Smear detection method, apparatus and storage medium

Abstract

Embodiments of the present application relate to the technical field of display, and disclose a smear detection method, comprising: acquiring measurement images of a test object of a display panel to be tested when the test object displays three colors respectively and moves from a first display position to a second display position; determining tristimulus values in a smear area in the measurement images corresponding to the three colors; determining a white color coordinate measurement value according to the tristimulus values in the smear area corresponding to the three colors, wherein the white color coordinate measurement value is regarded as a white color coordinate measurement of a white color smear area corresponding to the test object when the test object displays white color and moves from the first display position to the second display position; and determining a smear color deviation value of the display panel to be tested according to the white color coordinate measurement value and a real value of a white color coordinate of the test object acquired in advance.The smear detection method, device and storage medium of the present application provide a method for accurately and objectively measuring color deviation of a smear area of a display panel to be tested.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of display technology, and in particular to a smear detection method, device and storage medium. Background Art

[0002] During the display panel production process, to ensure performance and quality, it is necessary to detect and determine the smear phenomenon of the display panels. Smear refers to the phenomenon that when there are moving objects in the image displayed by the display panel, the moving objects may produce a trailing image on the display panel, which can seriously affect the user's viewing experience.

[0003] Existing methods for measuring smear on display panels often rely on human visual observation. However, this method is highly subjective and has low accuracy, making it difficult for technicians to make comprehensive and targeted improvements to display panels to address the smear phenomenon. Summary of the Invention

[0004] The purpose of the embodiments of the present invention is to provide a smear detection method, device and storage medium, which provide a method for accurately and objectively measuring the color deviation of the smear area of ​​the display panel to be tested.

[0005] To solve the above technical problems, an embodiment of the present invention provides a smear detection method, comprising: obtaining a measurement image of a test object of a display panel to be tested when the test object displays three colors respectively and moves from a first display position to a second display position; determining tristimulus values ​​within a smear area in the measurement image corresponding to the three colors; determining a white color coordinate measurement value based on the tristimulus values ​​within the smear area corresponding to the three colors, wherein the white color coordinate measurement value is regarded as a white color coordinate measurement of the white smear area corresponding to the process of the test object displaying white and moving from a first display position to a second display position; and determining a smear color deviation value of the display panel to be tested based on the white color coordinate measurement value and a pre-acquired true value of the white color coordinate of the test object.

[0006] In addition, determining the tristimulus values ​​in the smear area of ​​the measurement image corresponding to the three colors includes: determining a pixel row number-brightness change curve in the smear area of ​​the measurement image corresponding to the three colors, the pixel row number-brightness change curve reflecting how the brightness of the three color pixels in the smear area changes with the number of pixel rows; selecting a measurement point in the pixel row number-brightness change curve and determining the brightness values ​​of the three colors at the measurement point; and determining the tristimulus values ​​of the three colors at the measurement point based on the brightness values ​​of the three colors at the measurement point.

[0007] In addition, determining the tristimulus values ​​of the three colors at the measuring point according to the brightness values ​​of the three colors at the measuring point includes: determining the tristimulus values ​​of the three colors at the measuring point according to the brightness values ​​of the three colors at the measuring point and the pre-acquired true color coordinates of the three colors of the test object.

[0008] In addition, determining the white color coordinate measurement value according to the tristimulus values ​​in the smear area corresponding to the three colors includes: determining the white tristimulus value of the measurement point according to the tristimulus values ​​of the three colors at the measurement point; and determining the white color coordinate measurement value of the white smear area according to the white tristimulus values ​​of the measurement point.

[0009] In addition, there are multiple measurement points, each of which corresponds to a white tristimulus value; determining the white color coordinate measurement value based on the white tristimulus values ​​of the measurement point includes: determining the white color coordinate measurement value of each measurement point based on the white tristimulus values ​​of each measurement point among the multiple measurement points; determining the maximum white color coordinate measurement value among the multiple measurement points, and using the maximum white color coordinate measurement value as the white color coordinate measurement value within the white smear area.

[0010] In addition, there are multiple measurement points, each of which corresponds to a white tristimulus value; determining the white color coordinate measurement value based on the white tristimulus value of the measurement point includes: determining the white color coordinate measurement value of each measurement point based on the white tristimulus value of each measurement point in the multiple measurement points; determining an average value of the white color coordinate measurement values ​​of the multiple measurement points, and using the average value as the white color coordinate measurement value in the white smear area.

[0011] In addition, there are multiple measurement points, each of which corresponds to a white tristimulus value; determining the white color coordinate measurement value based on the white tristimulus values ​​of the measurement points includes: determining the white color coordinate measurement value of each measurement point based on the white tristimulus values ​​of each measurement point, and using the white color coordinate measurement values ​​of the multiple measurement points as the white color coordinate measurement values ​​within the white smear area; determining the smear color deviation value of the display panel to be tested based on the white color coordinate measurement values ​​and the pre-acquired true value of the white color coordinates of the test object includes: determining a sub-color deviation value for each measurement point based on the white color coordinate measurement value of each measurement point and the pre-acquired true value of the white color coordinates of the test object, to obtain a plurality of sub-color deviation values; and determining the smear color deviation value of the display panel to be tested based on the plurality of sub-color deviation values.

[0012] In addition, determining the smear color deviation value of the display panel to be tested based on the multiple sub-color deviation values ​​includes: calculating the average value of the multiple sub-color deviation values, and using the average value as the smear color deviation value of the display panel to be tested; or determining the largest sub-color deviation value among the multiple sub-color deviation values, and using the largest sub-color deviation value as the smear color deviation value of the display panel to be tested.

[0013] An embodiment of the present invention also provides a smear detection device, comprising: at least one processor; and a memory communicatively connected to the at least one processor; wherein the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the above-mentioned smear detection method.

[0014] An embodiment of the present invention further provides a computer-readable storage medium storing a computer program, wherein the computer program implements the above-mentioned smear detection method when executed by a processor.

[0015] The embodiments of the present invention provide a smear detection method, device, and storage medium. The method obtains measurement images of the object to be tested of the display panel to be tested when the object to be tested displays three colors respectively and moves from a first display position to a second display position, and determines the white color coordinate measurement value of the white smear area based on the tristimulus values ​​in the smear area in the measurement images corresponding to the three colors. The smear color deviation value of the display panel to be tested is determined based on the white color coordinate measurement value of the white smear area and the true value of the white color coordinate of the test object obtained in advance. The smear color deviation value is used to evaluate the degree of smear color deviation of the display panel to be tested, thereby providing a method for accurately and objectively measuring the color deviation of the smear area of ​​the display panel to be tested. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] One or more embodiments are exemplarily illustrated by pictures in the corresponding drawings. These exemplifications do not constitute limitations on the embodiments. Elements with the same reference numerals in the drawings are represented as similar elements. Unless otherwise stated, the figures in the drawings do not constitute proportional limitations.

[0017] Figure 1 is a schematic diagram of smear according to the present invention;

[0018] Figure 2 is a schematic flow chart of a smear detection method according to an embodiment of the present invention;

[0019] Figure 3 is a schematic diagram of a dragging process of a red R test object displayed on a display panel to be tested according to an embodiment of the present invention;

[0020] Figure 4is a schematic diagram of a dragging process of a green G test object displayed on a display panel to be tested according to an embodiment of the present invention;

[0021] Figure 5 2 is a schematic diagram of a dragging process of a blue B test object displayed on a display panel to be tested according to an embodiment of the present invention;

[0022] Figure 6 2 is a schematic structural diagram of a smear detection device according to an embodiment of the present invention. DETAILED DESCRIPTION

[0023] To make the purpose, technical solutions, and advantages of the embodiments of the present invention more clear, each embodiment of the present invention will be described in detail below with reference to the accompanying drawings. However, those skilled in the art will appreciate that in each embodiment of the present invention, many technical details are provided to help readers better understand the present application. However, even without these technical details and various changes and modifications based on the following embodiments, the technical solutions claimed in the present application can still be implemented.

[0024] For active-matrix organic light-emitting diode (AMOLED) displays, due to the influence of TFT Step effect, the display brightness of the first and second frames cannot immediately reach the normal display brightness. The corresponding actual application scenario is that there will be a ghosting phenomenon when the displayed image moves (such as Figure 1 If the brightness difference between the first and second RGB frames is large, it will also cause the problem of ghosting and discoloration, such as the problem of reddish / purple ghosting, resulting in a poor user experience.

[0025] In response to this, the first embodiment of the present invention relates to a smear detection method. The core of this embodiment is to obtain measurement images of the test object of the display panel to be tested when it displays three colors and moves from a first display position to a second display position, and determine the white color coordinate measurement value of the white smear area according to the three stimulus values ​​in the smear area in the measurement images corresponding to the three colors, and determine the smear color deviation value of the display panel to be tested according to the white color coordinate measurement value of the white smear area and the true value of the white color coordinate of the test object obtained in advance. The smear color deviation value is used to evaluate the degree of smear color deviation of the display panel to be tested, and provides a method for accurately and objectively measuring the color deviation of the smear area of ​​the display panel to be tested.

[0026] The following is a detailed description of the implementation details of the smear detection method of this embodiment. The following content is only provided for easy understanding of the implementation details and is not necessary for implementing this solution.

[0027] The flowchart of the smear detection method in this embodiment is as follows: Figure 2 As shown:

[0028] Step 101: obtaining measurement images of a test object of a display panel to be tested during a process of moving from a first display position to a second display position when the test object displays three colors respectively.

[0029] Specifically, if Figure 3 As shown in FIG, a test object (such as a square picture) is displayed on the display panel to be tested. The three colors are red R, green G and blue B. Figure 3 As shown, a first measurement image is obtained when the test object of the display panel to be tested displays red R and moves from a first display position to a second display position. The first measurement image includes a streak of the red R test object during the movement. Figure 4 As shown, a second measurement image is obtained when the test object of the display panel to be tested displays green G and moves from a first display position to a second display position. The second measurement image includes a smear during the movement of the green G test object. Figure 5 As shown, a third measurement image is acquired when the test object of the display panel under test moves from a first display position to a second display position when displaying blue B. The third measurement image includes a smear of the test object during the movement of blue B. Optionally, a high-speed CCD camera is used to acquire one or more measurement images for each color during the movement process, namely, one or more first measurement images, one or more second measurement images, and one or more third measurement images.

[0030] Step 102: Determine pixel row number-brightness variation curves in the smear area of ​​the measurement image corresponding to the three colors.

[0031] Specifically, the smear area can be determined based on the measurement image obtained in step 101. Figure 3 As shown, the red smear area 11 when the test object displays red can be determined according to the first measurement image, and the pixel row number-brightness change curve of the red sub-pixels in the red smear area 11 can be determined; Figure 4 As shown, the green smear area 12 when the test object displays green is determined according to the second measurement image, and the pixel row number-brightness change curve of the green sub-pixels in the green smear area 12 is determined; Figure 5As shown, based on the third measurement image, a blue smear region 13 is determined when the test object displays blue. A pixel row number-brightness variation curve for the blue sub-pixels within blue smear region 13 is then determined, resulting in pixel row number-brightness variation curves for the three color sub-pixels. In this embodiment, the smear regions are not fixed locations on the display screen, but rather are gradient regions formed as they move. For example, the red smear region 11 occupies 15 rows of the display panel, the green smear region 12 occupies 18 rows of the display panel, and the blue smear region 13 occupies 20 rows of the display panel.

[0032] In this embodiment, since the test object is moved from the first display position to the second display position during the test process of determining the smear area when displaying white and three colors (red R, green G, and blue B), and since white is composed of three colors (red R, green G, and blue B), the white smear area can also be jointly determined based on the smear areas (red smear area 11, green smear area 12, blue smear area 13) of the three colors corresponding to the test object when displaying the three colors (red R, green G, and blue B). The smear areas of the three colors (red smear area 11, green smear area 12, blue smear area 13) can be superimposed to obtain the white smear area. In the above example, the size of the white smear area corresponding to the display of white occupies 20 lines of the display panel.

[0033] Based on the smear area of ​​the test object of three colors (red R, green G, and blue B), a pixel row number-brightness variation curve is determined, which can reflect how the brightness of the three color pixels in the smear area changes with the number of pixel rows. The pixel row number-brightness variation curve can use brightness as the vertical axis and the number of pixel rows as the horizontal axis, and the pixel row number-brightness variation curve can be constructed based on the brightness ranging from 0% to 100% or 100% to 0%. When the pixel row number-brightness variation curve is constructed based on the brightness ranging from 0% to 100%, the pixel row number-brightness variation curve reflects how the brightness of the three color pixels changes as the number of pixel rows increases.

[0034] Step 103: Select a measurement point in the pixel row number-brightness change curve, and determine the brightness values ​​of the three colors at the measurement point.

[0035] Specifically, after creating the curve, measurement points are selected based on the shift in the number of pixel rows, and the brightness values ​​of the three colors at the measurement points are read. If the number of pixel rows of the selected measurement points is i, the brightness values ​​of the three colors corresponding to the i-th measurement point on the curve are recorded as LR(i), LG(i), and LB(i), respectively. Optionally, multiple measurement points can be evenly selected based on the shift in the number of pixel rows, and these multiple measurement points can be evenly distributed across the pixel rows in the smear area. For example, the brightness values ​​corresponding to the three colors when the number of pixel rows is 10 or 15 can be selected. It should be noted that since the smear areas of the three colors (red smear area 11, green smear area 12, and blue smear area 13) do not completely overlap, measurement points can be selected based on their shared areas. For example, if the red smear area 11 occupies 15 rows of the display panel, the green smear area 12 occupies 18 rows of the display panel, and the blue smear area 13 occupies 20 rows of the display panel, then measurement points can be selected from rows 1-15, i.e., points that are common to all three color curves.

[0036] Step 104: Determine the tristimulus values ​​of the three colors at the measurement point according to the brightness values ​​of the three colors at the measurement point.

[0037] Specifically, when there is one measuring point, the tristimulus values ​​of the three colors at the measuring point are directly determined based on the brightness value of the measuring point; when there are multiple measuring points, the tristimulus values ​​of the three colors at the corresponding measuring point are determined based on the brightness value of each of the multiple measuring points.

[0038] Optionally, the tristimulus values ​​of the three colors at the measuring point are determined according to the brightness values ​​of the three colors at the measuring point and the pre-acquired true color coordinates of the three colors of the test object.

[0039] Specifically, taking the monochromatic red color R as an example, the tristimulus values ​​XR, YR, and ZR of red R can be calculated based on the red brightness value LR(i) and the true red color coordinates R(x, y) at the i-th measurement point. Taking the monochromatic green color G as an example, the tristimulus values ​​XG, YG, and ZG of green G can be calculated based on the green brightness value LG(i) and the true green color coordinates G(x, y) at the i-th measurement point. Taking the monochromatic blue color B as an example, the tristimulus values ​​XB, YB, and ZB of blue B can be calculated based on the blue brightness value LB(i) and the true blue color coordinates B(x, y) at the i-th measurement point. Thus, the tristimulus values ​​of the three colors at the i-th measurement point are XR, YR, ZR, XG, YG, ZG, and XB, YB, and ZB.

[0040] Step 105: Determine the white tristimulus value of the measuring point based on the tristimulus values ​​of the three colors at the measuring point. Assume that the white tristimulus value of the i-th measuring point is X W-i , Y W-i , Z W-i , where X W-i =X R-i+X G-i +X B-i ; Y W-i =X R-i +X G-i +X B-i ; Z W-i =X R-i +X G-i +X B-i .

[0041] Step 106: Determine the white color coordinate measurement value in the white smear area according to the white tristimulus value of the measurement point.

[0042] Step 107 : Determine the smear color deviation value of the display panel to be tested according to the white color coordinate measurement value and the pre-acquired true value of the white color coordinate of the test object.

[0043] Specifically for the above steps 106 and 107:

[0044] When there is only one measurement point, the white tristimulus value of the measurement point may be determined as the white color coordinate measurement value in the smear area.

[0045] When there are multiple measurement points, there are at least two ways to implement "determining the white color coordinates within the smear area based on the white tristimulus values ​​of the measurement points":

[0046] In one implementation, there are multiple measurement points, each of which corresponds to a white tristimulus value; determining a white color coordinate measurement value based on the white tristimulus value of the measurement point includes: determining the white color coordinate measurement value of each measurement point based on the white tristimulus value of each measurement point among the multiple measurement points; determining a maximum white color coordinate measurement value among the multiple measurement points, and using the maximum white color coordinate measurement value as the white color coordinate measurement value within the white smear area.

[0047] The process for obtaining the white color coordinates of each of the multiple measurement points in this embodiment is the same as in the above-described implementation and will not be further described in this embodiment. In this embodiment, after obtaining the white color coordinate measurement value for each of the multiple measurement points, the difference between each white color coordinate measurement value and the true color coordinate value W(u', v') is not calculated. Instead, the maximum white color coordinate measurement value Wu'max(i) and Wv'max(i) among the multiple measurement points is first determined. This maximum white color coordinate measurement value is used as the white color coordinate measurement value within the white smear area for subsequent calculations. This significantly reduces the computational effort and improves testing efficiency.

[0048] In another implementation, there are multiple measurement points, each of which corresponds to a white tristimulus value; determining the white color coordinate measurement value within the smear area based on the white tristimulus value of the measurement point includes: determining the white color coordinate measurement value of each measurement point based on the white tristimulus value of each measurement point among the multiple measurement points; determining an average of the white color coordinate measurement values ​​of the multiple measurement points, and using the average as the white color coordinate measurement value within the white smear area.

[0049] The process for obtaining the hue coordinates of each of the multiple measurement points in this embodiment is the same as in the above-described implementation and will not be further described in this embodiment. In this embodiment, after obtaining the white color coordinate measurement value for each of the multiple measurement points, the difference between each white color coordinate measurement value and the true color coordinate value W(u', v') is not calculated. Instead, the average of the white color coordinate measurement values ​​of the multiple measurement points is first determined, and this average is used as the white color coordinate measurement value within the white smear region for subsequent calculations. This significantly reduces the computational effort and improves testing efficiency.

[0050] When the above two methods are used (the average value or maximum value of the white color coordinate measurement values ​​of multiple measurement points is used as the white color coordinate measurement value in the white smear area) to determine the white color coordinate measurement value in the smear area, the difference between the white color coordinate measurement value in the smear area and the true value of the white color coordinate of the test object obtained in advance can be directly calculated. The difference obtained is the smear color deviation value of the display panel to be tested.

[0051] If the above two methods are not adopted, but the white color coordinate measurement values ​​of multiple measurement points are used as the white color coordinate measurement values ​​in the white smear area, then the smear color deviation value of the display panel to be tested is determined based on the white color coordinate measurement values ​​and the true value of the white color coordinates of the test object obtained in advance, including: determining the white color coordinate measurement value of each measurement point among the multiple measurement points and the true value of the white color coordinates of the test object obtained in advance to determine a sub-color deviation value of each measurement point, to obtain multiple sub-color deviation values; and determining the smear color deviation value of the display panel to be tested based on the multiple sub-color deviation values.

[0052] The sub-color deviation value of each measurement point mentioned here is the difference between the white color coordinate measurement value of each measurement point and the true value of the white color coordinate of the test object obtained in advance.

[0053] Specifically, the difference calculation process is described below using the i-th measurement point as an example. The difference calculation process corresponding to multiple measurement points is the same as that for one measurement point, and will not be repeated.

[0054] The white tristimulus value of the i-th measurement point is X W-i , Y W-i , Z W-i, calculate the color coordinates Wu'(i) and Wv'(i). First calculate the XY color coordinates Wx(i) and Wy(i), then convert the XY color coordinates to the CIE-u'v'1976 uniform color space to obtain the UV color coordinate measurement values ​​Wu'(i) and Wv'(i).

[0055] Where Wx(i)=X W-i / (X W-i +Y W-i +Y W-i ), Wy(i)=Y W-i / (X W-i +Y W-i +Y W-i ). Wu'(i)=4*Wx(i) / (3-2*Wx(i)+12*Wy(i)), Wv'(i)=9*Wx(i) / (3-2*Wx(i)+12*Wy(i)).

[0056] The true value of the white color coordinate of the test object obtained in advance can be the true value of the UV color coordinate of the central area of ​​the white test object, or the true value W(x, y) of the XY color coordinate of the central area of ​​the white test object. The true value W(u', v') of the UV color coordinate is calculated based on the true value W(x, y) of the XY color coordinate.

[0057] The color difference Δu'v' is calculated by comparing the color coordinate measurement values ​​Wu'(i) and Wv'(i) of the i-th measurement point with the true value W(u', v') of the color coordinates. The color difference Δu'v' is calculated using the following formula:

[0058] Δu'v'=SQRT((Wu'(i)-Wu')^2+((Wv'(i)-Wv')^2)

[0059] The above method can be used to calculate the difference value corresponding to each of the multiple measurement points. Based on the difference value, the sub-color deviation value corresponding to each measurement point is calculated. Sub-color deviation value JNCD = Δu'v' / m, where m represents the minimum unit of color difference and can be 0.004. A curve is generated based on the sub-color deviation value corresponding to each measurement point. This curve can be used to determine the degree of smearing of the display panel under test. In practical applications, the maximum sub-color deviation value among the points on the curve can be selected as the smearing color deviation value of the display panel under test. Alternatively, the average of all sub-color deviation values ​​at all measurement points can be calculated and used as the smearing color deviation value of the display panel under test.

[0060] In the prior art, when testing for smear color shift, brightness differences are primarily used to indicate this, and the measurement is based on the principle of smear generation, which cannot accurately and objectively measure the color shift in the smear area. However, this embodiment obtains measurement images of the display panel under test as it changes from a first display position to a second display position while displaying a test object of three colors. The white color coordinate measurement values ​​within the smear area are determined based on the tristimulus values ​​of the three colors in the smear area in the measurement images. The smear color shift value of the display panel under test is determined based on the white color coordinate measurement values ​​within the smear area and the true values ​​of the white color coordinates of the test object obtained in advance. This smear color shift value is used to evaluate the degree of smear color shift of the display panel under test, thereby accurately and objectively measuring the color shift in the smear area. This provides a method for accurately and objectively measuring the color shift in the smear area of ​​the display panel under test.

[0061] The steps of the various methods above are divided only for the purpose of clear description. During implementation, they can be combined into one step or some steps can be split and decomposed into multiple steps. As long as they include the same logical relationship, they are all within the scope of protection of this patent. Adding insignificant modifications or introducing insignificant designs to the algorithm or process without changing the core design of the algorithm and process are all within the scope of protection of this patent.

[0062] The second embodiment of the present invention relates to a smear detection device, such as Figure 6 As shown, it includes at least one processor 201; and a memory 202 that is communicatively connected to the at least one processor 201; wherein the memory 202 stores instructions that can be executed by the at least one processor 201, and the instructions are executed by the at least one processor 201 to enable the at least one processor 201 to execute the above-mentioned smear detection method.

[0063] The memory 202 and processor 201 are connected using a bus. The bus can include any number of interconnected buses and bridges, connecting various circuits of one or more processors 201 and memory 202. The bus can also connect various other circuits such as peripheral devices, voltage regulators, and power management circuits. These are all well known in the art and are therefore not described further herein. The bus interface provides an interface between the bus and the transceiver. The transceiver can be a single component or multiple components, such as multiple receivers and transmitters, providing a unit for communicating with various other devices over a transmission medium. Data processed by the processor 201 is transmitted over a wireless medium via an antenna. Furthermore, the antenna receives data and transmits it to the processor 201.

[0064] The processor 201 is responsible for managing the bus and general processing, and may also provide various functions, including timing, peripheral interfaces, voltage regulation, power management, and other control functions. The memory 202 may be used to store data used by the processor 201 when performing operations.

[0065] A third embodiment of the present invention further provides a computer-readable storage medium storing a computer program, wherein the computer program implements the above-mentioned smear detection method when executed by a processor.

[0066] That is, those skilled in the art will understand that all or part of the steps in the above-mentioned embodiments can be implemented by instructing the relevant hardware through a program, which is stored in a storage medium and includes a number of instructions for causing a device (which may be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the methods described in the various embodiments of the present application. The aforementioned storage medium includes: a USB flash drive, a mobile hard disk, a read-only memory (ROM), a random access memory (RAM), a magnetic disk, or an optical disk, etc., various media that can store program code.

[0067] Those skilled in the art will appreciate that the above-mentioned embodiments are specific examples for implementing the present invention, and that in actual applications, various changes may be made thereto in form and detail without departing from the spirit and scope of the present invention.

Claims

1. A smear detection method, characterized in that: include: Acquire measurement images of a test object of the display panel to be tested during a process of moving from a first display position to a second display position when the test object displays three colors respectively; Determining tristimulus values ​​corresponding to three colors in the smear area of ​​the measurement image; Determining a white color coordinate measurement value based on the tristimulus values ​​within the smear area corresponding to the three colors, wherein the white color coordinate measurement value is considered to be a white color coordinate measurement value of the white smear area corresponding to the process of the test object moving from the first display position to the second display position when displaying white; determining a smear color deviation value of the display panel to be tested according to the white color coordinate measurement value and a pre-acquired true value of the white color coordinate of the test object; Determining a white color coordinate measurement value according to tristimulus values ​​within the smear area corresponding to the three colors includes: Determine the white tristimulus value of the measuring point based on the tristimulus values ​​of the three colors at the measuring point; Determine the white color coordinate measurement value of the white smear area based on the white tristimulus values ​​of the measurement point.

2. The smear detection method according to claim 1, wherein: Determining the tristimulus values ​​corresponding to the three colors in the smear area of ​​the measurement image includes: Determine a pixel row number-brightness variation curve in the smear area of ​​the measurement image corresponding to the three colors, wherein the pixel row number-brightness variation curve reflects how the brightness of the three color pixels in the smear area changes with the number of pixel rows; Selecting a measurement point in the pixel row number-brightness variation curve, and determining the brightness values ​​of the three colors at the measurement point; The tristimulus values ​​of the three colors at the measuring point are determined according to the brightness values ​​of the three colors at the measuring point.

3. The smear detection method according to claim 2, wherein: Determining the tristimulus values ​​of the three colors at the measuring point according to the brightness values ​​of the three colors at the measuring point includes: The tristimulus values ​​of the three colors at the measuring point are determined according to the brightness values ​​of the three colors at the measuring point and the pre-acquired true color coordinates of the three colors of the test object.

4. The smear detection method according to claim 2 or 3, characterized in that: There are multiple measuring points, each of which corresponds to a white tristimulus value; Determining the white color coordinate measurement value according to the white tristimulus value of the measurement point includes: determining a white color coordinate measurement value of each measurement point according to the white tristimulus value of each measurement point among the plurality of measurement points; A maximum white color coordinate measurement value among the multiple measurement points is determined, and the maximum white color coordinate measurement value is used as the white color coordinate measurement value in the white smear area.

5. The smear detection method according to claim 2 or 3, characterized in that: There are multiple measuring points, each of which corresponds to a white tristimulus value; Determining the white color coordinate measurement value according to the white tristimulus value of the measurement point includes: determining a white color coordinate measurement value of each measurement point according to the white tristimulus value of each measurement point among the plurality of measurement points; An average value of the white color coordinate measurement values ​​of the plurality of measurement points is determined, and the average value is used as the white color coordinate measurement value in the white smear area.

6. The smear detection method according to claim 2 or 3, characterized in that: There are multiple measuring points, each of which corresponds to a white tristimulus value; Determining the white color coordinate measurement value according to the white tristimulus value of the measurement point includes: determining a white color coordinate measurement value of each measurement point according to the white tristimulus value of each measurement point among the multiple measurement points, and using the white color coordinate measurement values ​​of the multiple measurement points as the white color coordinate measurement values ​​within the white smear area; The determining of the smear color deviation value of the display panel to be tested according to the white color coordinate measurement value and the pre-acquired true value of the white color coordinate of the test object includes: determining a sub-color deviation value of each measurement point according to the white color coordinate measurement value of each measurement point and a pre-acquired true value of the white color coordinate of the test object, to obtain a plurality of sub-color deviation values; The smear color deviation value of the display panel to be tested is determined according to the multiple sub-color deviation values.

7. The smear detection method according to claim 6, wherein: The determining the smear color deviation value of the display panel to be tested according to the multiple sub-color deviation values ​​includes: Calculating an average value of the plurality of sub-color deviation values, and using the average value as a smear color deviation value of the display panel to be tested; Alternatively, a maximum sub-color deviation value among the multiple sub-color deviation values ​​is determined, and the maximum sub-color deviation value is used as the smear color deviation value of the display panel to be tested.

8. A smear detection device, characterized in that: include: at least one processor; as well as, a memory communicatively connected to the at least one processor; wherein, The memory stores instructions that can be executed by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to perform the smear detection method according to any one of claims 1 to 7.

9. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the smear detection method according to any one of claims 1 to 7 is implemented.

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