] In some embodiments, the acquisition unit 901 is specifically used for:

[0165] Separate at least one color channel from the target image to obtain the separated image;

[0166] The brightness value of each light point in the separated image is extracted to obtain the first image; the first image includes the brightness value of each light point.

[0167] The first image is filtered to obtain the second image; the second image is used to represent the image after removing the influence of abnormal light spots on the brightness of the first image.

[0168] Based on the first and second images, determine the brightness characteristics of each light point.

[0169] In some embodiments, the acquisition unit 901 is specifically used for:

[0170] Determine the difference image between the first image and the second image; the difference image includes the brightness difference value of each light point;

[0171] The brightness characteristics of the target image are determined based on the brightness difference value of each light point.

[0172] In some embodiments, the first image includes at least one image to be detected, each corresponding to at least one color channel; the acquisition unit 901 is specifically used for:

[0173] At least one image to be detected is fused, and the fused image is mapped to a preset color space to obtain a chromaticity representation image of the display module to be detected; the chromaticity representation image includes the chromaticity value of each light point;

[0174] For any light point in the chromaticity representation image, the chromaticity feature value of the light point is determined based on the chromaticity value of the light point and the chromaticity values ​​of neighboring light points. Then, the chromaticity feature of the target image is determined based on the chromaticity feature value of the light point. The distance between neighboring light points is less than a preset distance.

[0175] In some embodiments, the first image includes location information for each light point; the processing unit 902 is further configured to determine the location information of abnormal light points based on the first image.

[0176] In some embodiments, the processing unit 902 is further configured to determine the chromaticity values ​​of other light points based on the chromaticity representation image; the other light points are light points in the display module to be detected other than abnormal light points;

[0177] The processing unit 902 is also used to determine the fusion value of the chromaticity values ​​of other light points, and to determine the abnormal color information of the abnormal light points based on the difference between the fusion value and the chromaticity value of the abnormal light points.

[0178] In some embodiments, the processing unit 902 is specifically used for:

[0179] If the brightness feature indicates that the brightness of the target light point is greater than a first preset threshold, and the chromaticity feature indicates that the color depth of the target light point is greater than a second preset threshold, the target light point is identified as an abnormal light point.

[0180] In some embodiments, the acquisition unit 901 is further configured to acquire abnormal detection data of the display module to be tested; when there are multiple display modules to be tested, the abnormal detection data includes the repetition of the position information of the abnormal light points of each display module to be tested; or, when the abnormal light points of the display module to be tested are detected multiple times, the abnormal detection data includes the repetition of the position information of the abnormal light points of the display module to be tested each time.

[0181] The processing unit 902 is also used to determine the root cause of the abnormality of the display module to be detected based on the abnormality detection data.

[0182] In some embodiments, the processing unit 902 is specifically used for:

[0183] Based on the anomaly detection data, determine the repetition rate of the abnormal light locations;

[0184] When there are multiple display modules to be tested, if the repetition rate of abnormal lamp positions is greater than a preset ratio, the root cause of the abnormality is determined to be a driving abnormality of the display module to be tested; or, if the repetition rate of abnormal lamp positions is less than or equal to a preset ratio, the root cause of the abnormality is determined to be a lamp board abnormality of the display module to be tested.

[0185] If the repetition rate of abnormal LEDs in the display module under test is greater than a preset ratio when multiple tests are performed, the root cause of the abnormality is determined to be an abnormality in the LED board of the display module under test; or, if the repetition rate of abnormal LEDs is less than or equal to the preset ratio, the root cause of the abnormality is determined to be an abnormality in the drive of the display module under test.

[0186] According to embodiments of the present disclosure, the present disclosure also provides an electronic device, including at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executed by the at least one processor to enable the at least one processor to perform the abnormal light spot detection method provided by the present disclosure.

[0187] According to embodiments of this disclosure, this disclosure also provides a non-transitory computer-readable storage medium storing computer instructions, wherein the computer instructions are used to cause an electronic device to execute the abnormal light detection method provided in this disclosure.

[0188] According to embodiments of this disclosure, this disclosure also provides a computer program product, including a computer program that, when executed by a processor, implements the abnormal light spot detection method provided in this disclosure.

[0189] Figure 10 A schematic block diagram of an example electronic device 1000 that can be used to implement embodiments of the present disclosure is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present disclosure described and / or claimed herein.

[0190] like Figure 10 As shown, the electronic device 1000 includes a computing unit 1001, which can perform various appropriate actions and processes according to a computer program stored in a read-only memory 1002 or a computer program loaded from a storage unit 1008 into a random access memory 1003. The random access memory (RAM) 1003 may also store various programs and data required for the operation of the electronic device 1000. The computing unit 1001, the read-only memory (ROM) 1002, and the RAM 1003 are interconnected via a bus 1004. An input / output (I / O) interface 1005 is also connected to the bus 1004.

[0191] Multiple components in electronic device 1000 are connected to input / output interface 1005, including: input unit 1006, such as keyboard, mouse, etc.; output unit 1007, such as various types of monitors, speakers, etc.; storage unit 1008, such as disk, optical disk, etc.; and communication unit 1009, such as network card, modem, wireless transceiver, etc. Communication unit 1009 allows electronic device 1000 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0192] The computing unit 1001 can be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the computing unit 1001 include, but are not limited to, a central processing unit, a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various computing units running machine learning model algorithms, digital signal processors, and any suitable processor, controller, microcontroller, etc. The computing unit 1001 performs the various methods and processes described above, such as the data matching method. For example, in one embodiment, the data matching method can be implemented as a computer software program tangibly included in a machine-readable medium, such as storage unit 1008. In one embodiment, part or all of the computer program can be loaded and / or installed on the electronic device 1000 via ROM 702 and / or communication unit 1009. When the computer program is loaded into RAM 1003 and executed by the computing unit 1001, one or more steps of the data matching method described above can be performed. Alternatively, in other embodiments, the computing unit 1001 may be configured to perform a data matching method by any other suitable means (e.g., by means of firmware).

[0193] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays, application-specific integrated circuits (ASICs), application-specific standard parts (ASSPs), systems-on-chip (SoCs), complex programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0194] The program code used to implement the methods of this disclosure may be written in any combination of one or more programming languages. This program code may be provided to a processor or controller of a general-purpose computer, special-purpose computer, or other programmable data processing apparatus, such that when executed by the processor or controller, the program code causes the functions / operations specified in the flowcharts and / or block diagrams to be implemented. The program code may be executed entirely on a machine, partially on a machine, as a standalone software package partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0195] In the context of this disclosure, a machine-readable medium can be a tangible medium that may contain or store a program for use by or in conjunction with an instruction execution system, apparatus, or device. A machine-readable medium can be a machine-readable signal medium or a machine-readable storage medium. Machine-readable media can be, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory, read-only memory, erasable programmable read-only memory, optical fibers, portable compact disk read-only memory, optical storage devices, magnetic storage devices, or any suitable combination of the foregoing.

[0196] To provide interaction with a user, the systems and techniques described herein can be implemented on a computer having: a display device for displaying information to the user, such as a cathode ray tube (CRT) or liquid crystal display (LCD) monitor; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the computer. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0197] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as a data server), or computing systems that include middleware components (e.g., an application server), or computing systems that include frontend components (e.g., a user computer with a graphical user interface or web browser through which a user can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., a communication network). Examples of communication networks include local area networks (LANs), wide area networks (WANs), and the Internet.

[0198] Computer systems can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. Client-server relationships are created by computer programs running on the respective computers and having a client-server relationship with each other. Servers can be cloud servers, servers in distributed systems, or servers incorporating blockchain technology.

[0199] It should be understood that the various forms of processes shown above can be used to rearrange, add, or delete steps. For example, the steps described in this disclosure can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this disclosure can be achieved, and this is not limited herein.

[0200] The specific embodiments described above do not constitute a limitation on the scope of protection of this disclosure. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this disclosure should be included within the scope of protection of this disclosure.

Claims

1. A method for detecting abnormal light spots, characterized in that, include: Acquire a target image of the display content of the display module to be tested after it is lit up; Obtain the brightness and chromaticity features of the target image; The brightness feature is used to characterize the brightness of each lamp point in the display module to be tested; the chromaticity feature is used to characterize the color depth of each lamp point in the display module to be tested; Based on the brightness and chromaticity characteristics, abnormal light points in the display module to be tested that exhibit color mixing defects are detected.

2. The method according to claim 1, characterized in that, The step of acquiring the brightness features of the target image includes: The target image is subjected to at least one color channel separation to obtain the separated image; The brightness value of each light point in the separated image is extracted to obtain a first image; the first image includes the brightness value of each light point. The first image is filtered to obtain a second image; the second image is used to represent the image after removing the influence of abnormal light spots on the brightness of the first image. Based on the first image and the second image, the brightness characteristics of each light point are determined.

3. The method according to claim 2, characterized in that, The step of determining the brightness characteristics of each light point based on the first image and the second image includes: A difference image is determined between the first image and the second image; the difference image includes the brightness difference value of each light point; The brightness characteristics of the target image are determined based on the brightness difference value of each light point.

4. The method according to claim 2, characterized in that, The first image includes at least one image to be detected, each corresponding one-to-one with the at least one color channel; obtaining the chromaticity features of the target image includes: The at least one image to be detected is fused, and the fused image is mapped to a preset color space to obtain a chromaticity representation image of the display module to be detected; the chromaticity representation image includes the chromaticity value of each light point; For any light point in the chromaticity representation image, the chromaticity feature value of the light point is determined based on the chromaticity value of the light point and the chromaticity values ​​of neighboring light points, and the chromaticity feature of the target image is determined based on the chromaticity feature value of the light point; the distance between the neighboring light points and the light point is less than a preset distance.

5. The method according to claim 2, characterized in that, The first image includes the position information of each light point; the method further includes: Based on the first image, determine the location information of the abnormal light point.

6. The method according to claim 4, characterized in that, The method further includes: Based on the chromaticity representation image, determine the chromaticity values ​​of other light points; the other light points are the light points in the display module to be detected other than the abnormal light points; Determine the fusion value of the chromaticity values ​​of the other light points, and determine the abnormal color information of the abnormal light point based on the difference between the fusion value and the chromaticity value of the abnormal light point.

7. The method according to claim 1, characterized in that, The step of detecting abnormal light points with color mixing defects in the display module under test based on the brightness characteristics and the chromaticity characteristics includes: When the brightness feature indicates that the brightness of the target light point is greater than a first preset threshold, and the chromaticity feature indicates that the color depth of the target light point is greater than a second preset threshold, the target light point is identified as the abnormal light point.

8. The method according to any one of claims 1-7, characterized in that, The method further includes: Obtain abnormal detection data of the display module to be tested; when there are multiple display modules to be tested, the abnormal detection data includes the repetition of the position information of the abnormal light points of each display module to be tested; or, when the abnormal light points of the display module to be tested are detected multiple times, the abnormal detection data includes the repetition of the position information of the abnormal light points of the display module to be tested each time. Based on the anomaly detection data, the root cause of the anomaly in the display module to be tested is determined.

9. The method according to claim 8, characterized in that, The step of determining the root cause of the anomaly in the display module to be detected based on the anomaly detection data includes: Based on the anomaly detection data, determine the repetition rate of the abnormal light locations; When there are multiple display modules to be tested, if the repetition rate of the abnormal light point position is greater than a preset ratio, the root cause of the abnormality is determined to be a driving abnormality of the display module to be tested; or, if the repetition rate of the abnormal light point position is less than or equal to the preset ratio, the root cause of the abnormality is determined to be a lamp board abnormality of the display module to be tested. If the repetition rate of abnormal LEDs in the display module under test is greater than the preset ratio when multiple tests are performed, the root cause of the abnormality is determined to be an abnormality of the LED board of the display module under test; or, if the repetition rate of abnormal LEDs is less than or equal to the preset ratio, the root cause of the abnormality is determined to be an abnormality of the drive of the display module under test.

10. An abnormal light spot detection device, characterized in that, include: Acquisition unit and processing unit; The acquisition unit is used to acquire a target image of the display content of the display module to be detected after it is lit up; The acquisition unit is further configured to acquire the brightness and chromaticity features of the target image; The brightness feature is used to characterize the brightness of each lamp point in the display module to be tested; the chromaticity feature is used to characterize the color depth of each lamp point in the display module to be tested; The processing unit is used to detect abnormal light points in the display module to be tested that have color mixing defects based on the brightness characteristics and the chromaticity characteristics.

11. An electronic device, characterized in that, The electronic device includes: processor; A memory configured to store processor-executable instructions; The processor is configured to execute the instructions to implement the method as described in any one of claims 1-9.

12. A non-volatile storage medium, characterized in that, The storage medium stores a computer program, which, when read and executed, implements the method as described in any one of claims 1-9.

13. A computer program product, comprising instructions, characterized in that, When the instructions are executed on an electronic device, the electronic device causes the electronic device to perform the method as described in any one of claims 1-9.

14. An abnormal light spot detection system, characterized in that, include: The display module to be tested is used to display the content of the display module to be tested. Image acquisition equipment, used to capture target images of the display content of the display module to be tested after it is lit up; An abnormal light spot detection device is used to perform the method as described in any one of claims 1-9.

Images