Evaluation methods and devices for readable storage media and display panels

Abstract

This disclosure relates to a readable storage medium, an evaluation method and apparatus for a display panel, and pertains to the field of display technology. The evaluation method includes: under a test screen, acquiring the grayscale of each sub-pixel in n original detection areas and a reference detection area of ​​each original detection area in each display area, resulting in n original grayscale matrices and a reference grayscale matrix for each original grayscale matrix; each original detection area and reference detection area includes m sub-pixels, and any original detection area shares some sub-pixels with its reference detection area; n and m are positive integers greater than 1. The difference between each original grayscale matrix and its reference grayscale matrix is ​​calculated to obtain a grayscale difference matrix, which includes multiple grayscale difference values. The standard deviation of the grayscale difference values ​​in each grayscale difference matrix is ​​calculated. The maximum value among the standard deviations of the differences in each grayscale difference matrix is ​​used as the uniformity evaluation value.

Description

Technical Field

[0001] This disclosure relates to the field of display technology, and more specifically, to a readable storage medium, a method for evaluating a display panel, and an evaluation device. Background Technology

[0002] Display panels are widely used in electronic devices such as televisions and mobile phones. Due to limitations in manufacturing processes, display panels are prone to abnormal patterns such as cloudiness and graininess, and their brightness uniformity still needs improvement. Currently, before products leave the factory or during trial production, the uniformity of display panels is mainly evaluated by manual observation, which is inefficient.

[0003] It should be noted that the information disclosed in the background section above is only used to enhance the understanding of the background of this disclosure, and therefore may include information that does not constitute prior art known to those skilled in the art. Summary of the Invention

[0004] This disclosure provides a readable storage medium, a method and device for evaluating a display panel, and a driving method, which can improve the efficiency of uniformity evaluation.

[0005] According to one aspect of this disclosure, a method for evaluating a display panel is provided, the display panel including a display area and a peripheral area outside the display area; the display area having a plurality of sub-pixels arrayed along row and column directions; the evaluation method includes:

[0006] In the test screen, the gray levels of each sub-pixel in each of the n original detection areas and the reference detection area of ​​each original detection area are obtained to obtain n original gray level matrices and a reference gray level matrix for each original gray level matrix; each of the original detection areas and the reference detection areas includes m sub-pixels, and any original detection area and its reference detection area share some of the sub-pixels; n and m are positive integers greater than 1;

[0007] The difference between each original grayscale matrix and its reference grayscale matrix is ​​calculated to obtain a grayscale difference matrix, which includes multiple grayscale difference values.

[0008] Calculate the standard deviation of the gray level difference values ​​for each of the gray level difference matrices;

[0009] The maximum value among the standard deviations of the differences in each grayscale difference matrix is ​​taken as the uniformity evaluation value.

[0010] In one exemplary embodiment of this disclosure, each of the original detection regions has a plurality of the reference detection regions, and each of the reference detection regions is uniformly distributed around the center of the original detection region.

[0011] In one exemplary embodiment of this disclosure, each of the original detection areas has four of the reference detection areas, wherein two of the reference detection areas extend toward both sides of the original detection area along the row direction, and the other two of the reference detection areas extend toward both sides of the original detection area along the column direction.

[0012] In one exemplary embodiment of this disclosure, at least one row or column of sub-pixels of the reference detection area is located outside its original detection area, and at least one row or column of sub-pixels of the original detection area is located outside at least one reference detection area.

[0013] In one exemplary embodiment of this disclosure, the display area includes an effective area and an edge area surrounding the effective area; the distance between the boundary of the effective area and the boundary of the edge area in the column direction is 1 / 10 to 1 / 15 of the length of the display area in the row direction; the distance between the boundary of the effective area and the boundary of the edge area in the column direction is 1 / 10 to 1 / 15 of the length of the display area in the column direction.

[0014] Each of the original detection areas and its reference detection area is located in the effective area.

[0015] In one exemplary embodiment of this disclosure, n = 25 and m = 100.

[0016] In one exemplary embodiment of this disclosure, the grayscale of each sub-pixel in each of the n original detection areas in each display area and in the reference detection area of ​​each original detection area is obtained; including:

[0017] Detect the brightness of the sub-pixels in the test image;

[0018] The brightness of a reference area within the display area is taken as the reference brightness, and the grayscale of the sub-pixels in the original detection area and the reference detection area is determined based on the reference brightness, the brightness of the sub-pixels in the original detection area and the reference detection area.

[0019] In one exemplary embodiment of this disclosure, the reference area is located at the center of the display area.

[0020] In one exemplary embodiment of this disclosure, the reference brightness, the brightness and grayscale of the sub-pixels within the original detection area and its reference detection area satisfy the following relationship:

[0021]

[0022] g represents the gray level of the sub-pixels within the original detection area and its reference detection area;

[0023] Lv represents the brightness of the sub-pixels within the original detection area and its reference detection area;

[0024] Lmax is the reference luminance; 0 < k ≤ 255; γ is a constant.

[0025] In one exemplary embodiment of this disclosure, γ = 2.2, 127 ≤ k < 255.

[0026] According to one aspect of this disclosure, an evaluation device for a display panel is provided, the display panel including a display area and a peripheral area outside the display area; the display area having a plurality of sub-pixels arrayed along a row direction and a column direction; the evaluation device includes a processing device, the processing device comprising:

[0027] The acquisition unit is used to acquire, under the test screen, the grayscale of each sub-pixel in each of the n original detection areas and the reference detection area of ​​each original detection area, to obtain n original grayscale matrices and a reference grayscale matrix for each original grayscale matrix; each of the original detection areas and the reference detection areas includes m sub-pixels, and any original detection area and its reference detection area share some of the sub-pixels; n and m are positive integers greater than 1;

[0028] The first calculation unit is used to calculate the difference between each of the original gray-level matrices and its reference gray-level matrix to obtain a gray-level difference matrix, wherein the gray-level difference matrix includes multiple gray-level difference values.

[0029] The second calculation unit is used to calculate the standard deviation of the difference between gray levels in each of the gray level difference matrices;

[0030] The output unit is used to take the maximum value of the standard deviation of the difference between each gray level difference matrix as the uniformity evaluation value.

[0031] In one exemplary embodiment of this disclosure, each of the original detection regions has a plurality of the reference detection regions, and each of the reference detection regions is uniformly distributed around the center of the original detection region.

[0032] In one exemplary embodiment of this disclosure, the evaluation device further includes:

[0033] An image acquisition device is used to detect the brightness of the sub-pixels in the test image;

[0034] The acquisition unit is used to take the brightness of a reference area within the display area as the reference brightness, and determine the grayscale of the sub-pixels in the original detection area and the reference detection area based on the reference brightness and the brightness of the sub-pixels in the original detection area and the reference detection area.

[0035] In one exemplary embodiment of this disclosure, the reference brightness, the brightness and grayscale of the sub-pixels within the original detection area and its reference detection area satisfy the following relationship:

[0036]

[0037] g represents the gray level of the sub-pixels within the original detection area and its reference detection area;

[0038] Lv represents the brightness of the sub-pixels within the original detection area and its reference detection area;

[0039] Lmax is the reference luminance; 0 < k ≤ 255; γ is a constant.

[0040] According to one aspect of this disclosure, a readable storage medium is provided having a computer program stored thereon, which, when executed, implements the evaluation method described in any of the preceding claims.

[0041] The readable storage medium, the evaluation method and device for display panels disclosed herein establish an objective standard for evaluating the brightness uniformity of display panels, namely a uniformity evaluation value. This uniformity evaluation value can be used to evaluate the brightness uniformity of the display panel. The smaller the uniformity evaluation value, the higher the uniformity and the more uniform the brightness; the larger the uniformity evaluation value, the lower the uniformity and the less uniform the brightness. Therefore, it can replace manual evaluation and help improve work efficiency.

[0042] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and are not intended to limit this disclosure. Attached Figure Description

[0043] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this disclosure and, together with the description, serve to explain the principles of this disclosure. It is obvious that the drawings described below are merely some embodiments of this disclosure, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort.

[0044] Figure 1 This is a flowchart of one implementation method of the evaluation method disclosed herein.

[0045] Figure 2 This is a schematic diagram of the original detection area and the reference detection area in one embodiment of the evaluation method of this disclosure.

[0046] Figure 3 for Figure 2 A magnified view of a portion of the image.

[0047] Figure 4 This is a verification diagram of one implementation method of the evaluation method disclosed herein.

[0048] Figure 5 This is a schematic diagram of one embodiment of the evaluation device disclosed herein. Detailed Implementation

[0049] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the exemplary embodiments to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore detailed descriptions of them will be omitted. Furthermore, the drawings are merely illustrative of this disclosure and are not necessarily drawn to scale.

[0050] The terms “a,” “one,” “the,” “the,” and “at least one” are used to indicate the presence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended inclusion and to mean that there may be other elements / components / etc. in addition to the listed elements / components / etc.; the terms “first” and “second” are used only as markers and are not a limitation on the number of objects.

[0051] This disclosure provides a method for evaluating a display panel, which can be a television, mobile phone, tablet computer, electronic whiteboard, electronic drawing screen, computer monitor, etc. Figure 2 As shown, the display panel may include a display area AA and a peripheral area WA located outside the display area AA. The peripheral area WA may be a continuous annular area surrounding the display area AA, or it may be a discontinuous area surrounding the display area AA.

[0052] The display panel may include multiple sub-pixels, and each sub-pixel may be distributed in an array along the row direction X and the column direction Y; at the same time, the sub-pixels of the display panel may be divided into multiple pixels, and each pixel may include multiple sub-pixels with different emission colors.

[0053] The display panel can be a self-emissive panel, such as an OLED (Organic Light Emitting Diode) display panel, or a Micro LED (Micron Light Emitting Diode) panel or a Mini LED (Submillimeter Light Emitting Diode) panel; it can also be a QLED (Quantum Dot Diode) display panel, etc. A subpixel can include a light-emitting device, which can be one of the aforementioned OLED, Micro LED, or Mini LED, or it can be a QLED, etc. Of course, the display panel can also be a liquid crystal display panel.

[0054] To test the uniformity of the display panel, a preset test screen can be displayed on the panel. This test screen is a white screen, and the grayscale input to each sub-pixel is the same, meaning that each sub-pixel should display the same brightness and the same grayscale. However, due to limitations such as manufacturing process and signal attenuation, the actual brightness of the sub-pixels may vary and is not completely consistent, causing abnormal patterns such as cloudiness or dots on the screen, affecting image quality.

[0055] Before a display panel leaves the factory or during trial production, products with acceptable uniformity can be screened out through manual inspection. However, to observe the aforementioned abnormal patterns, the viewing distance between the human eye and the display panel must be within 10cm, and the viewing time must exceed 1 second, which is difficult and inconsistent in terms of standards. Therefore, the inventors propose to replace manual observation by detecting the brightness of the display panel and establishing an index for evaluating uniformity. Figure 1 As shown, the evaluation method may include steps S110-S140, wherein:

[0056] Step S110: Under the test screen, obtain the gray levels of each sub-pixel in each of the n original detection areas and the reference detection area of ​​each original detection area, to obtain n original gray level matrices and a reference gray level matrix for each original gray level matrix; each original detection area and the reference detection area include m sub-pixels, and any original detection area and its reference detection area share some sub-pixels; n and m are positive integers greater than 1;

[0057] Step S120: Calculate the difference between each original grayscale matrix and its reference grayscale matrix to obtain the grayscale difference matrix, which includes multiple grayscale difference values.

[0058] Step S130: Calculate the standard deviation of the difference between gray levels in each gray level difference matrix;

[0059] Step S140: Take the maximum value of the standard deviation of the difference between each gray level difference matrix as the uniformity evaluation value.

[0060] The evaluation method of this disclosure establishes an objective standard for evaluating the uniformity of brightness of a display panel, namely, a uniformity evaluation value. This uniformity evaluation value can be used to evaluate the uniformity of brightness of the display panel. The smaller the uniformity evaluation value, the higher the uniformity and the more uniform the brightness. The larger the uniformity evaluation value, the lower the uniformity and the less uniform the brightness. That is, the uniformity evaluation value is positively correlated with uniformity, which can replace manual evaluation and help improve work efficiency.

[0061] The following is a detailed explanation of each step in the evaluation method:

[0062] like Figure 2 and Figure 3As shown, in step S110, the test screen can be a white screen, which makes the gray levels of each sub-pixel the same. Of course, other test screens can also be used. To improve efficiency, the gray levels of some sub-pixels in the display panel can be sampled and processed instead of processing the gray levels of all sub-pixels. Specifically, n original detection areas TA can be divided into n original detection areas TA along the row direction X and column direction Y in the display area AA. Each original detection area TA has m sub-pixels. The n original detection areas TA can be arranged in multiple rows and columns, and within the original detection area TA, the m sub-pixels can form multiple rows and columns along the row direction X and column direction Y. n and m are both positive integers and greater than 1.

[0063] In some embodiments of this disclosure, for example, n=25 and m=100, that is, the number of original detection regions (TAs) is 25, and the number of sub-pixels in each original detection region (TA) is 100. Simultaneously, each original detection region (TA) can be arranged in 5 rows and 5 columns, and the sub-pixels in each original detection region (TA) can form 10 rows and 10 columns.

[0064] like Figure 2 and Figure 3 As shown, based on n original detection areas TA, at least one reference detection area BA can be set in the display area AA for each original detection area TA. Each reference detection area BA includes m sub-pixels, that is, the number of sub-pixels in the reference detection area BA is the same as the number of sub-pixels in the original detection area TA. At the same time, any original detection area TA and its reference detection area BA share some sub-pixels. That is, some sub-pixels of an original detection area TA also belong to the reference detection area BA of that original detection area TA. That is, there is an overlapping area between the reference detection area BA and the original detection area TA, but they do not completely overlap. For example, at least one row or one column of sub-pixels of the reference detection area BA is located outside its original detection area TA, and at least one row or one column of sub-pixels of the original detection area TA is located outside at least one of its reference detection areas BA.

[0065] In some embodiments of this disclosure, each original detection area TA has multiple reference detection areas BA, and each reference detection area BA is evenly distributed around the center of the original detection area TA; wherein, in some embodiments, each original detection area TA has four reference detection areas BA, two of which extend along the row direction X toward both sides of the original detection area TA, which can be regarded as the original detection area TA being translated a certain distance along the row direction X, and the other two reference detection areas BA extend along the column direction Y toward both sides of the original detection area TA, which can be regarded as the original detection area TA being translated along the column direction Y.

[0066] like Figure 2 and Figure 3As shown, for example, two reference detection areas BA distributed along the row direction X can be defined as the first reference detection area BA1 and the second reference detection area BA2. Each of the first and second reference detection areas BA1 and BA2 has one column of sub-pixels located outside its original detection area TA. Correspondingly, the original detection area TA has one column of sub-pixels located outside the first reference detection area BA1, and another column of sub-pixels located outside the second reference detection area BA2. Similarly, two reference detection areas BA1 distributed along the column direction Y can be defined as the third reference detection area BA3 and the fourth reference detection area BA4. Each of the third and fourth reference detection areas BA3 and BA4 has one row of sub-pixels located outside its original detection area TA. Correspondingly, the original detection area TA has one row of sub-pixels located outside the third reference detection area BA3, and another row of sub-pixels located outside the fourth reference detection area BA4. In other words, two reference detection areas BA1 distributed along the row direction X can be obtained by shifting the original detection area TA by one sub-pixel along the row direction X, and two reference detection areas BA1 distributed along the column direction Y can be obtained by shifting the original detection area TA by one sub-pixel along the column direction Y.

[0067] In some embodiments of this disclosure, the reference detection areas BA of different original detection areas TA are different, and the reference detection areas BA belonging to different original detection areas TA do not overlap, that is, the reference detection areas BA belonging to different original detection areas TA do not share any sub-pixels; in this way, there are at least two rows of sub-pixels that do not belong to the two original detection areas TA between two adjacent original detections in the row direction X, and at least two columns of sub-pixels that do not belong to the two original detection areas TA between two adjacent original detections in the column direction Y.

[0068] The original detection area TA and the reference detection area BA in this paper may not have visually observable entity boundaries. Their purpose is to select sub-pixels within the display area AA. The range of an original detection area TA and a reference detection area BA is actually the range of m sub-pixels.

[0069] like Figure 2 As shown, in order to eliminate the influence of irregularly shaped areas such as the curved areas at the corners of the display panel and the opening areas for devices such as cameras, the display area AA can be further divided to avoid irregularly shaped areas when acquiring grayscale. In some embodiments of this disclosure, the display area AA includes an effective area A1 and an edge area A2 surrounding the effective area A1. The distance between the boundary of the effective area A1 and the boundary of the edge area A2 in the row direction X is 1 / 10 to 1 / 15 of the length of the display area AA in the row direction X, and the distance between the boundary of the effective area A1 and the boundary of the edge area A2 in the column direction Y is 1 / 10 to 1 / 15 of the length of the display area AA in the column direction Y. The edge area A2 is a ring-shaped area surrounding the effective area A1 within the display area AA.

[0070] For example, the display area AA is rectangular, and the effective area A1 is located within the display area AA and is also rectangular. The display area AA has two first sides extending along the row direction X and two second sides extending along the column direction Y; the effective area A1 has two third sides extending along the row direction X and two fourth sides extending along the column direction Y; the width of the area of ​​the aforementioned edge area A2 located on the first and third sides is 1 / 10 to 1 / 15 of the distance between the two first sides; the width of the area of ​​the edge area A2 located on the second and fourth sides is 1 / 10 to 1 / 15 of the distance between the two second sides.

[0071] The aforementioned irregular region can be located within the edge region A2, but not within the effective region A1. Each original detection region TA and its reference detection region BA are located within the effective region A1, but not within the edge region A2. This avoids the original detection region TA and its reference detection region BA from coinciding with the irregular region, ensuring that the amount of grayscale data between different original detection regions TA and the amount of grayscale data with the reference detection region BA are consistent, facilitating subsequent processing.

[0072] When acquiring grayscale, the test image can be displayed on the display panel to acquire the grayscale of each sub-pixel in each original detection area (TA), resulting in n original grayscale matrices. Each original grayscale matrix includes the grayscale of each sub-pixel in one original detection area (TA). Simultaneously, the grayscale of each sub-pixel in each reference detection area (BA) can be acquired, resulting in n reference grayscale matrices. Each reference grayscale matrix includes the grayscale of each sub-pixel in one reference detection area (BA). Since the original detection area (TA) and its reference areas share some sub-pixels, some grayscale levels in both the original and reference grayscale matrices originate from the same sub-pixels. Therefore, these grayscale levels are identical, but their positions in the original and reference grayscale matrices are different.

[0073] The following is an example illustrating the specific method for obtaining the grayscale of a sub-pixel:

[0074] In some embodiments of this disclosure, step S110 may include steps S1110 and S1120, wherein:

[0075] Step S1110: Detect the brightness of the sub-pixels under the test screen.

[0076] like Figure 5As shown, the test image can be captured by the image acquisition device 20. After processing the captured initial data, the brightness of the sub-pixels can be obtained. The image acquisition device may include a lens, an image sensor, etc., and its structure is not specifically limited here. Furthermore, in step S1110, the brightness of all sub-pixels in the display area AA can be acquired, or the brightness of the sub-pixels in the effective area A1 mentioned above can be acquired, which is beneficial to improving operating efficiency.

[0077] Step S1120: A local area within the display area AA can be defined as a reference area, and the brightness of the reference area can be defined as the reference brightness; the grayscale of the sub-pixels in the original detection area TA and the reference detection area BA can be determined based on the reference brightness, the brightness of the sub-pixels in the original detection area TA and the reference detection area BA.

[0078] The reference area can be the range of a single sub-pixel, and correspondingly, the reference brightness is the brightness of that sub-pixel. Alternatively, the reference area can be the range of multiple adjacent sub-pixels; correspondingly, the reference brightness can be the brightness of any sub-pixel within its range or the average brightness of all sub-pixels. In some embodiments, the reference area can be located at the center of the display area AA, i.e., the center of the display area AA is located within the reference area; of course, the centers of the two can coincide. If the center of the display area AA is located at a single sub-pixel, then the reference area is that sub-pixel, and the reference brightness is the brightness of that sub-pixel. If the center of the display area AA is located in the area between sub-pixels, then the reference area can include multiple sub-pixels adjacent to the center of the display area AA, and the reference brightness can be the brightness of any one of the sub-pixels or the average brightness of all sub-pixels.

[0079] The aforementioned reference brightness can be used as a benchmark to convert the brightness of sub-pixels within the original detection area TA and its reference detection area BA into grayscale. First, the grayscale of the reference brightness can be calibrated, and a reduction in grayscale can be defined as one grayscale level. For example, the reference brightness can be calibrated to any grayscale level between 0 and 255. Then, according to the conversion relationship, the brightness of other sub-pixels can be converted into grayscale, as follows:

[0080]

[0081] g represents the grayscale of the sub-pixels within the original detection area TA and its reference detection area BA;

[0082] Lv represents the brightness of the sub-pixels within the original detection area TA and its reference detection area BA;

[0083] Lmax is the reference luminance; 0 < k ≤ 255; γ is a constant.

[0084] Since the brightness of different areas in the display panel may vary, and the reference brightness may not be the maximum brightness in the display area AA, if k is set to 255, that is, the reference brightness is calibrated to 255 gray levels, the gray levels of other sub-pixels with higher brightness may exceed 255, causing data overflow. Therefore, 127 ≤ k < 255 can be made to avoid the situation where the converted gray level is greater than 255. Furthermore, k = 127 can be made.

[0085] γ can be 2.2. Of course, in other implementations, γ can also be any one of 1.8, 2.0, 2.4 and 2.6, or 1.0 or 3.0, depending on the screen preference.

[0086] The derivation process of the above transformation relationship is explained below:

[0087] For a display panel, any two brightness levels and their corresponding gray levels satisfy the following relationship:

[0088]

[0089] L1 and L2 are the brightness of any two sub-pixels, g1 is the gray level corresponding to the brightness of L1, and g2 is the gray level corresponding to the brightness of L2; γ is the gamma value, which is a constant.

[0090] Once the reference brightness has been determined and its grayscale has been calibrated, the following relationship can be derived based on the correspondence mentioned above:

[0091]

[0092] g max Let k be a variable, and after transformation, we can obtain the transformation relationship mentioned above.

[0093] In step S130, each original grayscale matrix can be subtracted from its reference grayscale matrix to obtain at least one grayscale difference matrix. Each value in the grayscale difference matrix is ​​the difference between the grayscale of two sub-pixels. For example, the grayscale difference in the i-th row and j-th column of a grayscale difference matrix is ​​the difference between the grayscale of the sub-pixel in the i-th row and j-th column of the original detection area TA and the grayscale of the sub-pixel in the i-th row and j-th column of a reference detection area BA.

[0094] If an original detection area TA has multiple reference detection areas BA, then subtracting an original grayscale matrix from each of the multiple reference detection areas BA will yield multiple grayscale difference matrices. As mentioned in the previous implementation method, each original detection area TA has 4 reference detection areas BA, and an original grayscale matrix and its reference grayscale matrices can yield 4 grayscale difference matrices. Correspondingly, n original detection areas TA can yield n original grayscale matrices and 4n reference grayscale matrices, and 4n grayscale difference matrices can be obtained.

[0095] In step S140, the standard deviation of the gray level difference in each gray level difference matrix can be calculated to obtain the difference standard deviation; if there are n gray level difference matrices, then n difference standard deviations can be obtained. A difference standard deviation can reflect the degree of dispersion of the gray level difference between an original detection area TA and its surroundings. The larger the difference standard deviation, the lower the uniformity of the brightness of the original detection area TA.

[0096] In step S150, the maximum value of the standard deviation of the differences between each grayscale difference matrix can be selected as the uniformity evaluation value of the display panel. That is, the uniformity evaluation value is actually a standard deviation. The smaller the uniformity evaluation value, the higher the uniformity.

[0097] Step S150 can be expressed as the following formula:

[0098] P = max(δ1, δ2, δ3…δ) n );

[0099] P is the uniformity evaluation value, δ1, δ2, δ3…δ n Let n be the standard deviations of the differences.

[0100] In addition, one or more thresholds can be set for the uniformity evaluation value, and multiple intervals can be set for the uniformity evaluation value, thereby classifying the uniformity of the display panel.

[0101] Based on the evaluation method described above, an objective standard for evaluating the uniformity of display panels, namely the uniformity evaluation value, is established. The uniformity of the display panel can then be assessed based on the magnitude of this value. Specifically, since the standard deviation of the difference reflects the dispersion of the grayscale difference matrix, which is derived from the original grayscale matrix and its reference grayscale matrix, this method considers not only the grayscale of the sub-pixels themselves but also the grayscale differences between sub-pixels, thus improving the accuracy of the evaluation results. Furthermore, this evaluation method uses grayscale as the basic data for calculation, rather than brightness. By selecting the gamma value γ, it can adapt to the different sensitivities of the human eye to brightness and darkness, resulting in a uniformity evaluation result that is more adapted to the characteristics of the human eye.

[0102] The same display panel and the same test screen can be used. Subjective judgment can be made manually, and objective judgment can be made using the evaluation method described above. The subjective judgment Lv represents the uniformity rating, ranging from L0 to L10, with uniformity decreasing sequentially, meaning L0 has the highest uniformity. A lower uniformity rating indicates higher uniformity. The accuracy of the evaluation method disclosed herein is verified through manual judgment, as detailed in the table below. Figure 4 The following is stated:

[0103] L0 <1.239355 L1 1.240456 L2 1.242358 L3 1.884566 L4 2.520078 L5 2.962231 L6 3.465477 L7 3.857746 L8 4.445776 L9 4.762341 L10 5.012246

[0104] It can be seen that the results of subjective judgment are consistent with the results of the evaluation method disclosed herein.

[0105] It should be noted that although the steps of the evaluation method in this disclosure are described in a specific order in the accompanying drawings, this does not require or imply that these steps must be performed in that specific order, or that all the steps shown must be performed to achieve the desired result. Additional or alternative steps may be omitted, multiple steps may be combined into one step, and / or one step may be broken down into multiple steps.

[0106] Embodiments of this disclosure also provide an evaluation device for a display panel, such as... Figure 5 As shown, the evaluation device includes a processing unit 10, which includes an acquisition unit 1, a first calculation unit 2, a second calculation unit 3, and an output unit 4, wherein:

[0107] The acquisition unit 1 is used to acquire the gray levels of each sub-pixel in each of the n original detection areas TA and the reference detection area BA of each original detection area TA in each display area under the test screen, so as to obtain n original gray level matrices and a reference gray level matrix for each original gray level matrix; each original detection area TA and the reference detection area BA includes m sub-pixels, and any original detection area TA and its reference detection area BA share some sub-pixels; n and m are positive integers greater than 1;

[0108] The first calculation unit 2 is used to calculate the difference between each original gray-level matrix and its reference gray-level matrix to obtain a gray-level difference matrix, which includes multiple gray-level difference values.

[0109] The second calculation unit 3 is used to calculate the standard deviation of the difference between gray levels in each gray level difference matrix;

[0110] Output unit 4 is used to take the maximum value of the standard deviation of the difference between each gray level difference matrix as the uniformity evaluation value.

[0111] like Figure 5 As shown, in some embodiments of this disclosure, the evaluation device further includes an image acquisition device 20, which can be used to detect the brightness of sub-pixels under the test screen.

[0112] The details of the evaluation equipment have been described above. For specific implementation methods of the evaluation method described above, please refer to the above description. They will not be elaborated further here.

[0113] This disclosure also provides a readable storage medium having a computer program stored thereon, which, when executed, implements the evaluation method of any of the embodiments described above. This evaluation method can be referred to in the embodiments of the evaluation method described above, and will not be detailed here. The program code contained on the readable storage medium can be transmitted using any suitable medium, including but not limited to wireless, wired, optical fiber, RF, etc., or any suitable combination thereof. The readable storage medium can be, but is not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of readable storage media (a non-exhaustive list) include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0114] Other embodiments of this disclosure will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this disclosure that follow the general principles of this disclosure and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this disclosure are indicated by the appended claims.

Claims

1. A method for evaluating a display panel, characterized in that, The display panel includes a display area and a peripheral area outside the display area; the display area has a plurality of sub-pixels arranged in an array along the row and column directions; the evaluation method includes: In the test screen, the gray levels of each sub-pixel in each of the n original detection areas and the reference detection area of ​​each original detection area are obtained to obtain n original gray level matrices and a reference gray level matrix for each original gray level matrix; each original detection area and the reference detection area include m sub-pixels, and any original detection area and its reference detection area share some of the sub-pixels; n and m are positive integers greater than 1; The difference between each original grayscale matrix and its reference grayscale matrix is ​​calculated to obtain a grayscale difference matrix, which includes multiple grayscale difference values. Calculate the standard deviation of the gray level difference values ​​for each of the gray level difference matrices; The maximum value among the standard deviations of the differences in each grayscale difference matrix is ​​taken as the uniformity evaluation value.

2. The evaluation method according to claim 1, characterized in that, Each of the original detection areas has a plurality of reference detection areas, and each of the reference detection areas is evenly distributed around the center of the original detection area.

3. The evaluation method according to claim 2, characterized in that, Each of the original detection areas has four reference detection areas, wherein two of the reference detection areas extend toward both sides of the original detection area along the row direction, and the other two of the reference detection areas extend toward both sides of the original detection area along the column direction.

4. The evaluation method according to claim 1, characterized in that, At least one row or column of sub-pixels in the reference detection area is located outside its original detection area, and at least one row or column of sub-pixels in the original detection area is located outside at least one reference detection area.

5. The evaluation method according to claim 1, characterized in that, The display area includes an active area and an edge area surrounding the active area; the distance between the boundary of the active area and the boundary of the edge area in the column direction is 1 / 10 to 1 / 15 of the length of the display area in the row direction; the distance between the boundary of the active area and the boundary of the edge area in the column direction is 1 / 10 to 1 / 15 of the length of the display area in the column direction. Each of the original detection areas and its reference detection area is located in the effective area.

6. The evaluation method according to claim 1, characterized in that, n = 25, m = 100.

7. The evaluation method according to claim 1, characterized in that, Obtain the grayscale of each sub-pixel in each of the n original detection areas in each of the aforementioned display areas and in the reference detection area of ​​each original detection area; including: Detect the brightness of the sub-pixels in the test image; The brightness of a reference area within the display area is taken as the reference brightness, and the grayscale of the sub-pixels in the original detection area and the reference detection area is determined based on the reference brightness, the brightness of the sub-pixels in the original detection area and the reference detection area.

8. The evaluation method according to claim 7, characterized in that, The reference area is located at the center of the display area.

9. The evaluation method according to claim 7, characterized in that, The reference brightness, the brightness and grayscale of the sub-pixels in the original detection area and its reference detection area satisfy the following relationship: g represents the gray level of the sub-pixels within the original detection area and its reference detection area; Lv represents the brightness of the sub-pixels within the original detection area and its reference detection area; Lmax is the reference luminance; 0 < k ≤ 255; γ is a constant.

10. The evaluation method according to claim 9, characterized in that, γ = 2.2, 127 ≤ k < 255.

11. An evaluation device for a display panel, characterized in that, The display panel includes a display area and a peripheral area outside the display area; the display area has a plurality of sub-pixels arrayed along the row and column directions; the evaluation device includes a processing unit, the processing unit comprising: The acquisition unit is used to acquire, under the test screen, the grayscale of each sub-pixel in each of the n original detection areas and the reference detection area of ​​each original detection area, to obtain n original grayscale matrices and a reference grayscale matrix for each original grayscale matrix; each of the original detection areas and the reference detection areas includes m sub-pixels, and any original detection area and its reference detection area share some of the sub-pixels; n and m are positive integers greater than 1; The first calculation unit is used to calculate the difference between each of the original gray-level matrices and its reference gray-level matrix to obtain a gray-level difference matrix, wherein the gray-level difference matrix includes multiple gray-level difference values. The second calculation unit is used to calculate the standard deviation of the difference between the gray levels of each gray level difference matrix; The output unit is used to take the maximum value of the standard deviation of the difference between each gray level difference matrix as the uniformity evaluation value.

12. The evaluation device according to claim 11, characterized in that, Each of the original detection areas has a plurality of reference detection areas, and each of the reference detection areas is evenly distributed around the center of the original detection area.

13. The evaluation device according to claim 11, characterized in that, The evaluation equipment also includes: An image acquisition device is used to detect the brightness of the sub-pixels under the test image; The acquisition unit is used to take the brightness of a reference area within the display area as the reference brightness, and determine the grayscale of the sub-pixels in the original detection area and the reference detection area based on the reference brightness and the brightness of the sub-pixels in the original detection area and the reference detection area.

14. The evaluation device according to claim 13, characterized in that, The reference brightness, the brightness and grayscale of the sub-pixels in the original detection area and its reference detection area satisfy the following relationship: g represents the gray level of the sub-pixels within the original detection area and its reference detection area; Lv represents the brightness of the sub-pixels within the original detection area and its reference detection area; Lmax is the reference luminance; 0 < k ≤ 255; γ is a constant.

15. A readable storage medium having a computer program stored thereon, characterized in that, When the computer program is executed, it implements the evaluation method according to any one of claims 1-10.

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