Chromatic aberration characterization method of display panel, related device and computer program product

Abstract

The invention provides a color difference characterization method of a display panel, related equipment and a computer program product. The method comprises the following steps: acquiring color information of each to-be-detected area in a plurality of to-be-detected areas of the display panel; and according to the color information and the average color information, respectively determining color difference information corresponding to each to-be-detected area. And determining a visual identifier corresponding to the color difference information based on a preset visual mapping relationship, and displaying the visual identifier. Different color difference information corresponds to different visual identifiers, and the color difference of each to-be-detected area relative to a standard color point in the same display panel can be visually displayed through the visual identifiers. And the phenomenon of non-uniform chromaticity of the display panel does not need to be qualitatively evaluated by human eyes, so that the accuracy and repeatability of distinguishing the non-uniform chromaticity of the display panel are improved. Meanwhile, the user can intuitively know the chromatic aberration condition of each to-be-detected area in the display panel, and chromatic aberration rating can be conveniently carried out on the display panel.

Description

Technical Field

[0001] The present application relates to the field of display technologies, and in particular, to a method for characterizing color difference of a display panel, related devices, and computer program products. Background Art

[0002] Color difference, that is, color variation, is an important indicator for evaluating the picture quality of a display screen and is also one of the most common defects in the display industry. Color difference defects are mainly divided into three categories. The first category is the color difference between the display screen and the standard color point. The second category is the color difference between different display screens. The third category is the color difference between different regions of the same display screen. For the first two categories of color difference defects, traditional chromaticity indicators can be used for accurate quantification. However, for the third category of color difference defects (also known as display screen chromaticity non-uniformity), traditional chromaticity indicators cannot be used for evaluation, and the industry mainly relies on qualitative evaluation by the human eye. Due to individual differences, the evaluation results are likely to be inaccurate. Summary of the Invention

[0003] In view of this, an object of the present application is to provide a method for characterizing color difference of a display panel, related devices, and computer program products to solve the problem of inaccurate evaluation of the display screen chromaticity non-uniformity phenomenon.

[0004] Based on the above object, a first aspect of the present application provides a method for characterizing color difference of a display panel, including:

[0005] Obtaining color information of each of a plurality of regions to be measured on the display panel;

[0006] Determining average color information based on the color information of each region to be measured;

[0007] Respectively determining color difference information corresponding to each region to be measured according to the color information and the average color information;

[0008] Determining a visualization identifier corresponding to the color difference information based on a preset visualization mapping relationship;

[0009] Displaying the visualization identifier.

[0010] Optionally, the color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes relative hue angle;

[0011] The step of respectively determining color difference information corresponding to each region to be measured according to the color information and the average color information includes:

[0012] Determining the relative hue angle by using an angle algorithm based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates.

[0013] Optionally, the color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes relative color density values;

[0014] Determining the color difference information corresponding to each area to be measured according to the color information and the average color information respectively includes:

[0015] Based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates, a distance algorithm is used to determine the relative color density value corresponding to the area to be measured.

[0016] Optionally, the color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes relative color density values and relative hue angles;

[0017] Determining the color difference information corresponding to each area to be measured according to the color information and the average color information respectively includes:

[0018] Based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates, a distance algorithm is used to determine the relative color density value corresponding to the area to be measured;

[0019] Based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates, an angle algorithm is used to determine the relative hue angle.

[0020] Optionally, the method further includes: amplifying the relative color density value by an amplification factor.

[0021] Optionally, the color information includes brightness information, the average color information includes average brightness information, and the color difference information includes brightness difference information;

[0022] Determining the color difference information corresponding to each area to be measured according to the color information and the average color information respectively includes:

[0023] Based on the brightness information and the average brightness information, a difference algorithm is used to determine the brightness difference information.

[0024] Optionally, determining the visualization identifier corresponding to the color difference information based on a preset visualization mapping relationship includes:

[0025] In the visualization mapping relationship, determining the color difference range corresponding to the color difference information, and obtaining the color identifier corresponding to the color difference range as the visualization identifier.

[0026] Optionally, the color difference range includes a hue angle difference range and a color density value difference range;

[0027] Obtaining a color identifier corresponding to the color difference range as the visualization identifier includes:

[0028] Obtaining a set of color identifiers corresponding to the hue angle difference range;

[0029] Based on the set of color identifiers, determining a color identifier corresponding to the color density difference range as the visualization identifier.

[0030] Optionally, the method further includes:

[0031] In response to the color difference level corresponding to the visualization identifier exceeding a preset critical color difference level, determining that a color difference appears in the area to be measured;

[0032] In response to the color difference level corresponding to the visualization identifier not exceeding a preset critical color difference level, determining that no color difference appears in the area to be measured.

[0033] Optionally, the method further includes: calculating a color difference characterization value of the display panel according to the color difference information of each area to be measured.

[0034] Optionally, the color difference information includes a relative color density value; calculating the color difference characterization value of the display panel according to the color difference information of each area to be measured includes:

[0035] According to a plurality of preset numerical ranges, determining the statistical quantity of the relative color density values corresponding to each numerical range;

[0036] Calculating an average color density value according to all the relative color density values;

[0037] Calculating the color difference characterization value according to the statistical quantity and the average color density value.

[0038] Optionally, calculating the color difference characterization value according to the statistical quantity and the average color density value includes:

[0039] Calculating the color difference characterization value according to each statistical quantity, a weighting coefficient corresponding to each statistical quantity one by one, and the average color density value; wherein, the value of the weighting coefficient is positively correlated with the value of the numerical range associated with the corresponding statistical quantity.

[0040] A second aspect of the present application further provides a color difference characterization device for a display panel, including:

[0041] An obtaining module configured to obtain the color information of each area to be measured in a plurality of areas to be measured of the display panel;

[0042] A first determination module configured to determine average color information based on the color information of each area to be measured;

[0043] A second determination module, configured to respectively determine color difference information corresponding to each area to be measured according to the color information and the average color information;

[0044] A third determination module, configured to determine a visualization identifier corresponding to the color difference information based on a preset visualization mapping relationship;

[0045] A display module, configured to display the visualization identifier.

[0046] A third aspect of the present application further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable by the processor. When the processor executes the computer program, the method described in the first aspect is implemented.

[0047] A fourth aspect of the present application further provides a non-transitory computer-readable storage medium storing computer instructions for causing a computer to execute the method described in the first aspect.

[0048] A fifth aspect of the present application further provides a computer program product including computer program instructions that, when running on a computer, cause the computer to execute the method described in the first aspect.

[0049] As can be seen from the above, the present application provides a method for characterizing color difference of a display panel, related devices, and a computer program product. The method includes obtaining color information of each area to be measured in a plurality of areas to be measured of a display panel, determining average color information based on the color information of each area to be measured, and characterizing standard color point information of the display panel through the average color information, so as to facilitate subsequent color difference comparison for each area to be measured. According to the color information and the average color information, respectively determine color difference information corresponding to each area to be measured, and the color difference information can characterize the color difference size of each area to be measured. Determine a visualization identifier corresponding to the color difference information based on a preset visualization mapping relationship, and display the visualization identifier. Different color difference information corresponds to different visualization identifiers, and the color difference of each area to be measured relative to the standard color point in the same display panel can be intuitively displayed through the visualization identifier. There is no need to rely on human eyes to qualitatively evaluate the phenomenon of uneven chromaticity of the display panel, which improves the accuracy and repeatability of distinguishing uneven chromaticity of the display panel. At the same time, the user can intuitively know the color difference situation of each area to be measured in the display panel, which is convenient for color difference rating of the display panel. Description of the Drawings

[0050] To more clearly illustrate the technical solutions in this application or related technologies, the following will briefly introduce the drawings required for use in the embodiments or related technology descriptions. Obviously, the drawings in the following description are only the embodiments of this application. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0051] Figure 1A Schematic diagram of the xy color coordinates of Sample No. 1 in the embodiments of this application;

[0052] Figure 1B Schematic diagram of the xy color coordinates of Sample No. 2 in the embodiments of this application;

[0053] Figure 1C Schematic diagram of the xy color coordinates of Sample No. 3 in the embodiments of this application;

[0054] Figure 2 Schematic diagram of the CCT correlated color temperature of three samples in the embodiments of this application;

[0055] Figure 3 Schematic diagram of the color coordinates in the Lab color space in the embodiments of this application;

[0056] Figure 4A Schematic diagram of the flowchart of the color difference characterization method for the display panel in the embodiments of this application;

[0057] Figure 4B Schematic diagram of the visualization identifier display in the embodiments of this application;

[0058] Figure 5 Schematic diagram of the positions of the color coordinates of the area to be measured and the average color coordinates in the CIE1976 chromaticity space in the embodiments of this application;

[0059] Figure 6 Schematic diagram of the corresponding relationship between the relative color concentration value, relative hue angle and color identifier in the embodiments of this application;

[0060] Figure 7 Schematic diagram of the flowchart of the color difference characterization method for the display panel in another embodiment of this application;

[0061] Figure 8 Schematic diagram of the structure of the color difference characterization device for the display panel in the embodiments of this application;

[0062] Figure 9 Schematic diagram of the hardware structure of the electronic device in the embodiments of this application. Detailed implementation manners

[0063] To make the objectives, technical solutions and advantages of this application clearer and more understandable, the following further elaborates on this application in detail in combination with specific embodiments and with reference to the drawings.

[0064] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the embodiments of this application should have the ordinary meanings understood by those of ordinary skill in the art to which this application belongs. The "first", "second" and similar terms used in the embodiments of this application do not denote any order, quantity or importance, but are only used to distinguish different components. Words such as "include" or "comprise" mean that the elements or objects appearing before this word cover the elements or objects listed after this word and their equivalents, without excluding other elements or objects. Words such as "connect" or "be connected" are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right", etc. are only used to represent relative position relationships. When the absolute position of the object being described changes, the relative position relationship may also change accordingly.

[0065] As described in the background art, for the color difference phenomenon of uneven chromaticity of the display screen, due to different gradient trends presented in multiple regions within the same display screen, samples with relatively minor color difference defects may not even show the color difference phenomenon through the method of taking pictures. When evaluating the uneven chromaticity of the display screen by traditional chromaticity indicators, the evaluation results often do not completely match the color difference defect phenomenon or cannot characterize the color difference defect phenomenon. Therefore, only the human eyes of the judgment personnel can be relied on for qualitative evaluation. However, due to certain individual differences in the standards of the judgment personnel, the judgment results are inaccurate and fluctuate greatly, and the human eyes cannot accurately identify similar color difference levels, resulting in a rough classification of the color difference rating for the uneven chromaticity of the display screen.

[0066] To illustrate that traditional chromaticity indicators cannot accurately evaluate the uneven chromaticity phenomenon of the display screen, this application respectively uses different traditional chromaticity indicators to calculate and characterize three liquid crystal display screen samples with uneven chromaticity. The chromaticity unevenness phenomenon of Sample No. 1 is red on the left and cyan on the right (the left region within the display screen shows red, and the right region shows cyan). The chromaticity unevenness phenomenon of Sample No. 2 is also red on the left and cyan on the right, but it is different in degree from Sample No. 1. The chromaticity unevenness phenomenon of Sample No. 3 is cyan on the left and red on the right (the left region within the display screen shows cyan, and the right region shows red). Figure 1A Shows the xy chromaticity coordinate schematic diagram of Sample No. 1, Figure 1B Shows the xy chromaticity coordinate schematic diagram of Sample No. 2, Figure 1C Shows the xy chromaticity coordinate schematic diagram of Sample No. 3. In Figure 1A it, in the left figure, it shows that x first decreases and then increases, and y gradually increases. Matching the xy chromaticity coordinates in the CIE1931 chromaticity gamut diagram on the right, it can be seen that from left to right, the color changes as red → purple → orange, which does not match the chromaticity unevenness phenomenon (red on the left and cyan on the right) of Sample No. 1. In Figure 1BAmong them, in the left figure, it shows that x first decreases and then increases, while y gradually decreases. When the xy color coordinates are matched in the CIE1931 color gamut map on the right, it can be seen that from left to right, the color changes from pink → blue → purple, which does not match the chromaticity non-uniformity phenomenon (red on the left and cyan on the right) of Sample No. 2. In Figure 1C Among them, in the left figure, it shows that x first decreases and then increases, while y gradually decreases. When the xy color coordinates are matched in the CIE1931 color gamut map on the right, it can be seen that from left to right, the color changes from orange → purple → red, which does not match the chromaticity non-uniformity phenomenon (cyan on the left and red on the right) of Sample No. 3. Thus, it can be seen that a single color coordinate x or y cannot be used to evaluate the color change of the display screen. Even though both Sample No. 1 and Sample No. 2 are samples with red on the left and cyan on the right, the changing trends of the color coordinates are different. The color change trend obtained by matching the color coordinates xy in the CIE1931 color gamut map is not exactly the same as the chromaticity non-uniformity phenomenon observed by the human eye for the 3 samples.

[0067] Figure 2 shows the schematic diagram of the correlated color temperature (CCT) of three samples. From Figure 2 it can be seen that there is no obvious difference in the color temperature performance of the three samples, and the changing trend is to increase first and then decrease, indicating that the chromaticity non-uniformity phenomenon of the display screen cannot be characterized by the color temperature. Figure 3 shows the schematic diagram of the color coordinates in the Lab (Lab color space) color space of three samples. From Figure 3 it can be known that both the a and b coordinates of Sample No. 1 are negative values, and the color change shows blue → green. The a coordinate of Sample No. 2 is a positive value, and the b coordinate is a negative value, and the color change shows purple → blue → purple. Both the a and b coordinates of Sample No. 3 are negative values, and the color change shows green → blue. The color changes of the three samples under the Lab color coordinates do not match the chromaticity non-uniformity phenomenon, indicating that the Lab color coordinates also cannot characterize the chromaticity non-uniformity phenomenon of the display screen. In summary, neither the xy color coordinates, the CCT color temperature, nor the Lab color coordinates can accurately characterize the chromaticity non-uniformity phenomenon of the display screen seen by the human eye.

[0068] In view of this, the present application proposes a method for characterizing the color difference of a display panel to solve the problem of inaccurate evaluation of the chromaticity non-uniformity of the display screen. The following will describe the embodiments of the present application in detail with reference to the accompanying drawings.

[0069] Figure 4A shows the schematic flow chart of a method for characterizing the color difference of a display panel according to an embodiment of the present application. As Figure 4A shown, it includes the following steps:

[0070] Step 102, obtain the color information of each measurement area in multiple measurement areas of the display panel.

[0071] Specifically, the display panel is evenly divided into multiple regions to be measured in advance, and each region to be measured has the same area. Exemplarily, the display panel is divided into 200 regions to be measured. The color information of each region to be measured is detected, and the color information is the average value of the color information of all pixels in the region to be measured. Exemplarily, the color information may include color coordinates in a uniform chromaticity space, such as color coordinates in the CIE1976 uniform chromaticity space. In the uniform chromaticity space, the color spans corresponding to the same change rate of color coordinates in different regions are the same, which is conducive to accurately characterizing the chromaticity non-uniformity phenomenon of the display panel. The color information may also include brightness and the like.

[0072] Step 104: Determine the average color information based on the color information of each region to be measured.

[0073] Specifically, the average color information is the average value of the color information of all regions to be measured. The average color information is used as the color information of the standard color point in the display panel, and the color information of each region to be measured needs to be compared with the color information of the standard color point to characterize the chromaticity non-uniformity phenomenon of the display screen. When the color information is color coordinates, the average color information is the average color coordinates.

[0074] It should be noted that in the traditional color difference determination method, the difference between the color of the object to be measured and the standard white point (color coordinates x = 0.313, y = 0.329) is usually calculated as the basis for judging whether there is a color difference. However, the human eye visual system does not have the concept of a standard white point. The human eye only compares all the colors within the visual field and then identifies the color difference of the local color relative to the whole. Therefore, it is not reasonable to set a standard white point to match the color difference phenomenon of the human eye. The average value of all the colors within the visual field of the human eye should be used as the standard color point. Therefore, in this embodiment, using the average value of the color information of all regions to be measured in the display screen as the color information of the standard color point can better match the color difference phenomenon of the human eye visual system.

[0075] Step 106: Determine the color difference information corresponding to each region to be measured according to the color information and the average color information.

[0076] Specifically, after determining the color information of each region to be measured and the average color information of the display panel, the color information of each region to be measured is compared with the average color information, and the color difference information of each region to be measured can be obtained. The color difference information characterizes the magnitude of the color difference of the region to be measured. Exemplarily, the color difference information includes hue difference, color concentration difference, brightness difference, and so on. The color difference between the region to be measured and the standard color point can be characterized from different dimensions through the color difference information.

[0077] Step 108: Determine the visual identifier corresponding to the color difference information based on the preset visual mapping relationship.

[0078] Specifically, in order to visually display the color difference of each area to be measured relative to the standard color points in the display panel, after determining the color difference information, it will be presented to the user in a visual manner. That is, based on the color difference information, the corresponding visual identifier is determined through a preset visual mapping relationship. The visual mapping relationship defines the correspondence between the color difference information and the visual identifier, and a unique visual identifier can be determined through the color difference information. Through the visual identifier, the user can accurately know the color difference between the area to be measured and the standard color point. Exemplarily, the visual identifier can be a color identifier, an image identifier, a number, a letter, etc. If the visual identifier is a color identifier, the darker the color of the visual identifier, the greater the color difference between the area to be measured and the standard color point, and the lighter the color of the visual identifier, the smaller the color difference between the area to be measured and the standard color point. If the visual identifier is an image identifier, a number, or a letter, the image identifier, number, or letter can be corresponded to the degree of color difference one by one, and the size of the color difference can be determined through the visual identifier.

[0079] Step 110: Display the visual identifier.

[0080] Specifically, after determining the visual identifier through the foregoing steps, the visual identifier can be displayed on the display device in the form of a color cloud map, which is convenient for the user to intuitively understand the color difference of each area to be measured. Figure 4B Shows a schematic diagram of the display of the visual identifier corresponding to the display panel, as Figure 4B shown, the visual identifiers of each area to be measured may be different. Further, the executable code corresponding to the visual identifier can be generated first, and the executable code is run through the controller of the display device to successfully display the visual identifier on the display device. If the executable code is incorrect, an error message is reported through the display device to prompt the user to find the cause of the error.

[0081] Based on steps 102 to 110, the method for characterizing color difference of the display panel provided in this embodiment includes obtaining color information of each of multiple regions to be measured in the display panel, determining average color information based on the color information of each region to be measured, and characterizing the standard color point information of the display panel through the average color information, so as to facilitate subsequent color difference comparison for each region to be measured. According to the color information and the average color information, color difference information corresponding to each region to be measured is determined respectively, and the color difference information can characterize the color difference magnitude of each region to be measured. Based on a preset visual mapping relationship, a visual identifier corresponding to the color difference information is determined, and the visual identifier is displayed. Different color difference information corresponds to different visual identifiers, and through the visual identifiers, the color difference of each region to be measured relative to the standard color point within the same display panel can be intuitively displayed. There is no need to rely on the qualitative evaluation of the human eye for the phenomenon of uneven chromaticity of the display panel, which improves the accuracy and repeatability of distinguishing the uneven chromaticity of the display panel. At the same time, the user can intuitively know the color difference situation of each region to be measured within the display panel, which is convenient for color difference rating of the display panel.

[0082] The color difference information in this application includes relative hue angle, relative color concentration value and brightness, which can characterize the color difference degree from different dimensions, and will be described one by one through specific embodiments below.

[0083] In some embodiments, the color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes relative hue angle; the determining of the color difference information corresponding to each region to be measured according to the color information and the average color information includes: based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates, an angle algorithm is used to determine the relative hue angle.

[0084] Specifically, in this embodiment, the color information of the region to be measured is the color coordinates (u, v) in a uniform chromaticity space, and the average color coordinates of the standard color point determined by taking the average are denoted as (u b , v b ). Figure 5 FIG. shows the position schematic diagram of the color coordinates (u, v) of the region to be measured and the average color coordinates (u b , v b ) in the CIE1976 chromaticity space. As Figure 5 shown, the angle between the line connecting the color coordinates (u, v) and the average color coordinates (u b , v b ) and the positive direction of the horizontal direction is called the relative hue angle A, and the value range of the relative hue angle A is: -180° ≤ A ≤ 180°, and the calculation method of the relative hue angle A is as follows formula (1):

[0085]

[0086] The hue of the area to be measured in the chromaticity space can be determined by the relative hue angle. For example, if the hue of the standard color point is in the white area, when 0° ≤ A ≤ 20°, the hue of the area to be measured is the pink area; when -80° ≤ A ≤ -60°, the hue of the area to be measured is the purple area; when 80° ≤ A ≤ 100°, the hue of the area to be measured is the yellow area. The hue difference between the area to be measured and the standard color point can be determined by the relative hue angle, so as to understand the hue deviation trend of the area to be measured and the local or overall hue deviation trend of the display panel.

[0087] In some embodiments, the color information includes chromaticity coordinates, the average color information includes average chromaticity coordinates, and the color difference information includes relative color concentration values; determining the color difference information corresponding to each area to be measured according to the color information and the average color information respectively includes:

[0088] Based on the coordinate values of the chromaticity coordinates and the coordinate values of the average chromaticity coordinates, a distance algorithm is used to determine the relative color concentration value corresponding to the area to be measured.

[0089] Similar to the foregoing embodiments, the color information in this embodiment includes chromaticity coordinates in the uniform chromaticity space, and the average color information is the average chromaticity coordinates. As Figure 5 shown, the distance between the chromaticity coordinates (u, v) and the average chromaticity coordinates (u b , v b ) is called the relative color concentration value Z, and the calculation method of the relative color concentration value Z is shown in the following formula (2):

[0090]

[0091] The relative color concentration value Z can represent the degree of proximity between the chromaticity coordinates of the area to be measured and the average chromaticity coordinates of the standard color point in the chromaticity space. The larger the relative color concentration value Z, the greater the color difference of the area to be measured; the smaller the relative color concentration value Z, the smaller the color difference of the area to be measured. The relative color concentration value Z can represent the color difference degree of the area to be measured relative to the standard color point, providing a quantitative representation of the color difference for the user to accurately evaluate the color difference of each area to be measured.

[0092] Furthermore, the calculation method of the relative color concentration value Z can also be shown in the following formula (3):

[0093]

[0094] In formula (3), a magnification factor k is added, and the function of the magnification factor is to magnify the value of the relative color concentration value. Since in actual calculation, the chromaticity coordinates (u, v) and the average chromaticity coordinates (u b , v b) The distance between them may be small, that is, of a small order of magnitude, which is not convenient for distinction and calculation. Therefore, in this embodiment, when calculating the relative color concentration value Z, the relative color concentration value Z is amplified simultaneously. Exemplarily, the amplification factor k is taken as 10,000.

[0095] In some embodiments, the color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes a relative color concentration value and a relative hue angle.

[0096] Determining the color difference information corresponding to each area to be measured according to the color information and the average color information respectively includes: determining the relative color concentration value corresponding to the area to be measured by using a distance algorithm based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates; determining the relative hue angle by using an angle algorithm based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates.

[0097] Specifically, in this embodiment, the color difference information in the foregoing embodiment is combined. In this embodiment, the color difference information includes a relative color concentration value and a relative hue angle, that is, the color difference degree of the area to be measured is characterized jointly by the relative color concentration value and the relative hue angle. The calculation methods of the relative color concentration value and the relative hue angle in this embodiment are the same as those in the foregoing embodiment, and will not be elaborated here. Determining the color difference information jointly by the relative color concentration value and the relative hue angle can not only characterize the hue where the area to be measured is located, but also characterize the size degree of the color difference of the area to be measured relative to the standard color point. In a display panel, after the relative hue angle of each area to be measured is determined, the color shift tendency of different areas of the display panel can be determined, for example, whether it is green on the left and red on the right, or red on the left and green on the right. After the relative color concentration value of each area to be measured is determined, the degree of color deviation can be determined. For example, if the hues of two areas to be measured are both red determined by the relative hue angle, and the relative color concentration value of one of the areas to be measured is larger, it means that the color difference of this area to be measured is larger. Therefore, according to the relative color concentration value and the relative hue angle, the color shift and the deviation degree of each area to be measured in the display panel can be quantitatively characterized, so as to understand the color difference situation of the entire display panel.

[0098] In some embodiments, the color information includes luminance information, the average color information includes average luminance information, and the color difference information includes luminance difference information; determining the color difference information corresponding to each area to be measured according to the color information and the average color information respectively includes: determining the luminance difference information by using a difference algorithm based on the luminance information and the average luminance information.

[0099] Specifically, the color information in this embodiment includes brightness information, which can be directly measured by a testing device. The average brightness information is calculated by taking the average of all the brightness information and used as the brightness information of the standard color points in the display panel. The difference between the brightness information and the average brightness information is used as the brightness difference information of the area to be tested. The brightness difference information can characterize the brightness difference between each area to be tested in the display panel and the standard point, quantitatively analyze the brightness of each area to be tested, and then determine whether the brightness of different areas of the display panel is consistent. If not, the specific brightness difference value can also be determined, which helps users to improve the process or take corresponding remedial measures.

[0100] After determining the color difference information, it is also necessary to determine the visual identifier according to the color difference information, and then perform visual display for the user. The method for determining the visual identifier is described below through specific embodiments.

[0101] In some embodiments, determining the visual identifier corresponding to the color difference information based on a preset visual mapping relationship includes: in the visual mapping relationship, determining the color difference range corresponding to the color difference information, and obtaining the color identifier corresponding to the color difference range as the visual identifier.

[0102] Specifically, the color difference range is a pre-divided numerical range, and each color difference range corresponds to a visual identifier. After determining the color difference information, it can be judged which color difference range the color difference information is included in, and the color identifier corresponding to the color difference range is used as the visual identifier. Exemplarily, if the color difference information is the relative hue angle, the color difference range is an angular range, and each angular range corresponds to a color identifier. For example, when the angular range is (0°, 20°), the color identifier is pink, and when the angular range is (80°, 100°), the color identifier is yellow. When the calculated relative hue angle of the area to be tested is 10°, it falls within the angular range (0°, 20°), so the visual identifier of this area to be tested is pink. If the color difference information is the relative color concentration value, the color difference range is a numerical range, and each numerical range corresponds to a color identifier. For example, when the numerical range is (20, 30), the color identifier is light gray, and when the numerical range is (30, 40), the color identifier is dark gray. When the calculated relative color concentration value of the area to be tested is 25, it falls within the numerical range (20, 30), so the visual identifier of this area to be tested is light gray.

[0103] It should be noted that the number of numerical ranges included in the color difference range and the length of the data interval of each numerical range can be set according to the actual situation. When fine display of the visualization identifier is required, the number of numerical ranges can be appropriately increased, and the length of the data interval of the numerical range can be reduced. Through the method of this embodiment, the visualization identifier corresponding to each area to be measured can be accurately determined, and the color difference of each area to be measured can be accurately displayed through the visualization identifier, which is beneficial for users to perform accurate quantitative evaluation on the chromaticity unevenness phenomenon of the display screen.

[0104] The color difference of the area to be measured can only be displayed from a single dimension through the relative hue angle or the relative color concentration value. In order to more comprehensively reflect the chromaticity unevenness phenomenon of the display screen, the visualization identifier can be determined by combining the relative hue angle and the relative color concentration value. The following is illustrated by specific embodiments.

[0105] In some embodiments, the color difference range includes a hue angle difference range and a color concentration value difference range; the obtaining of the color identifier corresponding to the color difference range as the visualization identifier includes: obtaining a set of color identifiers corresponding to the hue angle difference range; based on the set of color identifiers, determining the color identifier corresponding to the color concentration difference range as the visualization identifier.

[0106] In this embodiment, the color difference range includes a hue angle difference range and a color concentration value difference range, and the color difference information includes the relative color concentration value and the relative hue angle. Based on the relative hue angle, the hue angle difference range corresponding to the area to be measured can be determined, and each hue angle difference range corresponds to a set of color identifiers. Then, the corresponding color identifier is determined in the set of color identifiers according to the relative color concentration value. Each color identifier in the set of color identifiers corresponds to a color concentration value difference range. By determining which color concentration value difference range the relative color concentration value is included in, the color identifier corresponding to the relative color concentration value in the set of color identifiers can be determined, and this color identifier is used as the visualization identifier of the area to be measured. Figure 6 The schematic diagram showing the correspondence relationship between the relative color concentration value, the relative hue angle and the color identifier is shown. From Figure 6 it can be seen that the value range of the relative hue angle A is from -180° to 180°. The value range of the relative hue angle A is divided into multiple hue angle difference ranges, and the angle interval included in each hue angle difference range is 20°. For example, -180° to -160° is a hue angle difference range, and the corresponding color is the cyan set. -160° to -140° is a hue angle difference range, and the corresponding color is the blue set. Each hue angle difference range corresponds to a set of color identifiers. For example, the color marker set corresponding to the hue angle difference range of 0° to 20° is the pink set. In the pink set, the pink is divided according to the color depth to form multiple color identifiers, from light pink to dark pink. As Figure 6As shown, the pink set contains 7 color identifiers, each corresponding to a range of color concentration value differences, which are successively (0, Z1), (Z1, Z2),..., (Z6, +∞). The pink color concentration corresponding to (0, Z1) is the lightest, and the pink color concentration corresponding to (Z6, +∞) is the darkest. In this way, based on the relative color concentration value and the relative hue angle, the color identifier uniquely corresponding to the area to be measured can be determined. Through this color identifier, not only the hue of the area to be measured can be known, but also the color difference degree can be known to comprehensively judge the color difference situation of the display panel. For example, if the color identifier of a certain area of the display panel is dark red, it means that the hue of this area is red and the deviation degree is large.

[0107] After the visual identifier is displayed, the user can also judge whether there is a color difference in the area to be measured through the visual identifier. The specific judgment method is described in the following embodiments.

[0108] In some embodiments, the method further includes:

[0109] In response to the color difference level corresponding to the visual identifier exceeding a preset critical color difference level, it is determined that there is a color difference in the area to be measured;

[0110] In response to the color difference level corresponding to the visual identifier not exceeding a preset critical color difference level, it is determined that there is no color difference in the area to be measured.

[0111] Specifically, the preset critical color difference level is the critical value of the color difference that can be distinguished by the human eye determined according to the real color difference and the human eye visual system. When the color difference level of the visual identifier exceeds the critical color difference level, it can be determined that there is a color difference in the area to be measured. If the color difference level of the visual identifier does not exceed the critical color difference level, there is no color difference in the area to be measured. For example, the saturation of the visual identifier corresponding to the critical color difference level can be used as the critical saturation. Through human eye observation, if the saturation of the visual identifier exceeds the critical saturation, that is, the color difference level corresponding to this visual identifier exceeds the critical color difference level, it is determined that there is a color difference in the area to be measured. It should be noted that due to the limitations of the human eye vision, when there is an obvious difference between the color difference level corresponding to the visual identifier and the critical color difference level, the user can use the method of this embodiment to distinguish whether there is a color difference in the area to be measured. Through the method of this embodiment, the user can preliminarily judge whether there is a color difference in the area to be measured through the human eye visual system to quickly evaluate whether there is color unevenness in the display panel.

[0112] Only a preliminary judgment on whether there is a color difference in the area to be measured can be made through the visual identifier. When the color difference of the display panel is slightly poor, it is difficult to distinguish by the human eye. At this time, quantitative calculation of the color difference is required, and the quantitative calculation result is used to determine whether there is color unevenness in the display panel. The following is described through specific embodiments.

[0113] In some embodiments, the method further includes: calculating a color difference characterization value of the display panel according to the color difference information of each area to be measured. The color difference characterization value is used to quantitatively characterize the degree of color difference of the display panel. The larger the color difference characterization value is, the greater the color difference of the display panel is; the smaller the color difference characterization value is, the smaller the color difference of the display panel is. The color difference characterization value can be calculated from the color difference information. Through the method of this embodiment, the color difference characterization value can be calculated, which solves the problem that the traditional chromaticity index cannot characterize the color difference within a single display panel, replaces the qualitative evaluation by human eyes with a quantitative evaluation, and greatly improves the accuracy and repeatability of color difference evaluation.

[0114] Further, calculating the color difference characterization value of the display panel according to the color difference information of each area to be measured includes:

[0115] Determining the statistical quantity of the relative color concentration value corresponding to each numerical range according to a plurality of preset numerical ranges; calculating an average color concentration value according to all the relative color concentration values; calculating the color difference characterization value according to the statistical quantity and the average color concentration value.

[0116] Specifically, in this embodiment, the color difference information includes relative color concentration values. The plurality of numerical ranges are a plurality of numerical intervals pre-divided according to the relative color concentration values. Determine the numerical range to which the relative color concentration value of each area to be measured belongs, and count the statistical quantity of the relative color concentration values corresponding to each numerical range. Calculate the average color concentration value according to all the relative color concentration values, and then calculate the color difference characterization value according to each statistical quantity and the average color concentration value.

[0117] Further, calculating the color difference characterization value according to the statistical quantity and the average color concentration value includes:

[0118] Calculating the color difference characterization value according to each statistical quantity, the weighting coefficient corresponding to each statistical quantity one by one, and the average color concentration value; wherein, the value of the weighting coefficient is positively correlated with the value of the numerical range associated with the corresponding statistical quantity.

[0119] Specifically, the weighting coefficient is pre-determined and corresponds to the statistical quantity one by one. The color difference characterization value ΔZ can be calculated by the following formula (4):

[0120] ΔZ = Z v + k1T1 + k2T2 + … + k n T n (4)

[0121] Wherein, Z v represents the average color concentration value, k n represents the weighting coefficient, and T nrepresents the statistical number, and n represents the number of value ranges. For example, if the number of value ranges is 7, namely (0, Z1), (Z1, Z2) ... (Z6, +∞), T1 represents the statistical number of relative color density values contained in the value range (0, Z1), T2 represents the statistical number of relative color density values contained in the value range (Z1, Z2), T n Represents the statistical quantity of relative color density values contained in the numerical range (Z6, +∞). The value of the weighting coefficient is positively correlated with the value of the numerical range associated with the corresponding statistical quantity. As the value corresponding to the numerical range increases, the weighting coefficient increases accordingly, that is, k1≤k2≤…≤k n When T n When k n Maximum, T n It accounts for the largest proportion in ΔZ, which can effectively widen the gradient of the color difference characterization value and clearly distinguish the different color difference degrees of the display panel.

[0122] It should be noted that in order to speed up the calculation of the color difference characterization value, it is not necessary to count the statistical quantity corresponding to a smaller numerical range, for example, it is not necessary to count the statistical quantity T1 corresponding to the numerical range (0, Z1). The reason is that the relative color concentration value in the numerical range (0, Z1) is small, the corresponding color difference of the measured area is small, and the color difference of the display panel has little effect. Therefore, the division of the numerical range does not have to start from zero, for example, starting from 30, the numerical range can be (30, Z1), (Z1, Z2)...(Z6, +∞) in sequence.

[0123] It should be noted that after the color difference characterization value is calculated, the judgment level corresponding to the color difference characterization value can be further divided. When the color difference characterization value is less than a certain value, it is determined that the display panel has no color difference, and when the color difference characterization value is greater than a certain value, it is determined that the display panel has color difference. Different color difference characterization values correspond to different color difference judgment levels. Exemplarily, when ΔZ < 20, it is confirmed that the display panel has no color difference, when 20 ≤ ΔZ < 25, it is confirmed that the display panel has a first level of color difference, when 25 ≤ ΔZ < 30, it is confirmed that the display panel has a second level of color difference, when 30 ≤ ΔZ < 40, it is confirmed that the display panel has a third level of color difference, and when ΔZ ≥ 40, it is confirmed that the display panel has a fourth level of color difference. The higher the color difference level, the greater the color difference of the display panel.

[0124] It should be noted that the embodiments of the present application can be further described in the following manner:

[0125] Figure 7 A flow chart of a method for characterizing color difference of a display panel according to another embodiment of the present application is given. Figure 7As shown, the color coordinates (u, v) of each of the 200 regions to be measured in the display panel are measured. If the directly measured color coordinates are the color coordinates (x, y) in the CIE1931 color gamut, the color coordinates xy need to be converted to the color coordinates (u, v) in the CIE1976 color gamut, and the average color coordinates (u b , v b ) are calculated. The relative hue angle and relative color concentration value of each region to be measured are calculated based on the color coordinates and the average color coordinates. The color code (visual identifier) is determined based on the relative hue angle and relative color concentration value. When determining the color code, the corresponding hue angle difference range is judged according to the relative hue angle, and the corresponding color concentration value difference range is judged according to the relative color concentration value. Finally, the color code is determined and returned. If the color code cannot be determined, a warning error code is given. The program judges the returned color code. If it is determined that the color code conforms to the predetermined format, a 20*10 color cloud map is generated according to the color code. If it is determined that the color code does not conform to the predetermined format, a warning error code is given.

[0126] It should be noted that the method of the embodiment of the present application can be executed by a single device, such as a computer or a server. The method of this embodiment can also be applied to a distributed scenario, and multiple devices cooperate with each other to complete it. In this case of a distributed scenario, one of the multiple devices can only execute one or more steps of the method of the embodiment of the present application, and these multiple devices will interact with each other to complete the described method.

[0127] It should be noted that some embodiments of the present application have been described above. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims can be performed in a different order than in the above embodiments and still achieve the desired results. Additionally, the processes depicted in the figures do not necessarily require the particular order or sequential order shown to achieve the desired results. In certain implementations, multitasking and parallel processing are also possible or may be advantageous.

[0128] Based on the same inventive concept, corresponding to the method of any of the above embodiments, the present application also provides a color difference characterization device for a display panel.

[0129] Referring to Figure 8 , the color difference characterization device for the display panel includes:

[0130] An acquisition module 202, configured to acquire the color information of each of multiple regions to be measured of the display panel;

[0131] A first determination module 204, configured to determine the average color information based on the color information of each region to be measured;

[0132] A second determination module 206, configured to respectively determine color difference information corresponding to each area to be measured according to the color information and the average color information;

[0133] A third determination module 208, configured to determine a visualization identifier corresponding to the color difference information based on a preset visualization mapping relationship;

[0134] A display module 210, configured to display the visualization identifier.

[0135] For convenience of description, when describing the above device, various modules are described separately according to their functions. Of course, when implementing this application, the functions of each module can be implemented in one or more software and / or hardware.

[0136] The device in the above embodiment is used to implement the color difference characterization method of the corresponding display panel in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be elaborated here.

[0137] In some embodiments, the color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes a relative hue angle; the second determination module 206 is further configured to determine the relative hue angle based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates by using an angle algorithm.

[0138] In some embodiments, the color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes a relative color density value; the second determination module 206 is further configured to determine the relative color density value corresponding to the area to be measured based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates by using a distance algorithm.

[0139] In some embodiments, the color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes a relative color density value and a relative hue angle; the second determination module 206 is further configured to determine the relative color density value corresponding to the area to be measured based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates by using a distance algorithm; and determine the relative hue angle based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates by using an angle algorithm.

[0140] In some embodiments, the second determination module 206 is further configured to perform amplification processing on the relative color density value by using an amplification factor.

[0141] In some embodiments, the color information includes luminance information, the average color information includes average luminance information, and the color difference information includes luminance difference information; the second determination module 206 is further configured to determine the luminance difference information based on the luminance information and the average luminance information by using a difference algorithm.

[0142] In some embodiments, the third determination module 208 is further configured to determine, in the visualization mapping relationship, a color difference range corresponding to the color difference information, and obtain a color identifier corresponding to the color difference range as the visualization identifier.

[0143] In some embodiments, the color difference range includes a hue angle difference range and a color concentration value difference range; the third determination module 208 is further configured to obtain a set of color identifiers corresponding to the hue angle difference range; and determine, based on the set of color identifiers, a color identifier corresponding to the color concentration difference range as the visualization identifier.

[0144] In some embodiments, a determination module is further included, and the determination module is configured to determine that a color difference occurs in the area to be measured in response to the color difference level corresponding to the visualization identifier exceeding a preset critical color difference level; and determine that no color difference occurs in the area to be measured in response to the color difference level corresponding to the visualization identifier not exceeding the preset critical color difference level.

[0145] In some embodiments, a calculation module is further included, and the calculation module is configured to calculate a color difference characterization value of the display panel according to the color difference information of each area to be measured.

[0146] In some embodiments, the color difference information includes a relative color concentration value; the calculation module is further configured to determine the statistical quantity of the relative color concentration value corresponding to each numerical range according to a plurality of preset numerical ranges; calculate an average color concentration value according to all the relative color concentration values; and calculate the color difference characterization value according to the statistical quantity and the average color concentration value.

[0147] In some embodiments, the calculation module is further configured to calculate the color difference characterization value according to each statistical quantity, a weighting coefficient corresponding to each statistical quantity one by one, and the average color concentration value; wherein, the value of the weighting coefficient is positively correlated with the value of the numerical range associated with the corresponding statistical quantity.

[0148] Based on the same inventive concept, corresponding to the method of any of the above embodiments, the present application further provides an electronic device, including a memory, a processor, and a computer program stored on the memory and executable on the processor, and when the processor executes the program, it implements the method for characterizing the color difference of the display panel according to any one of the above embodiments.

[0149] Figure 9 FIG. 2 shows a more specific schematic diagram of the hardware structure of the electronic device provided in this embodiment. The device may include: a processor 1010, a memory 1020, an input / output interface 1030, a communication interface 1040, and a bus 1050. Among them, the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040 are communicatively connected to each other inside the device through the bus 1050.

[0150] The processor 1010 may be implemented in a general-purpose CPU (Central Processing Unit), a microprocessor, an application-specific integrated circuit (ASIC), or one or more integrated circuits, etc., and is used to execute relevant programs to implement the technical solutions provided in the embodiments of this specification.

[0151] The memory 1020 may be implemented in the form of a ROM (Read Only Memory), a RAM (Random Access Memory), a static storage device, a dynamic storage device, etc. The memory 1020 may store an operating system and other application programs. When implementing the technical solutions provided in the embodiments of this specification through software or firmware, the relevant program codes are stored in the memory 1020 and are called and executed by the processor 1010.

[0152] The input / output interface 1030 is used to connect to an input / output module to implement information input and output. The input / output module may be configured as a component in the device (not shown in the figure) or externally connected to the device to provide corresponding functions. Among them, the input device may include a keyboard, a mouse, a touch screen, a microphone, various sensors, etc., and the output device may include a display, a speaker, a vibrator, an indicator light, etc.

[0153] The communication interface 1040 is used to connect to a communication module (not shown in the figure) to implement communication interaction between this device and other devices. Among them, the communication module may implement communication in a wired manner (such as USB, network cable, etc.) or in a wireless manner (such as mobile network, WIFI, Bluetooth, etc.).

[0154] The bus 1050 includes a path for transmitting information between various components of the device (such as the processor 1010, the memory 1020, the input / output interface 1030, and the communication interface 1040).

[0155] It should be noted that although the above device only shows the processor 1010, the memory 1020, the input / output interface 1030, the communication interface 1040, and the bus 1050, in the specific implementation process, the device may also include other components necessary for normal operation. In addition, those skilled in the art can understand that the above device may also only include the components necessary to implement the solution of the embodiments of this specification, and does not necessarily include all the components shown in the figure.

[0156] The electronic device of the above embodiment is used to implement the color difference characterization method of the corresponding display panel in any of the foregoing embodiments, and has the beneficial effects of the corresponding method embodiments, which will not be elaborated here.

[0157] Based on the same inventive concept, corresponding to any of the above method embodiments, the present application also provides a non-transitory computer-readable storage medium. The non-transitory computer-readable storage medium stores computer instructions, and the computer instructions are used to cause the computer to execute the color difference characterization method of the display panel as described in any of the foregoing embodiments.

[0158] The computer-readable medium of this embodiment includes permanent and non-permanent, removable and non-removable media, and information storage can be implemented by any method or technology. The information can be computer-readable instructions, data structures, program modules, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, compact disc read-only memory (CD-ROM), digital versatile disc (DVD) or other optical storage, magnetic cassette tapes, magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information accessible by a computing device.

[0159] The computer instructions stored in the storage medium of the above embodiment are used to cause the computer to execute the color difference characterization method of the display panel as described in any of the foregoing embodiments, and have the beneficial effects of the corresponding method embodiments, which will not be elaborated here.

[0160] Those of ordinary skill in the art should understand that: the discussion of any of the above embodiments is only exemplary, and is not intended to imply that the scope of the present application (including the claims) is limited to these examples; under the concept of the present application, the technical features in the above embodiments or different embodiments can also be combined, the steps can be implemented in any order, and there are many other variations in different aspects of the embodiments of the present application as described above, and they are not provided in detail for the sake of brevity.

[0161] In addition, for simplicity of explanation and discussion, and so as not to make the embodiments of the present application difficult to understand, well-known power / ground connections to integrated circuit (IC) chips and other components may or may not be shown in the provided drawings. Further, the devices may be shown in block diagram form in order to avoid making the embodiments of the present application difficult to understand, and this also takes into account the fact that details of the implementation of these block diagram devices are highly dependent on the platform on which the embodiments of the present application are to be implemented (i.e., these details should be fully within the understanding of those skilled in the art). In cases where specific details (such as circuits) are set forth to describe exemplary embodiments of the present application, it will be apparent to those skilled in the art that the embodiments of the present application may be practiced without these specific details or with variations of these specific details. Accordingly, these descriptions should be regarded as illustrative rather than restrictive.

[0162] Although the present application has been described in connection with specific embodiments thereof, many alternatives, modifications, and variations of these embodiments will be apparent to those of ordinary skill in the art in light of the foregoing description. For example, other memory architectures (such as dynamic RAM (DRAM)) may be used with the embodiments discussed.

[0163] Embodiments of the present application are intended to cover all such alternatives, modifications, and variations that fall within the broad scope of the appended claims. Accordingly, any omissions, modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of the embodiments of the present application shall be included within the protection scope of the present application.

Claims

1. A method for characterizing color difference of a display panel, characterized in that Including: Obtaining color information of each of multiple regions to be measured on a display panel; Determining average color information based on the color information of each region to be measured; Respectively determining color difference information corresponding to each region to be measured according to the color information and the average color information; Determining a visual identifier corresponding to the color difference information based on a preset visual mapping relationship; Displaying the visual identifier.

2. The method according to claim 1, wherein The color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes relative hue angles; The step of respectively determining color difference information corresponding to each region to be measured according to the color information and the average color information includes: Using an angular algorithm to determine the relative hue angle based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates.

3. The method according to claim 1, characterized in that, The color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes relative color density values; The step of respectively determining color difference information corresponding to each region to be measured according to the color information and the average color information includes: Using a distance algorithm to determine the relative color density value corresponding to the region to be measured based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates.

4. The method according to claim 1, characterized in that The color information includes color coordinates, the average color information includes average color coordinates, and the color difference information includes relative color density values and relative hue angles; The step of respectively determining color difference information corresponding to each region to be measured according to the color information and the average color information includes: Using a distance algorithm to determine the relative color density value corresponding to the region to be measured based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates; Using an angular algorithm to determine the relative hue angle based on the coordinate values of the color coordinates and the coordinate values of the average color coordinates.

5. The method according to claim 3 or 4, characterized in that, The method further includes: Performing amplification processing on the relative color density value using an amplification factor.

6. The method according to claim 1, wherein The color information includes brightness information, the average color information includes average brightness information, and the color difference information includes brightness difference information; The step of respectively determining color difference information corresponding to each region to be measured according to the color information and the average color information includes: Using a difference algorithm to determine the brightness difference information based on the brightness information and the average brightness information.

7. The method according to claim 1, characterized in that, The step of determining a visual identifier corresponding to the color difference information based on a preset visual mapping relationship includes: In the visual mapping relationship, determining a color difference range corresponding to the color difference information, and obtaining a color identifier corresponding to the color difference range as the visual identifier.

8. The method according to claim 7, wherein The color difference range includes a hue angle difference range and a color density value difference range; The step of obtaining a color identifier corresponding to the color difference range as the visual identifier includes: Obtaining a set of color identifiers corresponding to the hue angle difference range; Based on the set of color identifiers, determining a color identifier corresponding to the color density difference range as the visual identifier.

9. The method according to claim 1, wherein The method further includes: In response to the color difference level corresponding to the visual identifier exceeding a preset critical color difference level, determining that a color difference occurs in the region to be measured; In response to the color difference level corresponding to the visual identification not exceeding a preset critical color difference level, it is determined that no color difference appears in the area to be measured.

10. The method according to claim 1, wherein The method further includes: Calculating a color difference characterization value of the display panel according to the color difference information of each area to be measured.

11. The method according to claim 10, characterized in that The color difference information includes a relative color concentration value; the calculating the color difference characterization value of the display panel according to the color difference information of each area to be measured includes: Determining the statistical quantity of the relative color concentration value corresponding to each numerical range according to a plurality of preset numerical ranges; Calculating an average color concentration value according to all the relative color concentration values; Calculating the color difference characterization value according to the statistical quantity and the average color concentration value.

12. The method according to claim 11, wherein The calculating the color difference characterization value according to the statistical quantity and the average color concentration value includes: Calculating the color difference characterization value according to each statistical quantity, a weighting coefficient corresponding one-to-one to each statistical quantity, and the average color concentration value; wherein, the value of the weighting coefficient is positively correlated with the value of the numerical range associated with the corresponding statistical quantity.

13. A color difference characterization device for a display panel, characterized in that Includes: An acquisition module configured to acquire the color information of each area to be measured in a plurality of areas to be measured of a display panel; A first determination module configured to determine average color information based on the color information of each area to be measured; A second determination module configured to respectively determine the color difference information corresponding to each area to be measured according to the color information and the average color information; A third determination module configured to determine a visual identification corresponding to the color difference information based on a preset visual mapping relationship; A display module configured to display the visual identification.

14. An electronic device, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, characterized in that, When the processor executes the program, the method described in any one of claims 1 to 12 is implemented.

15. A non-transitory computer-readable storage medium storing computer instructions, characterized in that, The computer instructions are used to cause a computer to execute the method described in any one of claims 1 to 12.

16. A computer program product, including computer program instructions, when the computer program instructions run on a computer, causing the computer to execute the method described in any one of claims 1 to 12.

Images