Display screen chromaticity uniformity evaluation method, device, equipment, medium and product

Abstract

The invention relates to the technical field of display screen detection, and discloses a display screen chromaticity uniformity evaluation method, device and equipment, a medium and a product, and the method comprises the steps: obtaining the chromaticity data of each LED chip, the multiple pieces of chromaticity data comprising first sub-chromaticity data, second sub-chromaticity data and third sub-chromaticity data; determining reference chromaticity data from the plurality of chromaticity data, the reference chromaticity data being chromaticity data capable of enabling the chromaticity data covered by a reference circle to be maximum when the reference chromaticity data is used as a circle center, and the radius of the reference circle being determined according to the chromaticity difference indistinguishable by human eyes, the reference chrominance data comprises first sub-reference chrominance data, second sub-reference chrominance data and third sub-reference chrominance data; and evaluating the chromaticity uniformity of the display screen according to the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-chromaticity data, the second sub-reference chromaticity data, the third sub-chromaticity data and the third sub-reference chromaticity data. According to the invention, the chromaticity uniformity of the display screen can be evaluated more comprehensively and accurately.

Description

Technical Field

[0001] The present invention relates to the technical field of display screen detection, and in particular to a method, device, equipment, medium and product for evaluating the chromaticity uniformity of a display screen. Background Art

[0002] Light-emitting diode (LED) displays display images, videos, text, and other information by controlling the brightness and color of the red, green, and blue (RGB) primary colors produced by LED chips. Color uniformity testing of LED displays is crucial for ensuring display quality and enhancing user experience.

[0003] Currently, the evaluation methods for display screen color uniformity include the nine-point measurement method, the thirteen-point measurement method, and the twenty-five-point measurement method. All of these methods select multiple LED chips on the display screen as reference points (such as 9, 13, or 25) to detect color data, then calculate the distance between any two of the multiple reference points to determine the color deviation, and evaluate the color uniformity of the display screen based on the maximum color deviation obtained.

[0004] However, when the quality of the LED chip used as the reference point is significantly different from that of the LED chip of the entire display screen, the above evaluation method will result in a large deviation in the calculated maximum chromaticity deviation, and the evaluation result will be less accurate. Summary of the Invention

[0005] In view of this, the present invention provides a method, device, equipment, medium and product for evaluating the chromaticity uniformity of a display screen to solve the problem of low accuracy of evaluation results.

[0006] In a first aspect, the present invention provides a method for evaluating the chromaticity uniformity of a display screen, wherein the display screen includes multiple LED chips, and the method includes: obtaining chromaticity data of each LED chip, wherein the multiple chromaticity data include first sub-chromaticity data corresponding to each red light chip in the multiple LED chips, second sub-chromaticity data corresponding to each green light chip in the multiple LED chips, and third sub-chromaticity data corresponding to each blue light chip in the multiple LED chips; determining reference chromaticity data from the multiple chromaticity data, wherein the reference chromaticity data is chromaticity data that can cover the most chromaticity data when the reference chromaticity data is the center of the circle, the radius of the reference circle is determined based on chromaticity differences that are indistinguishable to the human eye, and the reference chromaticity data include first sub-reference chromaticity data corresponding to the red light chip, second sub-reference chromaticity data corresponding to the green light chip, and third sub-reference chromaticity data corresponding to the blue light chip; and evaluating the chromaticity uniformity of the display screen based on the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-reference chromaticity data, the second sub-reference chromaticity data, the third sub-reference chromaticity data, and the third sub-reference chromaticity data.

[0007] This embodiment utilizes the chromaticity data of all LED chips for evaluation, encompassing every LED chip on the display. This allows for a more accurate and comprehensive reflection of the chromaticity distribution of the entire display, providing valuable guidance for display production and testing, as well as for display aging experiments. Furthermore, determining chromaticity deviation based on reference chromaticity coordinates eliminates the impact of the display's inherent chromaticity bias on chromaticity uniformity, further improving the accuracy of chromaticity uniformity evaluation. Reference chromaticity data is selected based on a reference circle defined by indistinguishable chromaticity differences to the human eye. This allows the evaluation process to fully account for the human eye's sensitivity to color differences, ensuring that the evaluation results are more consistent with the actual display effect observed by the human eye and more in line with the user's intuitive perception of the display's chromaticity uniformity.

[0008] In an optional embodiment, the radius of the reference circle is less than or equal to 0.01.

[0009] In an optional embodiment, determining reference chromaticity data from a plurality of chromaticity data includes: determining the reference chromaticity data from a plurality of chromaticity data through a machine learning model.

[0010] In an optional embodiment, the machine learning model is a KD-Tree algorithm.

[0011] In this embodiment, the reference chromaticity data is determined from the chromaticity data using the KD-Tree algorithm, so that the reference chromaticity data can be determined without traversing each chromaticity data, thereby reducing the amount of calculation.

[0012] In an optional embodiment, evaluating the chromaticity uniformity of the display screen based on the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-chromaticity data, the second sub-reference chromaticity data, the third sub-chromaticity data, and the third sub-reference chromaticity data includes: determining a first indicator based on the first sub-chromaticity data and the first sub-reference chromaticity data, wherein the first indicator includes a cumulative value of the distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data, and / or the first indicator includes an average value of the distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data; determining a second indicator based on the second sub-chromaticity data and the second sub-reference chromaticity data. Indicators, wherein the second indicator includes a cumulative value of the distance between the second sub-reference chromaticity data and each second sub-chromaticity data, and / or the second indicator includes an average value of the distance between the second sub-reference chromaticity data and each second sub-chromaticity data; a third indicator is determined based on the third sub-chromaticity data and the third sub-reference chromaticity data, wherein the third indicator includes a cumulative value of the distance between the third sub-reference chromaticity data and each third sub-chromaticity data, and / or the third indicator includes an average value of the distance between the third sub-reference chromaticity data and each third sub-chromaticity data; and the chromaticity uniformity of the display screen is evaluated based on the first indicator, the second indicator, and the third indicator.

[0013] In an optional embodiment, after determining the reference chromaticity data from multiple chromaticity data, the method further includes: drawing multiple concentric circles with different radii with the first sub-reference chromaticity data, the second sub-reference chromaticity data and the third sub-reference chromaticity data as the center, respectively, wherein the minimum value of the radii of the multiple concentric circles is greater than the radius of the reference circle.

[0014] In a second aspect, the present invention provides a device for evaluating the chromaticity uniformity of a display screen. The display screen includes multiple LED chips, and the device includes: an acquisition module for acquiring chromaticity data of each LED chip, wherein the multiple chromaticity data include first sub-chromaticity data corresponding to each red light chip in the multiple LED chips, second sub-chromaticity data corresponding to each green light chip in the multiple LED chips, and third sub-chromaticity data corresponding to each blue light chip in the multiple LED chips; a determination module for determining reference chromaticity data from the multiple chromaticity data, wherein the reference chromaticity data is chromaticity data that can cover the most chromaticity data when the reference chromaticity data is the center of the circle, and the radius of the reference circle is determined based on chromaticity differences that are indistinguishable to the human eye, and the reference chromaticity data include first sub-reference chromaticity data corresponding to the red light chip, second sub-reference chromaticity data corresponding to the green light chip, and third sub-reference chromaticity data corresponding to the blue light chip; and an evaluation module for evaluating the chromaticity uniformity of the display screen based on the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-reference chromaticity data, the second sub-reference chromaticity data, the third sub-reference chromaticity data, and the third sub-reference chromaticity data.

[0015] In an optional embodiment, the radius of the reference circle is less than or equal to 0.01.

[0016] In an optional embodiment, the determination module includes: a first determination unit, configured to determine reference chromaticity data from a plurality of chromaticity data through a machine learning model.

[0017] In an optional embodiment, the machine learning model is a KD-Tree algorithm.

[0018] In an optional embodiment, the evaluation module includes: a second determining unit, configured to determine a first indicator based on the first sub-chromaticity data and the first sub-reference chromaticity data, wherein the first indicator includes a cumulative value of distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data, and / or the first indicator includes an average value of distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data; a third determining unit, configured to determine a second indicator based on the second sub-chromaticity data and the second sub-reference chromaticity data, wherein the second indicator includes a cumulative value of distances between the second sub-reference chromaticity data and each of the second sub-chromaticity data, and / or the second indicator includes an average value of distances between the second sub-reference chromaticity data and each of the second sub-chromaticity data; a fourth determining unit, configured to determine a third indicator based on the third sub-chromaticity data and the third sub-reference chromaticity data, wherein the third indicator includes a cumulative value of distances between the third sub-reference chromaticity data and each of the third sub-chromaticity data, and / or the third indicator includes an average value of distances between the third sub-reference chromaticity data and each of the third sub-chromaticity data; and an evaluation unit, configured to evaluate the chromatic uniformity of the display screen based on the first indicator, the second indicator, and the third indicator.

[0019] In an optional embodiment, the device also includes: a drawing module, used to draw multiple concentric circles with different radii with the first sub-reference chromaticity data, the second sub-reference chromaticity data and the third sub-reference chromaticity data as the center, wherein the minimum value of the radii of the multiple concentric circles is greater than the radius of the reference circle.

[0020] In a third aspect, the present invention provides a computer device comprising: a memory and a processor, the memory and the processor being communicatively connected to each other, the memory storing computer instructions, and the processor executing the computer instructions to perform the method for evaluating the color uniformity of a display screen according to the first aspect or any corresponding embodiment thereof.

[0021] In a fourth aspect, the present invention provides a computer-readable storage medium having computer instructions stored thereon, the computer instructions being used to enable a computer to execute the method for evaluating the chromaticity uniformity of a display screen according to the first aspect or any corresponding embodiment thereof.

[0022] In a fifth aspect, the present invention provides a computer program product comprising computer instructions, wherein the computer instructions are used to enable a computer to execute the method for evaluating the chromaticity uniformity of a display screen according to the first aspect or any corresponding embodiment thereof. BRIEF DESCRIPTION OF THE DRAWINGS

[0023] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in related technologies, the following briefly introduces the drawings required for use in the specific embodiments or related technical descriptions. Obviously, the drawings described below are some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

[0024] Figure 1 This is a schematic diagram of the distribution of 9 measurement reference points when measuring the color uniformity of the display screen using the nine-point method;

[0025] Figure 2 This is a schematic diagram of the distribution of 13 reference points when measuring the color uniformity of a display screen using the 13-point method;

[0026] Figure 3 This is a schematic diagram of the distribution of 25 reference points when measuring the color uniformity of a display screen using the 25-point method.

[0027] Figure 4 1 is a flow chart of a method for evaluating the chromaticity uniformity of a display screen according to an embodiment of the present invention;

[0028] Figure 5 3. This is a schematic diagram of the chromaticity data distribution of the red chip in the initial state of display screen No. 1 according to an embodiment of the present invention;

[0029] Figure 6 3. This is a schematic diagram of chromaticity data distribution of the green chip in the initial state of display screen No. 1 according to an embodiment of the present invention;

[0030] Figure 7 3. This is a schematic diagram of chromaticity data distribution of the blue chip in the initial state of display screen No. 1 according to an embodiment of the present invention;

[0031] Figure 8 1 is a schematic diagram of the chromaticity data distribution of the red chip in display screen No. 1 after 432 hours of use according to an embodiment of the present invention;

[0032] Figure 9 1 is a schematic diagram of the chromaticity data distribution of the green chip in display screen No. 1 after 432 hours of use according to an embodiment of the present invention;

[0033] Figure 10 1 is a schematic diagram of the chromaticity data distribution of the blue chip in display screen No. 1 after 432 hours of use according to an embodiment of the present invention;

[0034] Figure 11 1 is a schematic diagram of the chromaticity data distribution of the red chip in display screen No. 1 after 936 hours of use according to an embodiment of the present invention;

[0035] Figure 12 1 is a schematic diagram of the chromaticity data distribution of the green chip in display screen No. 1 after 936 hours of use according to an embodiment of the present invention;

[0036] Figure 13 1 is a schematic diagram of the chromaticity data distribution of the blue chip in display screen No. 1 after 936 hours of use according to an embodiment of the present invention;

[0037] Figure 14 is a schematic diagram of the chromaticity data distribution of the red chip in the initial state of display screen No. 2 according to an embodiment of the present invention;

[0038] Figure 15 is a schematic diagram of the chromaticity data distribution of the green chip in the No. 2 display screen in the initial state according to an embodiment of the present invention;

[0039] Figure 16 is a schematic diagram of the chromaticity data distribution of the blue chip in the No. 2 display screen in the initial state according to an embodiment of the present invention;

[0040] Figure 17 is a schematic diagram of the chromaticity data distribution of the red chip in the initial state of display screen No. 3 according to an embodiment of the present invention;

[0041] Figure 18 is a schematic diagram of the chromaticity data distribution of the green chip in the display screen No. 3 in the initial state according to an embodiment of the present invention;

[0042] Figure 19 is a schematic diagram of the chromaticity data distribution of the blue chip in the initial state of display screen No. 3 according to an embodiment of the present invention;

[0043] Figure 20 1 is a schematic diagram of the reference point center and chromaticity data distribution of the red chip in the initial state of display screen No. 1 according to an embodiment of the present invention;

[0044] Figure 21 1 is a schematic diagram of the reference point center and chromaticity data distribution of the green chip in the initial state of display screen No. 1 according to an embodiment of the present invention;

[0045] Figure 22 1 is a schematic diagram of the reference point center and chromaticity data distribution of the blue chip in the initial state of display screen No. 1 according to an embodiment of the present invention;

[0046] Figure 23 Schematic diagram of the reference point center and chromaticity data distribution of the red chip in display screen No. 1 after 432 hours of use according to an embodiment of the present invention;

[0047] Figure 24Schematic diagram of the reference point center and chromaticity data distribution of the green chip in display screen No. 1 after 432 hours of use according to an embodiment of the present invention;

[0048] Figure 25 Schematic diagram of the reference point center and chromaticity data distribution of the blue chip in display screen No. 1 after 432 hours of use according to an embodiment of the present invention;

[0049] Figure 26 Schematic diagram of the reference point center and chromaticity data distribution of the red chip in display screen No. 1 after 936 hours of use according to an embodiment of the present invention;

[0050] Figure 27 Schematic diagram of the reference point center and chromaticity data distribution of the green chip in display screen No. 1 after 936 hours of use according to an embodiment of the present invention;

[0051] Figure 28 Schematic diagram of the reference point center and chromaticity data distribution of the blue chip in display screen No. 1 after 936 hours of use according to an embodiment of the present invention;

[0052] Figure 29 2 is a schematic diagram of the reference point center and chromaticity data distribution of the red chip in the initial state of display screen No. 2 according to an embodiment of the present invention;

[0053] Figure 30 2 is a schematic diagram of the reference point center and chromaticity data distribution of the green chip in the initial state of display screen No. 2 according to an embodiment of the present invention;

[0054] Figure 31 2 is a schematic diagram of the reference point center and chromaticity data distribution of the blue chip in the initial state of display screen No. 2 according to an embodiment of the present invention;

[0055] Figure 32 3 is a schematic diagram of the reference point center and chromaticity data distribution of the red chip in the initial state of display screen No. 3 according to an embodiment of the present invention;

[0056] Figure 33 3 is a schematic diagram of the reference point center and chromaticity data distribution of the green chip in the initial state of display screen No. 3 according to an embodiment of the present invention;

[0057] Figure 34 3 is a schematic diagram of the reference point center and chromaticity data distribution of the blue chip in the initial state of display screen No. 3 according to an embodiment of the present invention;

[0058] Figure 35 is a flow chart of another method for evaluating the chromaticity uniformity of a display screen according to an embodiment of the present invention;

[0059] Figure 36 is a structural block diagram of a device for evaluating the chromaticity uniformity of a display screen according to an embodiment of the present invention;

[0060] Figure 37 Schematic diagram of the hardware structure of a computer device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0061] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are part of the embodiments of the present invention, not all of the embodiments. According to the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making creative efforts are within the scope of protection of the present invention.

[0062] During the manufacturing and testing of LED displays, a key step is the testing and evaluation of the color uniformity of the LED display. This is because if the color of the LED display is uneven, color cast and other phenomena may occur, affecting the overall aesthetics and readability of the image, making it difficult to provide high-quality visual content.

[0063] As mentioned in the background art, currently, the evaluation methods for the color uniformity of display screens include a nine-point measurement method, a thirteen-point measurement method, and a twenty-five-point measurement method.

[0064] The evaluation process of the nine-point measurement method can be specifically as follows: According to the ISO 9241-307 standard, the LED chip at the center point P0 of the display screen and the LED chips at eight points (P1 to P8) around the center point P0 are selected as measurement reference points. The distribution positions of the nine measurement reference points can be as follows: Figure 1 Then, a colorimeter is used to measure and record the chromaticity data (u′, v′) point by point. The distance Δu′v′ between each point is calculated using the following formula (1). The maximum value of Δu′v′ is determined as the maximum chromaticity deviation. Finally, the chromaticity uniformity of the display is evaluated based on the maximum chromaticity deviation.

[0065]

[0066] In formula (1), Δu′v′ represents (u i , v i ) and (u C , v C ), (u i , v i ) represents the chromaticity data of the i-th measurement reference point, i = 0, 1, 2, ..., 8 in the nine-point measurement method; (u C , v C) represents the chromaticity data of the measurement reference points other than the i-th measurement reference point.

[0067] It should be understood that u and v represent coordinate parameters in the CIE 1976 chromaticity coordinate system, which are used to quantitatively describe the chromaticity information of a color. The distance between two chromaticity data represents the chromaticity difference (or chromaticity deviation).

[0068] The evaluation process of the 13-point measurement method is similar to that of the nine-point measurement method. However, the 13-point measurement method is based on the IEC 61966-4 standard. On the basis of the nine-point measurement method, four additional corner points (P9 to P12) of the LED chip are added as measurement reference points. The distribution positions of the 13 measurement reference points can be as follows: Figure 2 In the thirteen-point measurement method, i in the above formula (1) is 0, 1, 2, ..., 12.

[0069] The evaluation process of the 25-point measurement method is similar to that of the 9-point measurement method, except that the number and location of the measurement reference points are different. In the 25-point measurement method, according to the VESA FPDM 2.0 standard, the LED display is divided into 5×5 areas, and the LED chip at the midpoint of each area is used as the measurement reference point. The distribution of the 25 measurement reference points (P1 to P25) can be as follows: Figure 3 In the twenty-five point measurement method, i in the above formula (1) is 1, 2, ..., 25.

[0070] The above-mentioned method for evaluating the color uniformity of a display screen only selects a small number of LED chips as reference points for measuring color data under the test standard. If the quality of the LED chips at the reference points differs significantly from that of the entire display screen, the calculated maximum color deviation may result in a large deviation, thus failing to comprehensively evaluate the color uniformity of the display screen.

[0071] In addition, when the LED chips are smaller Mini-LED chips or Micro-LED chips, the above-mentioned display screen color uniformity evaluation method has a much smaller number of chips than the number of chips in the display screen, which further reduces the credibility of the result of calculating the maximum color deviation and makes it impossible to comprehensively evaluate the color uniformity of the display screen.

[0072] In view of this, the present invention provides a method, device, equipment, medium and product for evaluating the chromaticity uniformity of a display screen, which obtains the chromaticity data of all LED chips on the display screen and then evaluates the chromaticity uniformity of the display screen based on the chromaticity deviation between all the chromaticity data and the reference chromaticity data determined by the reference circle. This can more comprehensively and accurately evaluate the chromaticity uniformity of the display screen.

[0073] The display screen in the present invention can be a display screen composed of LED chips of various sizes, such as Mini-LED, Micro-LED, etc.

[0074] The following is a detailed description of the method for evaluating the color uniformity of a display screen provided by the present invention, with reference to the accompanying drawings. It should be noted that the steps shown in the flowcharts of the accompanying drawings can be executed in a computer device, such as a set of computer-executable instructions. Furthermore, although a logical order is shown in the flowcharts, in some cases, the steps shown or described may be executed in a different order than herein.

[0075] In this embodiment, a method for evaluating the chromaticity uniformity of a display screen is provided, which can be used in an evaluation device for the chromaticity uniformity of a display screen, such as a computer device. Figure 4 FIG. 1 is a flow chart of a method for evaluating the chromaticity uniformity of a display screen according to an embodiment of the present invention. Figure 4 As shown, the method includes the following steps:

[0076] Step S401: Acquire chromaticity data of each LED chip.

[0077] Specifically, a display screen consists of multiple LED chips, which together form pixels. The display screen displays different images by controlling the on / off, color, and brightness of each LED chip. Specifically, red, green, and blue (RGB) LED chips serve as the basic light-emitting units. Mixed in specific proportions, they can produce a variety of colors, which in turn combine to create vibrant images and videos.

[0078] The chromaticity data (u′, v′) may refer to the color representation of the LED chip in the CIE 1976 chromaticity coordinate system. The multiple chromaticity data include first sub-chromaticity data corresponding to each red LED chip in the multiple LED chips, second sub-chromaticity data corresponding to each green LED chip in the multiple LED chips, and third sub-chromaticity data corresponding to each blue LED chip in the multiple LED chips.

[0079] The CIE 1976 chromaticity coordinate system is similar to the xoy rectangular coordinate system, wherein the abscissa in the xoy rectangular coordinate system is similar to the chromaticity coordinate u′, and the ordinate in the xoy rectangular coordinate system is similar to the chromaticity coordinate v′.

[0080] For example, a display screen chromatic uniformity evaluation device can obtain the tristimulus values ​​(X, Y, Z) of the LED display screen's R, G, and B light conditions from a high-precision pixel-level brightness and chromaticity parameter measurement instrument (such as an imaging colorimeter). This can be used to obtain tristimulus data for three groups of LED chips (R, G, and B, respectively). The chromaticity data (u′, v′) corresponding to the LED chips can then be calculated using the following formula (2). This can be used to obtain the chromaticity data (first sub-chromaticity data, second sub-chromaticity data, and third sub-chromaticity data) for the three groups of LED chips (R, G, and B).

[0081] u′=4X / (X+15Y+3Z) (2)

[0083] v′=9Y / (X+15Y+3Z)

[0084] For example, the chromaticity data distribution of the three groups (R, G, B) of LED chips in display screen No. 1 in the initial state (ie, using 0h) can be as follows: Figure 5 、 Figure 6 and Figure 7 As shown in the figure, the chromaticity data distribution of the three groups of LED chips in the No. 1 display screen at different usage times can be seen as follows: Figures 8 to 13 As shown in the figure, the chromaticity data distribution of the three groups of LED chips in the No. 2 display screen in the initial state can be respectively as follows: Figure 14 、 Figure 15 and Figure 16 As shown in the figure; the chromaticity data distribution of the three groups of LED chips in the No. 3 display screen in the initial state can be respectively as follows Figure 17 、 Figure 18 and Figure 19 shown.

[0085] Optionally, the device for evaluating the chromaticity uniformity of a display screen may also convert the spectral power distribution of the LED chip (ie, light intensity information of different wavelengths) to obtain chromaticity data.

[0086] Step S402: determining reference chromaticity data from a plurality of chromaticity data.

[0087] The reference chromaticity data is the chromaticity data that can cover the most chromaticity data when the reference circle is the center of the circle, and the radius of the reference circle is determined based on the chromaticity difference that cannot be distinguished by the human eye.

[0088] Reference chromaticity data (u′ o ,v′ o) includes first sub-reference chromaticity data corresponding to the red light chip, second sub-reference chromaticity data corresponding to the green light chip, and third sub-reference chromaticity data corresponding to the blue light chip. Specifically, the first sub-reference chromaticity data is the first sub-reference chromaticity data that, when used as the center of the circle, covers the largest amount of first sub-reference chromaticity data; the second sub-reference chromaticity data is the second sub-reference chromaticity data that, when used as the center of the circle, covers the largest amount of second sub-reference chromaticity data; and the third sub-reference chromaticity data is the third sub-reference chromaticity data that, when used as the center of the circle, covers the largest amount of third sub-reference chromaticity data.

[0089] In other words, sub-reference chromaticity data is a unique point within the chromaticity data of all LED chips of the same color. When a circle (reference circle) is drawn with this unique point as the center O, the reference circle contains the largest amount of sub-chromaticity data. Sub-reference chromaticity data is the chromaticity benchmark for the corresponding color (red, green, or blue) on the display. It reflects the average chromaticity tendency of that color on the display and is associated with the reasonable deviation range of human perception, reflecting the color consistency standard acceptable to the human eye.

[0090] For example, ISO 9241-307 considers Δu′v′ ≤ 0.02 to meet the test criteria. This means that the chromaticity deviation is within 0.02, and the human eye cannot distinguish the chromaticity difference. In this case, the radius of the reference circle can be less than or equal to 0.01. It should be noted that Δu′v′ is used to measure the degree of chromaticity difference and is a dimensionless value, so 0.01 and 0.02 do not have a specific unit.

[0091] In one example, the reference chromaticity data of the LED chip in display screen No. 1 and the position distribution of the reference circle (circle 1) in the initial state can be respectively as follows: Figure 20 、 Figure 21 and Figure 22 As shown, the reference chromaticity data and the position distribution of the reference circle of the LED chip in the No. 1 display screen at different usage times can be shown as follows: Figures 23 to 28 As shown; the reference chromaticity data and the position distribution of the reference circle of the LED chip in the No. 2 display screen in the initial state can be respectively as follows Figure 29 、 Figure 30 and Figure 31 As shown; the reference chromaticity data and the position distribution of the reference circle of the LED chip in the No. 3 display screen in the initial state can be respectively as follows Figure 32 、 Figure 33 and Figure 34 For example, the reference chromaticity data of the LED chips (red light chip, green light chip and blue light chip) in each display screen can be shown in Table 1.

[0092] Table 1 Distribution of reference chromaticity data for each display screen

[0093]

[0094] In some embodiments, a brute force approach can be used to determine the first sub-reference chromaticity data from multiple first sub-chromaticity data sets. Specifically, all first sub-chromaticity data sets corresponding to the red chips in the display screen are traversed, and the number of first sub-chromaticity data sets that can be covered by drawing a reference circle using each first sub-chromaticity data set as the center is recorded. The first sub-chromaticity data set corresponding to the maximum value among these is determined as the first sub-reference chromaticity data. The process for determining the second sub-reference chromaticity data and the process for determining the third sub-reference chromaticity data are similar to the process for determining the first sub-reference chromaticity data and will not be further described here.

[0095] Step S403 : Evaluate the chromaticity uniformity of the display screen according to the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-chromaticity data, the second sub-reference chromaticity data, the third sub-chromaticity data, and the third sub-reference chromaticity data.

[0096] Specifically, after determining the reference chromaticity data, the display's chromaticity uniformity can be evaluated based on the first chromaticity deviation between each first sub-chromaticity data item and the first sub-reference chromaticity data item, the second chromaticity deviation between each second sub-chromaticity data item and the second sub-reference chromaticity data item, and the third chromaticity deviation between each third sub-chromaticity data item and the third sub-reference chromaticity data item. For example, if the maximum of the plurality of first chromaticity deviations, the maximum of the plurality of second chromaticity deviations, and the maximum of the plurality of third chromaticity deviations are all less than a preset deviation value, it can be determined that the display's chromatic uniformity is good and meets the required chromaticity uniformity.

[0097] The display screen color uniformity evaluation method provided in this embodiment obtains color data from each LED chip and then determines reference color data from the multiple color data. The display screen color uniformity is then evaluated based on the first sub-color data, the first sub-reference color data, the second sub-color data, the second sub-reference color data, the third sub-color data, and the third sub-reference color data. This embodiment utilizes the color data of all LED chips for evaluation, encompassing every LED chip on the display screen. This allows for a more accurate and comprehensive reflection of the color distribution of the entire display screen, providing valuable guidance for display screen production and testing, as well as for display screen aging testing. Furthermore, determining color deviation based on the reference color coordinates eliminates the impact of the display screen's inherent color deviation on color uniformity, further improving the accuracy of color uniformity evaluation. The reference color data is selected based on a reference circle defined by indistinguishable color differences to the human eye. This allows the evaluation process to fully account for the human eye's sensitivity to color differences, ensuring that the evaluation results are more consistent with the actual display effect observed by the human eye and more in line with the user's intuitive perception of the display screen's color uniformity.

[0098] This embodiment also provides another method for evaluating the chromaticity uniformity of a display screen, which can be used in an evaluation device for the chromaticity uniformity of a display screen. Figure 35 FIG. 1 is a flow chart of another method for evaluating the chromaticity uniformity of a display screen according to an embodiment of the present invention. Figure 35 As shown, the method includes the following steps:

[0099] Step S3501: Acquire the chromaticity data of each LED chip.

[0100] For details, please see Figure 4 Step S401 of the illustrated embodiment will not be described in detail here.

[0101] Step S3502: Determine reference chromaticity data from multiple chromaticity data through a machine learning model.

[0102] Specifically, the obtained multiple chromaticity data can be input into a machine learning model, and the center of the reference circle output by the machine learning model can be determined as the reference chromaticity data.

[0103] For example, the machine learning model can be a KD-Tree algorithm. A KD-Tree (K-Dimensional Tree) is a tree-like data structure used to efficiently organize and query K-dimensional spatial data. By recursively partitioning the K-dimensional space and storing high-dimensional data in a binary tree, the efficiency of nearest neighbor searches and range queries is significantly improved.

[0104] Compared with the brute force solution method, this embodiment uses the KD-Tree algorithm to determine the reference chromaticity coordinate data from multiple chromaticity coordinate data. When querying, there is no need to traverse all chromaticity data. Instead, irrelevant subtrees can be quickly pruned according to the partitioning rules to reduce the amount of calculation.

[0105] In step S3503 , a plurality of concentric circles with different radii are drawn with the first sub-reference chromaticity data, the second sub-reference chromaticity data, and the third sub-reference chromaticity data as the centers of the circles respectively.

[0106] The minimum value of the radii of the multiple concentric circles is greater than the radius of the reference circle.

[0107] Specifically, after determining the reference chromaticity data (ie, the first sub-reference chromaticity data, the second sub-reference chromaticity data, and the third sub-reference chromaticity data), the reference chromaticity data can be used as the optimal center to draw concentric circles (eg, Figures 20 to 34 The concentric rings further show the chromaticity data distribution of the R, G, and B color chips.

[0108] In one example, the radius of the reference circle is 0.01, and the number of concentric circles can be three. The radius of the first concentric circle (denoted as Circle 2) can be 0.02, the radius of the second concentric circle (denoted as Circle 3) can be 0.03, and the radius of the third concentric circle (denoted as Circle 4) can be 0.04. In this case, the distribution of the chromaticity data of the LED chips (red, green, and blue chips) in each display screen within the reference circle and concentric circles can be shown in Table 2.

[0109] Table 2 Chromaticity data distribution of each display

[0110]

[0111] Step S3504 : Evaluate the chromaticity uniformity of the display screen based on the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-chromaticity data, the second sub-reference chromaticity data, the third sub-chromaticity data, and the third sub-reference chromaticity data.

[0112] Exemplarily, the above step S3504 may include:

[0113] Step S35041: Determine a first index based on the first sub-chromaticity data and the first sub-reference chromaticity data.

[0114] The first indicator includes the cumulative value SUM(Δu1′v1′) of the distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data, and / or the first indicator includes the average value AVG(Δu1′v1′) of the distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data. In other words, the first indicator includes SUM(Δu1′v1′) and / or AVG(Δu1′v1′). Specifically, after determining the first sub-chromaticity data and the first sub-reference chromaticity data, SUM(Δu1′v1′) can be determined using the following formula (3), and AVG(Δu1′v1′) can be determined using the following formula (4).

[0115]

[0116] Among them, (u i1 , v i1 ) represents the i1th first sub-chromaticity data, i1=0,1,2,……,k1; k1 represents the number of red light chips in the display screen, (u o1 ,v o1 ) represents the first sub-reference chromaticity data.

[0117] Step S35042: Determine a second index based on the second sub-chromaticity data and the second sub-reference chromaticity data.

[0118] The second indicator includes the cumulative value SUM(Δu2′v2′) of the distances between the second sub-reference chromaticity data and each of the second sub-chromaticity data, and / or the second indicator includes the average value AVG(Δu2′v2′) of the distances between the second sub-reference chromaticity data and each of the second sub-chromaticity data. In other words, the second indicator includes SUM(Δu2′v2′) and / or AVG(Δu2′v2′). Specifically, after determining the second sub-chromaticity data and the second sub-reference chromaticity data, SUM(Δu2′v2′) can be determined using the following formula (5), and AVG(Δu2′v2′) can be determined using the following formula (6).

[0119]

[0120]

[0121] Among them, (u i2 , v i2 ) represents the i2th second sub-chromaticity data, i2=0,1,2,……,k2; k2 represents the number of green light chips in the display screen, (u o2 ,v o2 ) represents the second sub-reference chromaticity data.

[0122] Step S35043: Determine a third index based on the third sub-chromaticity data and the third sub-reference chromaticity data.

[0123] The third indicator includes the cumulative value SUM(Δu3′v3′) of the distances between the third sub-reference chromaticity data and each of the third sub-chromaticity data, and / or the third indicator includes the average value AVG(Δu3′v3′) of the distances between the third sub-reference chromaticity data and each of the third sub-chromaticity data. In other words, the second indicator includes SUM(Δu3′v3′) and / or AVG(Δu3′v3′). Specifically, after determining the third sub-chromaticity data and the third sub-reference chromaticity data, SUM(Δu3′v3′) can be determined using the following formula (7), and AVG(Δu3′v3′) can be determined using the following formula (8).

[0124]

[0125] Among them, (u i3 , v i3 ) represents the i3th third sub-chromaticity data, i3=0,1,2,……,k3; k3 represents the number of blue light chips in the display screen, (u o3 ,v o3 ) represents the third sub-reference chromaticity data.

[0126] Step S35044: Evaluate the color uniformity of the display screen based on the first indicator, the second indicator, and the third indicator.

[0127] Specifically, if the first, second, and third indicators are all less than preset values, it indicates that the color uniformity of the display screen is good and can be determined to meet the color uniformity requirements. Otherwise, the color uniformity of the display screen is poor and can be determined to not meet the color uniformity requirements. The preset values ​​can be determined by the designer based on the test standards.

[0128] In one example, calculation results of the first indicator, the second indicator, and the third indicator of the display screen may be as shown in Table 3.

[0129] Table 3 Calculation results of chromaticity uniformity index of each display screen

[0130] Display serial number and chip type Usage time SUM AVG No. 1 / Red Light 0h 175.3147719276490000 0.0027054748754267 No. 1 / Red Light 432h 182.8407012985140000 0.0028216157607795 No. 1 / Red Light 936h 186.6313889998640000 0.0028801140277757 No. 2 / Red Light 0h 183.6712598510570000 0.0028344330223929 No. 3 / Red Light 0h 184.9271617229950000 0.0028538142241203 No. 1 / Green Light 0h 184.6710900923760000 0.0028498625014256 No. 1 / Green Light 432h 194.2466205161320000 0.0029976330326564 No. 1 / Green Light 936h 197.4763190014130000 0.0030474740586638 No. 2 / Green Light 0h 193.2488128985820000 0.0029822347669534 No. 3 / Green Light 0h 195.4222142106580000 0.0030157749106583 No. 1 / Blu-ray 0h 860.2424387753560000 0.0132753462773974 No. 1 / Blu-ray 432h 860.6791802472510000 0.0132820861149267 No. 1 / Blu-ray 936h 863.1555476753600000 0.0133203016616568 No. 2 / Blu-ray 0h 877.3170624674410000 0.0135388435565963 No. 3 / Blu-ray 0h 873.7457209902240000 0.0134837302621948

[0131] The results in Table 3 show that, as the display screen ages, the SUM(Δu′v′) and AVG(Δu′v′) of the R, G, and B color chips increase, indicating that chromaticity uniformity is deteriorating, which is consistent with theoretical results. Furthermore, chromaticity uniformity varies between different displays.

[0132] In this embodiment, the reference chromaticity data is determined from the chromaticity data through a machine learning model. The reference chromaticity data can be determined without traversing each chromaticity data, thereby reducing the amount of calculation. The chromaticity uniformity is evaluated by the cumulative value and / or average value of the chromaticity deviation between the chromaticity data and the reference chromaticity data, which can fully incorporate the color difference information of each chip and improve the accuracy of the evaluation.

[0133] Optionally, after determining the reference chromaticity data, the chromaticity deviation between each chromaticity coordinate and the reference chromaticity coordinate can be calculated for each color. The difference between each chip and the reference point can then be displayed in the form of a heat map to evaluate the chromaticity uniformity of the display.

[0134] This embodiment also provides a device for evaluating the color uniformity of a display screen. This device is used to implement the above-mentioned embodiments and preferred implementations, and details already described will not be repeated. As used below, the term "module" may refer to a combination of software and / or hardware that implements a predetermined function. Although the devices described in the following embodiments are preferably implemented in software, implementation using hardware, or a combination of software and hardware, is also possible and contemplated.

[0135] This embodiment provides a device for evaluating the chromaticity uniformity of a display screen. Figure 36 Shown, including:

[0136] An acquisition module 3601 is configured to acquire chromaticity data of each LED chip, wherein the plurality of chromaticity data includes first sub-chromaticity data corresponding to each red chip among the plurality of LED chips, second sub-chromaticity data corresponding to each green chip among the plurality of LED chips, and third sub-chromaticity data corresponding to each blue chip among the plurality of LED chips.

[0137] Determination module 3602, configured to determine reference chromaticity data from a plurality of chromaticity data, wherein the reference chromaticity data is the chromaticity data that, when used as the center of a circle, covers the largest amount of chromaticity data. The radius of the reference circle is determined based on chromaticity differences that are indistinguishable to the human eye. The reference chromaticity data includes first sub-reference chromaticity data corresponding to the red light chip, second sub-reference chromaticity data corresponding to the green light chip, and third sub-reference chromaticity data corresponding to the blue light chip.

[0138] The evaluation module 3603 is configured to evaluate the chromaticity uniformity of the display screen according to the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-chromaticity data, the second sub-reference chromaticity data, the third sub-chromaticity data, and the third sub-reference chromaticity data.

[0139] In some optional embodiments, the radius of the reference circle is less than or equal to 0.01.

[0140] In some optional implementations, the determining module 3602 includes:

[0141] The first determining unit is configured to determine reference chromaticity data from a plurality of chromaticity data by using a machine learning model.

[0142] In some optional embodiments, the machine learning model is a KD-Tree algorithm.

[0143] In some optional implementations, the evaluation module 3603 includes:

[0144] a second determining unit, configured to determine a first index based on the first sub-chromaticity data and the first sub-reference chromaticity data, wherein the first index includes a cumulative value of distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data, and / or includes an average value of distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data;

[0145] a third determining unit, configured to determine a second index based on the second sub-chromaticity data and the second sub-reference chromaticity data, wherein the second index includes a cumulative value of distances between the second sub-reference chromaticity data and each of the second sub-chromaticity data, and / or includes an average value of distances between the second sub-reference chromaticity data and each of the second sub-chromaticity data;

[0146] a fourth determining unit, configured to determine a third index based on the third sub-chromaticity data and the third sub-reference chromaticity data, wherein the third index includes a cumulative value of distances between the third sub-reference chromaticity data and each of the third sub-chromaticity data, and / or includes an average value of distances between the third sub-reference chromaticity data and each of the third sub-chromaticity data;

[0147] The evaluation unit is used to evaluate the color uniformity of the display screen according to the first index, the second index and the third index.

[0148] In some optional embodiments, the device further comprises:

[0149] The drawing module is used to draw a plurality of concentric circles with different radii using the first sub-reference chromaticity data, the second sub-reference chromaticity data and the third sub-reference chromaticity data as the circle centers, wherein the minimum value of the radius of the plurality of concentric circles is greater than the radius of the reference circle.

[0150] The further functional description of each of the above modules and units is the same as that of the above corresponding embodiments and will not be repeated here.

[0151] The display screen color uniformity evaluation device in this embodiment is presented in the form of a functional unit, where the unit refers to an application-specific integrated circuit (ASIC), a processor and memory that executes one or more software or fixed programs, and / or other devices that can provide the above functions.

[0152] The embodiment of the present invention also provides a computer device, such as Figure 37 As shown, the computer device includes: one or more processors 3710, memory 3720, and interfaces for connecting various components, including high-speed interfaces and low-speed interfaces. Various components utilize different buses to communicate with each other and can be installed on a common mainboard or installed in other ways as needed. The processor can process the instructions executed in the computer device, including instructions stored in or on the memory to display the graphical information of the GUI on an external input / output device (such as, a display device coupled to the interface). In some optional embodiments, if necessary, multiple processors and / or multiple buses can be used together with multiple memories and multiple memories. Similarly, multiple computer devices can be connected, and each device provides some necessary operations (for example, as a server array, a group of blade servers, or a multi-processor system). Figure 37 A processor 3710 is taken as an example.

[0153] Processor 3710 may be a central processing unit, a network processor, or a combination thereof. Processor 3710 may further include a hardware chip. The hardware chip may be an application-specific integrated circuit, a programmable logic device, or a combination thereof. The programmable logic device may be a complex programmable logic device, a field programmable gate array, a general purpose array logic, or any combination thereof.

[0154] The memory 3720 stores instructions that can be executed by at least one processor 3710, so that the at least one processor 3710 executes the method shown in the above embodiment.

[0155] The memory 3720 may include a program storage area and a data storage area, wherein the program storage area may store an operating system and application programs required for at least one function; the data storage area may store data created based on the use of the computer device, etc. In addition, the memory 3720 may include high-speed random access memory and may also include non-transient memory, such as at least one disk storage device, flash memory device, or other non-transient solid-state memory device. In some optional embodiments, the memory 3720 may optionally include a memory remotely located relative to the processor 3710, and these remote memories may be connected to the computer device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0156] Memory 3720 may include volatile memory, such as random access memory; memory may also include non-volatile memory, such as flash memory, hard disk or solid state drive; memory 3720 may also include a combination of the above types of memory.

[0157] The computer device also includes a communication interface 3730 for the computer device to communicate with other devices or a communication network.

[0158] The embodiment of the present invention also provides a computer-readable storage medium. The above-mentioned method according to the embodiment of the present invention can be implemented in hardware, firmware, or implemented as a computer code that can be recorded in a storage medium, or implemented as a computer code that is originally stored in a remote storage medium or a non-temporary machine-readable storage medium and downloaded through a network and will be stored in a local storage medium, so that the method described herein can be stored in such software processing on a storage medium using a general-purpose computer, a dedicated processor, or programmable or dedicated hardware. Among them, the storage medium can be a magnetic disk, an optical disk, a read-only storage memory, a random access memory, a flash memory, a hard disk or a solid-state drive, etc.; further, the storage medium can also include a combination of the above-mentioned types of memory. It can be understood that a computer, a processor, a microprocessor controller or programmable hardware includes a storage component that can store or receive software or computer code. When the software or computer code is accessed and executed by a computer, a processor or hardware, the method shown in the above embodiment is implemented.

[0159] A portion of the present invention may be applied as a computer program product, such as a computer program instruction, which, when executed by a computer, can call or provide the method and / or technical solution according to the present invention through the operation of the computer. Those skilled in the art should understand that the form in which the computer program instruction exists in a computer-readable medium includes, but is not limited to, a source file, an executable file, an installation package file, etc. Accordingly, the way in which the computer program instruction is executed by the computer includes, but is not limited to: the computer directly executes the instruction, or the computer compiles the instruction and then executes the corresponding compiled program, or the computer reads and executes the instruction, or the computer reads and installs the instruction and then executes the corresponding installed program. Here, the computer-readable medium may be any available computer-readable storage medium or communication medium that can be accessed by the computer.

[0160] In the description of this specification, the reference terms "this embodiment", "one embodiment", "some embodiments", "example", "specific example" or "some examples" mean that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic expressions of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described can be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art can combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0161] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of the technical features being referred to. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one such feature. In the description of the present invention, "plurality" means at least two, such as two, three, etc., unless otherwise specifically defined.

[0162] Although the embodiments of the present invention have been described with reference to the accompanying drawings, those skilled in the art may make various modifications and variations without departing from the spirit and scope of the present invention, and such modifications and variations shall all fall within the scope defined by the present invention.

Claims

1. A method for evaluating the chromaticity uniformity of a display screen, characterized in that: The display screen includes a plurality of LED chips, and the method includes: Acquire chromaticity data of each of the LED chips, wherein the plurality of chromaticity data includes first sub-chromaticity data corresponding to each red light chip among the plurality of LED chips, second sub-chromaticity data corresponding to each green light chip among the plurality of LED chips, and third sub-chromaticity data corresponding to each blue light chip among the plurality of LED chips; Determining reference chromaticity data from the plurality of chromaticity data, wherein the reference chromaticity data is chromaticity data that, when used as the center of a circle, covers the largest amount of chromaticity data, the radius of the reference circle is determined based on chromaticity differences that are indistinguishable to the human eye, and the reference chromaticity data includes first sub-reference chromaticity data corresponding to the red light chip, second sub-reference chromaticity data corresponding to the green light chip, and third sub-reference chromaticity data corresponding to the blue light chip; The chromaticity uniformity of the display screen is evaluated based on the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-chromaticity data, the second sub-reference chromaticity data, the third sub-chromaticity data, and the third sub-reference chromaticity data.

2. The method according to claim 1, characterized in that The radius of the reference circle is less than or equal to 0.

01.

3. The method according to claim 1, characterized in that The determining of reference chromaticity data from the plurality of chromaticity data comprises: The reference chromaticity data is determined from the plurality of chromaticity data through a machine learning model.

4. The method according to claim 3, characterized in that The machine learning model is the KD-Tree algorithm.

5. The method according to any one of claims 1 to 4, characterized in that The evaluating the chromaticity uniformity of the display screen according to the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-chromaticity data, the second sub-reference chromaticity data, the third sub-chromaticity data, and the third sub-reference chromaticity data includes: determining a first index based on the first sub-chromaticity data and the first sub-reference chromaticity data, wherein the first index comprises a cumulative value of distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data, and / or the first index comprises an average value of distances between the first sub-reference chromaticity data and each of the first sub-chromaticity data; determining a second index based on the second sub-chromaticity data and the second sub-reference chromaticity data, wherein the second index comprises a cumulative value of distances between the second sub-reference chromaticity data and each second sub-chromaticity data, and / or the second index comprises an average value of distances between the second sub-reference chromaticity data and each second sub-chromaticity data; determining a third index based on the third sub-chromaticity data and the third sub-reference chromaticity data, wherein the third index includes a cumulative value of distances between the third sub-reference chromaticity data and each of the third sub-chromaticity data, and / or the third index includes an average value of the distances between the third sub-reference chromaticity data and each of the third sub-chromaticity data; The chromaticity uniformity of the display screen is evaluated according to the first index, the second index, and the third index.

6. The method according to any one of claims 1 to 4, characterized in that After determining the reference chromaticity data from the plurality of chromaticity data, the method further includes: A plurality of concentric circles with different radii are drawn with the first sub-reference chromaticity data, the second sub-reference chromaticity data and the third sub-reference chromaticity data as centers, wherein a minimum value of the radii of the plurality of concentric circles is greater than the radius of the reference circle.

7. A device for evaluating the chromaticity uniformity of a display screen, characterized in that: The display screen includes a plurality of LED chips, and the device includes: an acquisition module, configured to acquire chromaticity data of each of the LED chips, wherein the plurality of chromaticity data includes first sub-chromaticity data corresponding to each red light chip among the plurality of LED chips, second sub-chromaticity data corresponding to each green light chip among the plurality of LED chips, and third sub-chromaticity data corresponding to each blue light chip among the plurality of LED chips; a determination module, configured to determine reference chromaticity data from the plurality of chromaticity data, wherein the reference chromaticity data is chromaticity data that, when used as the center of a circle, covers the largest amount of chromaticity data within a reference circle, the radius of the reference circle being determined based on chromaticity differences that are indistinguishable to the human eye, and the reference chromaticity data comprising first sub-reference chromaticity data corresponding to the red light chip, second sub-reference chromaticity data corresponding to the green light chip, and third sub-reference chromaticity data corresponding to the blue light chip; An evaluation module is configured to evaluate the chromaticity uniformity of the display screen according to the first sub-chromaticity data, the first sub-reference chromaticity data, the second sub-chromaticity data, the second sub-reference chromaticity data, the third sub-chromaticity data, and the third sub-reference chromaticity data.

8. A computer device, characterized in that: include: A memory and a processor, wherein the memory and the processor are communicatively connected to each other, the memory stores computer instructions, and the processor executes the method for evaluating the chromaticity uniformity of a display screen according to any one of claims 1 to 6 by executing the computer instructions.

9. A computer-readable storage medium, characterized in that The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a computer device to execute the method for evaluating the chromaticity uniformity of a display screen according to any one of claims 1 to 6.

10. A computer program product, characterized in that The method comprises computer instructions for causing a computer to execute the method for evaluating the chromaticity uniformity of a display screen according to any one of claims 1 to 6.

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