A sub-pixel brightness extraction method and system for a micro-LED micro-display panel

Abstract

The application discloses a pixel brightness extraction algorithm for a Micro-LED micro display panel, and aims at the imaging characteristics of uneven brightness distribution in a Micro-LED sub-pixel bright spot, solves the defects of large extraction value deviation and high point finding precision requirement of a traditional brightness extraction scheme based on spatial position weight, and meets the precision requirement of a panel De-Mura cloud pattern removal compensation process. The method is based on the sub-pixel point finding position positioning corresponding light-emitting connected domain, the total number of camera pixels in the connected domain and the brightness value of each pixel are counted, the effective pixel number included in the calculation is determined in combination with the pixel mapping coefficient of the camera and the panel, the effective pixels are selected to perform equal weight average calculation to obtain the sub-pixel brightness, and the spatial position weight is not introduced in the whole calculation process. The application significantly improves the brightness extraction accuracy, improves the tolerance of point finding error, adapts to micro display panels of different processes, and effectively improves the panel De-Mura compensation effect.

Description

Technical Field

[0001] This invention relates to the field of display panel testing and calibration technology, and in particular to a method and system for extracting sub-pixel brightness of Micro-LED micro-display panels. Background Technology

[0002] During the display panel manufacturing process, fluctuations in the manufacturing process can easily lead to mura defects (uneven brightness) when the panel is lit, which severely degrades the display quality. To eliminate mura defects, a full-pixel de-mura compensation process must be performed before the panel leaves the factory. The de-mura equipment mainly consists of a high-precision industrial camera, a panel signal generator, a host computer processing unit, and supporting structural components. Among these, the sub-pixel brightness extraction algorithm is the core element that determines the compensation effect.

[0003] Micro-LED microdisplay technology, with its advantages of high brightness, low power consumption, and ultra-high pixel density, is considered the ultimate display solution for near-eye AR displays. However, due to limitations in current manufacturing processes, the sub-pixel imaging characteristics of Micro-LED microdisplay panels differ significantly from those of OLEDs. like Figure 2 As shown, OLED subpixels exhibit an approximately Gaussian brightness distribution under industrial camera conditions, with the center brighter and the edges darker, and the brightness smoothly decreasing from the center to the edges; while... Figure 3 As shown, Micro-LED sub-pixels appear as circular bright areas, and the brightness distribution within these areas is irregular with no clear central attenuation pattern, resulting in poor uniformity.

[0004] Traditional De-Mura brightness extraction often employs spatially based weighting schemes such as bilinear interpolation, using the sub-pixel center as a reference, with higher weights for pixels closer to the center. While this approach is suitable for the brightness distribution characteristics of OLEDs, its direct application to Micro-LED panels leads to the dilution of high-brightness pixels within bright areas by positional weighting, resulting in significant deviations between extracted and actual brightness values. Furthermore, this type of scheme is highly dependent on the accuracy of the pixel location, placing high demands on the device's pixel-finding algorithm; errors in pixel location directly impact the accuracy of brightness extraction. Therefore, there is an urgent need to design a brightness extraction algorithm adapted to the imaging characteristics of Micro-LED sub-pixels. Summary of the Invention

[0005] The purpose of this invention is to overcome the shortcomings of the prior art and provide a method and system for extracting sub-pixel brightness of Micro-LED micro-display panels, solving the technical problems of poor accuracy and high precision requirements for point finding when traditional position-weighted brightness extraction schemes are applied to Micro-LED panels.

[0006] To solve the above-mentioned technical problems, the technical solution adopted by the present invention is as follows: A method for extracting sub-pixel brightness in a Micro-LED microdisplay panel includes the following steps: S1, acquire the illuminated image of the Micro-LED micro-display panel captured by the industrial camera, locate the light-emitting connected region corresponding to each sub-pixel based on the preset sub-pixel point position; S2, count the total number of camera pixels in the light-emitting connected region corresponding to each sub-pixel, and the brightness value corresponding to each camera pixel; S3. Based on the total number of camera pixels in the light-emitting connected domain and combined with the pre-acquired pixel mapping coefficients between the camera and the panel, determine the effective number of camera pixels included in the brightness calculation for each sub-pixel. S4. Select a corresponding number of effective camera pixels from the light-emitting connected domain, perform a weighted average calculation to obtain the brightness extraction value of the sub-pixel, and do not introduce the spatial position weight of the camera pixels in the calculation process.

[0007] In a preferred embodiment, step S1, locating the luminous connected component corresponding to the sub-pixel specifically includes: A preset neighborhood range is defined with the sub-pixel's location as the center. Threshold segmentation is performed within the neighborhood range to extract pixel regions with brightness values ​​higher than the preset segmentation threshold. These pixel regions are then identified as the light-emitting connected regions corresponding to the sub-pixel.

[0008] In a preferred embodiment, the threshold segmentation employs an adaptive local threshold segmentation method, where the segmentation threshold is dynamically adjusted based on the background brightness value within the corresponding neighborhood range.

[0009] In a preferred embodiment, in step S3, the pixel mapping coefficient between the camera and the panel is the unidirectional linear size ratio of the imaging pixels of the industrial camera to the physical sub-pixels of the panel, that is, the number of camera pixels corresponding to a single panel sub-pixel in a unidirectional direction.

[0010] In a preferred embodiment, step S3, determining the effective number of camera pixels specifically involves: Calculate the square of the pixel mapping coefficient to obtain the theoretical number of camera pixels corresponding to a single sub-pixel; compare the total number of actual camera pixels in the luminous connected region with the theoretical number of camera pixels, and take the smaller of the two as the effective number of camera pixels included in the brightness calculation.

[0011] In a preferred embodiment, step S4 involves selecting effective camera pixels as follows: Sort all camera pixels within the luminous connected region according to their brightness values ​​from high to low, and select the pixels that are at the top of the sort and whose number matches the number of effective camera pixels as the effective pixels to participate in the brightness calculation.

[0012] In a preferred embodiment, in step S4, the weighted average calculation is an equal-weighted arithmetic average calculation, where the weight values ​​of all valid camera pixels are equal.

[0013] In a preferred embodiment, an image preprocessing step is included before step S1: background subtraction, Gaussian noise suppression, and lens geometric distortion correction are sequentially performed on the original illuminated image acquired by the industrial camera.

[0014] This invention also provides a sub-pixel brightness extraction system for Micro-LED micro-display panels, comprising: The image acquisition module is used to acquire illuminated grayscale images of the Micro-LED microdisplay panel using a high-precision industrial camera; The connected component localization module is used to locate the luminous connected component corresponding to each sub-pixel in the illuminated image based on the preset sub-pixel point positions. The pixel statistics module is used to count the total number of camera pixels in the light-emitting connected domain corresponding to each sub-pixel, as well as the brightness value corresponding to each camera pixel. The effective pixel determination module is used to determine the number of effective camera pixels included in the brightness calculation for each sub-pixel based on the total number of camera pixels in the light-emitting connected domain and the pre-acquired pixel mapping coefficient between the camera and the panel. The brightness calculation module is used to select a corresponding number of effective camera pixels from the light-emitting connected domain, perform a weighted average calculation, and obtain the brightness extraction value of the sub-pixel. The calculation process does not introduce the spatial position weight of the camera pixels.

[0015] In a preferred embodiment, the solution further includes a De-Mura compensation module, which is used to calculate the brightness compensation coefficient of each sub-pixel based on the brightness extraction values ​​of all sub-pixels, generate a panel brightness compensation matrix, and write the compensation data into the driving storage unit of the Micro-LED micro-display panel.

[0016] Due to the application of the above technical solution, the beneficial effects of this application compared with the prior art are as follows: 1. Higher accuracy in brightness extraction: This invention performs brightness statistics based on the actual light-emitting connected domain of the sub-pixel, abandoning the traditional spatial position weighting mechanism. This avoids the dilution of high-brightness pixels in the bright area of ​​Micro-LED sub-pixels by position weights, and the extracted brightness data is more consistent with the actual light-emitting state of the sub-pixel, making the brightness difference between pixels more realistic.

[0017] 2. Higher tolerance for point finding errors: This invention does not rely on precise sub-pixel center coordinates, but only uses the point finding position as a reference to locate the connected region. Small deviations in the point finding position will not affect the complete recognition of the connected region and the brightness statistics results, which greatly reduces the requirements for the accuracy of the point finding algorithm and is suitable for the actual working conditions of mass production equipment.

[0018] 3. Strong adaptability: This invention is designed for the irregular brightness distribution of Micro-LED sub-pixels, and can be adapted to Micro-LED micro-display panels with different processes and pixel densities. It has strong versatility and can be directly integrated into the host computer processing system of existing De-Mura devices. Attached Figure Description

[0019] To more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the specific embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are some embodiments of the present invention. For those skilled in the art, other drawings can be obtained from these drawings without creative effort.

[0020] Figure 1 This is a flowchart of a method for extracting sub-pixel brightness in a Micro-LED micro-display panel according to the present invention; Figure 2 A schematic diagram of the brightness distribution of OLED sub-pixels; Figure 3 This is a schematic diagram of the brightness distribution imaging of Micro-LED sub-pixels; Figure 4 A schematic diagram illustrating the principle of the number of pixels in a connected component; Figure 5 This is a schematic diagram illustrating the principle of the pixel mapping coefficients between the camera and the panel. Figure 6 Raw data obtained from images taken with an industrial camera for Micro-LED panels; Figure 7 This is a schematic diagram comparing the brightness data extracted by the traditional algorithm and the algorithm of this invention; Figure 8 This is a schematic diagram comparing the De-Mura compensation effects of the traditional algorithm and the algorithm of this invention; Figure 9 This is a structural block diagram of a sub-pixel brightness extraction system for a Micro-LED micro-display panel according to the present invention; The module includes: 1. Image acquisition module; 2. Connected component localization module; 3. Pixel statistics module; 4. Effective pixel determination module; 5. Brightness calculation module; and 6. De-Mura compensation module. Detailed Implementation

[0021] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0022] It should be noted 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 for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0023] In this application, the terms "upper," "lower," "left," "right," "front," "rear," "top," "bottom," "inner," "outer," "middle," "vertical," "horizontal," "lateral," and "longitudinal" indicate the orientation or positional relationship based on the orientation or positional relationship shown in the accompanying drawings. These terms are primarily for the purpose of better describing the invention and its embodiments, and are not intended to limit the indicated device, element, or component to having a specific orientation, or to be constructed and operated in a specific orientation.

[0024] Furthermore, in addition to indicating direction or positional relationship, some of the aforementioned terms may also have other meanings. For example, the term "above" may also be used in certain situations to indicate a dependency or connection. Those skilled in the art can understand the specific meaning of these terms in this invention based on the specific circumstances.

[0025] Furthermore, the terms "installation," "setup," "equipped with," "connection," "linking," and "socketing" should be interpreted broadly. For example, they can refer to a fixed connection, a detachable connection, or an integral structure; they can refer to a mechanical connection or an electrical connection; they can refer to a direct connection or an indirect connection through an intermediate medium, or an internal connection between two devices, components, or parts. Those skilled in the art can understand the specific meaning of these terms in this invention based on the specific circumstances.

[0026] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0027] Example 1 Please see Figure 1 , Figures 4-8 This embodiment discloses a method for extracting the brightness of sub-pixels in a Micro-LED micro-display panel. It is applied to the De-Mura mass production testing equipment for Micro-LED micro-display panels to accurately extract the actual brightness value of each sub-pixel, providing a data basis for subsequent brightness compensation.

[0028] The method flow of this embodiment is as follows: Figure 1 As shown, the specific steps include the following: S0, Image Preprocessing: The original illuminated image of a Micro-LED microdisplay panel displaying a fixed grayscale image was captured using a high-precision industrial camera. The acquired original panel image data is as follows: Figure 6 As shown, the preprocessing operations are performed on the original image in sequence: Background subtraction: capture dark field images when the panel is off, subtract the illuminated image from the dark field image to eliminate interference from ambient light and camera dark current; Noise suppression: Gaussian filtering is used to smooth the image and suppress random noise introduced during the shooting process; Geometric distortion correction: Based on pre-calibrated lens distortion parameters, the image is distorted to eliminate pixel position deviations caused by lens optical distortion.

[0029] S1, Sub-pixel emission connected region localization: Based on the preset sub-pixel location, the luminous connected component corresponding to each sub-pixel is located. The specific process is as follows: According to the panel pixel arrangement rules, the initial point coordinates of each sub-pixel are obtained. The point coordinates can be obtained through conventional point finding algorithms such as traditional chessboard grid calibration and dot matrix positioning. Using the coordinates of each sub-pixel as the center, a square neighborhood with a side length of twice the pixel mapping coefficient is defined to ensure that the complete luminous area of ​​the sub-pixel falls within this neighborhood. Adaptive local threshold segmentation is performed within the neighborhood range. The mean and standard deviation of pixel brightness within the neighborhood are calculated. The segmentation threshold is set to "mean + 0.5 times standard deviation". Pixels with brightness higher than the threshold are marked as foreground luminous pixels. Perform connected component analysis on the foreground luminescent pixels (using the 8-neighborhood connectivity rule) and extract the connected component with the largest area as the luminescent connected component corresponding to that sub-pixel.

[0030] A connected region refers to the entire region in an image composed of interconnected foreground pixels, corresponding to the actual luminous range of a sub-pixel. The principle is as follows: Figure 4 As shown in the figure, three sets of connected components with different numbers of pixels are illustrated: the left connected component has 3 pixels, the middle one has 1 pixel, and the right one has 4 pixels.

[0031] S2, connected component pixel and brightness statistics: For each sub-pixel's luminous connected region, two data points are collected: first, the total number of camera pixels N_total contained in the connected region; and second, the grayscale brightness value corresponding to each camera pixel within the connected region, which is stored as a set of brightness values.

[0032] S3, the effective number of pixels is determined: By combining the pre-acquired pixel mapping coefficients between the camera and the panel, the number of valid camera pixels N_valid included in the brightness calculation is determined. The principle of the pixel mapping coefficients is as follows: Figure 5 As shown, this represents the correspondence between the number of imaging pixels in an industrial camera and the number of physical sub-pixels on the panel. The specific process is as follows: Pre-calibrated pixel mapping coefficient M: The pixel mapping coefficient M is the ratio of the linear size of the industrial camera imaging pixels to the physical sub-pixels of the panel in one direction, that is, the number of camera pixels corresponding to a single panel sub-pixel in one direction. For example, if the actual resolution of the panel is 480 rows × 640 columns (a total of 307,200 sub-pixels), and the effective pixels captured by the industrial camera are approximately 19,340,000, then the mapping coefficient M = √(19,340,000 / 307,200) ≈ 7.9, that is, each sub-pixel in one direction corresponds to approximately 7.9 camera pixels.

[0033] Calculate the theoretical number of camera pixels corresponding to a single sub-pixel: N_theory=M 2 That is, the theoretical number of camera pixels corresponding to the light-emitting area of ​​the sub-pixel.

[0034] Compare the actual total number of pixels N_total in the connected components with the theoretical number of pixels N_theory: If N_total≤N_theory, it means that the number of pixels in the connected components is less than the theoretical value, so N_valid=N_total; If N_total > N_theory, it means that the connected component contains redundant pixels, so set N_valid = N_theory.

[0035] This method ensures that the number of effective pixels matches the actual imaging size of the subpixels, while avoiding interference from the background or adjacent pixels.

[0036] S4, weighted average calculation of sub-pixel brightness: N_valid valid camera pixels are selected from the luminous connected region, and a weighted average is calculated to obtain the luminance extraction value of the sub-pixel:

[0037] Pixel filtering: Sort all camera pixels within the connected component according to their brightness values ​​from highest to lowest, and select the top N_valid pixels as valid calculation pixels. This filtering method prioritizes retaining high-brightness valid emitting pixels and further eliminates interference from low-brightness transition areas at the edges.

[0038] Brightness calculation: Perform an equal-weighted arithmetic mean calculation on the selected N_valid valid pixels, using the following formula:

[0039] Where L is the sub-pixel brightness extraction value, l i Let be the brightness value of the i-th valid camera pixel.

[0040] This calculation process does not introduce any spatial position weights of pixels, thus avoiding the dilution of high-brightness pixels due to deviation from the center of the search point, and ensuring that the brightness value is closer to the actual luminous intensity of the sub-pixel.

[0041] Effect verification: To verify the effectiveness of the algorithm of this invention, the same Micro-LED panel was used to extract brightness using both the traditional bilinear interpolation algorithm and the algorithm of this invention, and De-Mura compensation was performed.

[0042] The brightness data extracted by the two algorithms are as follows: Figure 7 As shown, the left side represents the extraction result of the traditional algorithm, and the right side represents the extraction result of the algorithm of the present invention: the difference between pixels in the brightness data extracted by the traditional algorithm is smoothed and the difference is small; the difference between pixels in the brightness data extracted by the algorithm of the present invention is more significant and more closely matches the actual brightness distribution of the panel.

[0043] Comparison of De-Mura compensation effects of the two algorithms, for example Figure 8 As shown, the left side shows the compensation effect of the traditional algorithm, and the right side shows the compensation effect of the algorithm of the present invention: the panel after compensation by the traditional algorithm still has local uneven brightness; the panel brightness uniformity is significantly improved after compensation by the algorithm of the present invention, and the Mura defect is eliminated more thoroughly.

[0044] Example 2 See Figure 9 This embodiment provides a sub-pixel brightness extraction system for Micro-LED micro-display panels, used to perform the steps of the above method embodiments. The system includes: Image acquisition module 1: Connects to a high-precision industrial camera and a panel signal generator, displays a specified grayscale image on the control panel, and acquires the corresponding illuminated image; Connected Component Localization Module 2: Stores the coordinates of sub-pixels, performs threshold segmentation and connected component analysis, and locates the luminous connected component of each sub-pixel; Pixel statistics module 3: Traverse each connected component and count the total number of pixels and the brightness value of each pixel; Effective pixel determination module 4: Stores pre-calibrated pixel mapping coefficients, calculates and outputs the number of effective calculated pixels for each sub-pixel; Brightness calculation module 5: Performs pixel filtering and weighted average calculation, and outputs the brightness extraction value of each sub-pixel; De-Mura Compensation Module 6: Calculates the compensation coefficient of each sub-pixel based on the brightness extraction value of all sub-pixels, generates a compensation matrix, and burns the compensation data into the Flash storage unit of the panel driver chip.

[0045] Example 3 This embodiment is a quantitative verification embodiment of the point-finding error tolerance, used to clearly verify the tolerance of this method to sub-pixel point-finding position deviation, as well as the extraction accuracy under different gray levels.

[0046] A 0.39-inch Micro-LED micro-display panel with a resolution of 640×480 was selected. The pixel mapping coefficient M of the industrial camera was approximately 7.9. Using a standard point-finding position without deviation as a benchmark, point-finding position deviations of ±0.5 pixels, ±1.0 pixels, ±1.5 pixels, and ±2.0 pixels were introduced respectively. Brightness extraction was performed using both the traditional bilinear interpolation algorithm and the method of this invention. The relative brightness error was calculated based on the extracted value without deviation. The test results are as follows: ±0.5 3.2% 0.8% ±1.0 7.5% 1.2% ±1.5 12.1% 1.7% ±2.0 16.8% 2.1%

[0047] The test results show that as the deviation of the point location increases, the brightness extraction error of the traditional algorithm rises rapidly. When the deviation reaches 2 pixels, the error exceeds 16%, which cannot meet the accuracy requirements for mass production compensation. In contrast, the brightness extraction error of the method of this invention increases slowly and can still be controlled within 2.5% with a deviation of 2 pixels. The tolerance for point finding error is significantly improved, which can greatly reduce the accuracy requirements of the point finding algorithm for mass production equipment and reduce the hardware cost of the equipment.

[0048] Meanwhile, this embodiment performs full grayscale accuracy verification at three typical grayscale levels: 32 grayscale, 128 grayscale, and 255 grayscale. The brightness extraction error of the method of this invention is controlled within 2%, which can adapt to the De-Mura compensation requirements of the full grayscale range and meet the correction requirements of different display scenarios.

[0049] Finally, it should be noted that the above are merely preferred embodiments of the present invention and are not intended to limit the present invention. Although the present invention has been described in detail with reference to the foregoing embodiments, those skilled in the art can still modify the technical solutions described in the foregoing embodiments or make equivalent substitutions for some of the technical features. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A method for extracting sub-pixel brightness in a Micro-LED micro-display panel, characterized in that, Includes the following steps: S1, acquire the illuminated image of the Micro-LED micro-display panel captured by the industrial camera, locate the light-emitting connected region corresponding to each sub-pixel based on the preset sub-pixel point position; S2, count the total number of camera pixels in the light-emitting connected region corresponding to each sub-pixel, and the brightness value corresponding to each camera pixel; S3. Based on the total number of camera pixels in the light-emitting connected domain and combined with the pre-acquired pixel mapping coefficients between the camera and the panel, determine the effective number of camera pixels included in the brightness calculation for each sub-pixel. S4. Select a corresponding number of effective camera pixels from the light-emitting connected domain, perform a weighted average calculation to obtain the brightness extraction value of the sub-pixel, and the calculation process does not introduce the spatial position weight of the camera pixels.

2. The method for extracting sub-pixel brightness of a Micro-LED micro-display panel according to claim 1, characterized in that, In step S1, the luminous connected component corresponding to the located sub-pixel specifically includes: A preset neighborhood range is defined with the sub-pixel's location as the center. Threshold segmentation is performed within the neighborhood range to extract pixel regions with brightness values ​​higher than the preset segmentation threshold. These pixel regions are then identified as the light-emitting connected regions corresponding to the sub-pixel.

3. The method for extracting sub-pixel brightness of a Micro-LED micro-display panel according to claim 2, characterized in that, The threshold segmentation adopts an adaptive local threshold segmentation method, and the segmentation threshold is dynamically adjusted according to the background brightness value within the corresponding neighborhood range.

4. The method for extracting sub-pixel brightness of a Micro-LED micro-display panel according to claim 1, characterized in that, In step S3, the pixel mapping coefficient between the camera and the panel is the ratio of the unidirectional linear size of the imaging pixels of the industrial camera to the physical sub-pixels of the panel, that is, the number of camera pixels corresponding to a single panel sub-pixel in a unidirectional direction.

5. The method for extracting sub-pixel brightness of a Micro-LED micro-display panel according to claim 4, characterized in that, In step S3, determining the effective number of camera pixels specifically involves: Calculate the square of the pixel mapping coefficient to obtain the theoretical number of camera pixels corresponding to a single sub-pixel; compare the total number of actual camera pixels in the luminous connected region with the theoretical number of camera pixels, and take the smaller of the two as the effective number of camera pixels included in the brightness calculation.

6. The method for extracting sub-pixel brightness of a Micro-LED micro-display panel according to claim 1, characterized in that, In step S4, the method for selecting effective camera pixels is as follows: Sort all camera pixels within the luminous connected region according to their brightness values ​​from high to low, and select the pixels that are at the top of the sort and whose number matches the number of effective camera pixels as the effective pixels to participate in the brightness calculation.

7. The method for extracting sub-pixel brightness of a Micro-LED micro-display panel according to claim 1, characterized in that, In step S4, the weighted average calculation is an equal-weighted arithmetic average calculation, where the weight values ​​of all valid camera pixels are equal.

8. The method for extracting sub-pixel brightness of a Micro-LED micro-display panel according to claim 1, characterized in that, Before step S1, there is also an image preprocessing step: background subtraction, Gaussian noise suppression and lens geometric distortion correction are performed sequentially on the original illuminated image acquired by the industrial camera.

9. A sub-pixel brightness extraction system for Micro-LED micro-display panels, characterized in that, include: The image acquisition module is used to acquire illuminated grayscale images of the Micro-LED microdisplay panel using a high-precision industrial camera; The connected component localization module is used to locate the luminous connected component corresponding to each sub-pixel in the illuminated image based on the preset sub-pixel point positions. The pixel statistics module is used to count the total number of camera pixels in the light-emitting connected domain corresponding to each sub-pixel, as well as the brightness value corresponding to each camera pixel. The effective pixel determination module is used to determine the number of effective camera pixels included in the brightness calculation for each sub-pixel based on the total number of camera pixels in the light-emitting connected domain and the pre-acquired pixel mapping coefficient between the camera and the panel. The brightness calculation module is used to select a corresponding number of effective camera pixels from the light-emitting connected domain, perform a weighted average calculation, and obtain the brightness extraction value of the sub-pixel. The calculation process does not introduce the spatial position weight of the camera pixels.

10. The sub-pixel brightness extraction system for Micro-LED micro-display panels according to claim 9, characterized in that, It also includes a De-Mura compensation module, which is used to calculate the brightness compensation coefficient of each sub-pixel based on the brightness extraction value of all sub-pixels, generate the panel brightness compensation matrix, and write the compensation data into the driving storage unit of the Micro-LED micro-display panel.

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