CN117518540A - Display panel detection method and detection device - Google Patents
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- CN117518540A CN117518540A CN202310317073.2A CN202310317073A CN117518540A CN 117518540 A CN117518540 A CN 117518540A CN 202310317073 A CN202310317073 A CN 202310317073A CN 117518540 A CN117518540 A CN 117518540A
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- G—PHYSICS
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- G02F—OPTICAL DEVICES OR ARRANGEMENTS FOR THE CONTROL OF LIGHT BY MODIFICATION OF THE OPTICAL PROPERTIES OF THE MEDIA OF THE ELEMENTS INVOLVED THEREIN; NON-LINEAR OPTICS; FREQUENCY-CHANGING OF LIGHT; OPTICAL LOGIC ELEMENTS; OPTICAL ANALOGUE/DIGITAL CONVERTERS
- G02F1/00—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics
- G02F1/01—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour
- G02F1/13—Devices or arrangements for the control of the intensity, colour, phase, polarisation or direction of light arriving from an independent light source, e.g. switching, gating or modulating; Non-linear optics for the control of the intensity, phase, polarisation or colour based on liquid crystals, e.g. single liquid crystal display cells
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Abstract
The application provides a detection method and a detection device of a display panel, wherein the detection method comprises the following steps: acquiring a plurality of Mura compensation data, wherein each Mura compensation data corresponds to a display panel to be tested; determining an actual to-be-detected area of each to-be-detected display panel based on each Mura compensation data; acquiring Mura compensation data to be detected corresponding to each actual region to be detected; judging whether the display panel to be tested is an abnormal display panel or not according to the Mura compensation data to be tested. According to the detection method of the display panel, the data analysis is carried out on the fixed positions of the display panels by acquiring the Mura compensation data to be detected corresponding to the display panels to be detected, so that whether the display panels to be detected are abnormal display panels or not is judged.
Description
Technical Field
The application relates to the technical field of display, in particular to a detection method and a detection device for a display panel.
Background
In the process of manufacturing the liquid crystal display screen, poor image quality of a liquid crystal display panel (Open Cell, OC) product caused by equipment or process may occur, and in particular, uneven display (Mura) type defects may occur. In the Demura (display unevenness compensation) repair process, relevant information of the front-end process failure is checked. Particularly, defects are generated at the fixed position of the OC due to defects in the OC process or the device, so that Mura is generated at the fixed position of the OC.
However, in the conventional detection method, there is no method for performing analysis and control for defects generated in the OC fixed position.
Disclosure of Invention
The application provides a detection method and a detection device for a display panel, which are used for judging whether the display panel to be detected is an abnormal display panel or not by acquiring Mura compensation data to be detected corresponding to a plurality of display panels to be detected.
In a first aspect, the present application provides a method for detecting a display panel, including the following steps:
acquiring a plurality of Mura compensation data, wherein each Mura compensation data corresponds to a display panel to be tested;
determining an actual to-be-measured area of each to-be-measured display panel based on each Mura compensation data;
obtaining Mura compensation data to be detected corresponding to the actual region to be detected of the display panel to be detected;
judging whether the display panel to be tested is an abnormal display panel or not according to the Mura compensation data to be tested.
In the method for detecting a display panel provided in the present application, the step of obtaining a plurality of Mura compensation data, where each Mura compensation data corresponds to a display panel to be detected, includes:
acquiring first Mura compensation data of fixed-position pixels of each display panel to be tested;
performing interpolation calculation on the first Mura compensation data to obtain second Mura compensation data corresponding to the non-fixed position pixels;
and obtaining the Mura compensation data of each display panel to be tested through the first Mura compensation data and the second Mura compensation data.
In the method for detecting a display panel provided in the present application, the step of determining an actual area to be detected of each display panel to be detected based on each Mura compensation data includes:
setting one Mura compensation data as display data;
acquiring a display image corresponding to the display panel to be tested based on the display data;
determining a preset actual to-be-detected area of the to-be-detected display panel according to the display image;
and setting the preset region to be measured as an actual region to be measured of each display panel to be measured.
In the method for detecting a display panel provided in the present application, the step of determining a preset actual area to be detected of the display panel to be detected according to the display image includes:
determining a first region to be tested of the display panel to be tested according to the display image;
determining a target pixel based on the first region to be detected;
determining a second region to be tested of the display panel to be tested according to the target pixel;
and taking the second region to be measured as a preset region to be measured of the display panel to be measured.
In the method for detecting a display panel provided in the present application, the step of determining the target pixel based on the first to-be-detected area includes:
determining boundary point coordinates corresponding to the first region to be detected;
determining preset coordinates meeting preset conditions according to the boundary point coordinates;
and determining the pixel corresponding to the preset coordinate as the target pixel.
In the method for detecting a display panel provided in the present application, the step of determining the preset coordinates satisfying the preset condition according to the boundary point coordinates includes:
rounding the coordinates of the boundary points;
judging whether the coordinates of the boundary points after rounding processing are in the first area to be measured or not;
and if the boundary point coordinates after rounding processing are in the first region to be measured, the boundary point coordinates after rounding processing are the preset coordinates meeting the preset conditions.
In the method for detecting a display panel provided in the present application, the step of determining the second area to be detected of the display panel to be detected according to the target pixel includes:
if the target pixel is one, setting an area corresponding to the target pixel as a second area to be measured of the display panel to be measured;
if the number of the target pixels is two, setting the area corresponding to the linear distance between the two target pixels as a second area to be measured of the display panel to be measured;
and if the number of the target pixels is at least three, setting the area formed by surrounding at least three target pixels as a second area to be measured of the display panel to be measured.
In the method for detecting a display panel provided in the present application, the step of determining whether the display panel to be detected is an abnormal display panel according to a plurality of Mura compensation data to be detected includes:
determining the mode in the Mura compensation data to be tested, and taking the mode as a preset threshold;
if the Mura compensation data to be detected is not equal to the preset threshold value, the display panel to be detected corresponding to the Mura compensation data to be detected is an abnormal display panel;
and if the Mura compensation data to be detected is equal to the preset threshold value, the display panel to be detected corresponding to the Mura compensation data to be detected is a normal display panel.
In the method for detecting a display panel provided in the present application, the step of determining whether the display panel to be detected is an abnormal display panel according to a plurality of Mura compensation data to be detected includes:
determining an average value in a plurality of Mura compensation data to be tested;
respectively calculating the difference values between the Mura compensation data to be detected and the average value;
comparing the difference value with a preset threshold value, and if the difference value is larger than the preset threshold value, determining that the display panel to be detected corresponding to the Mura compensation data to be detected is an abnormal display panel;
and if the difference value is smaller than or equal to the preset threshold value, the display panel to be tested corresponding to the Mura compensation data to be tested is a normal display panel.
In a second aspect, the present application provides a detection apparatus for a display panel, including:
the Mura compensation data module is used for acquiring a plurality of Mura compensation data, and each Mura compensation data corresponds to a display panel to be tested;
the actual to-be-measured area determining module is used for determining an actual to-be-measured area of each display panel to be measured based on each Mura compensation data;
the to-be-measured Mura compensation data acquisition module is used for acquiring to-be-measured Mura compensation data corresponding to an actual to-be-measured area of the to-be-measured display panel;
the abnormality detection module is used for judging whether the display panel to be detected is an abnormal display panel or not according to the Mura compensation data to be detected.
According to the detection method and the detection device for the display panel, whether the display panel to be detected is an abnormal display panel or not is judged by acquiring the Mura compensation data to be detected corresponding to the display panels to be detected.
Drawings
Fig. 1 is a schematic flow chart of a first method for detecting a display panel according to an embodiment of the present application;
FIG. 2 is a schematic diagram showing a specific flow of step S10 in FIG. 1;
FIG. 3 is a schematic diagram illustrating a calculation method of step S12 in FIG. 2;
FIG. 4 is a schematic diagram illustrating a specific flow of step S20 in FIG. 1;
FIG. 5 is a schematic diagram illustrating a specific flow of step S23 in FIG. 4;
FIG. 6 is a flowchart illustrating step S232 of FIG. 5;
fig. 7 is a schematic diagram of a specific flow of step S2322 in fig. 6;
fig. 8 is a schematic diagram illustrating a specific flow of step S233 in fig. 5.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by those skilled in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
Furthermore, the terms first, second and the like in the description and in the claims, are used for distinguishing between different objects and not necessarily for describing a particular sequential or chronological order. The terms "comprising" and "having," and any variations thereof, are intended to cover a non-exclusive inclusion.
Referring to fig. 1, fig. 1 is a flow chart of a method for detecting a display panel according to an embodiment of the disclosure. As shown in fig. 1, the detection method of the display panel includes the following steps:
step S10, a plurality of Mura compensation data are obtained, and each Mura compensation data corresponds to a display panel to be tested.
It should be noted that, in this step, mura compensation data of each of the display panels to be tested is obtained. The plurality of display panels to be tested can be a plurality of display panels with at least one of the same size, resolution and variety.
And the Demura restoration algorithm needs to operate according to the Mura compensation data corresponding to the display panel to be detected and the corresponding gray scale data of the display panel to be detected to adjust the corresponding gray scale value of the display panel to be detected, so that the brightness of the pixels is changed to realize the restoration effect of uneven brightness. Therefore, for each display panel to be tested, the Mura compensation data is fluctuated or abnormal or the display panel to be tested corresponding to the Mura compensation data, which is abnormal, can reflect the abnormality to a certain extent, is abnormal or bad.
In some embodiments provided herein, please refer to fig. 2, fig. 2 is a specific flowchart of step S10 of fig. 1. As shown in fig. 2, step S10 may specifically include the following steps:
step S11, obtaining first Mura compensation data of fixed position pixels of each display panel to be tested.
The fixed-position pixels refer to pixels corresponding to the fixed positions of the display panel to be tested, namely, the fixed-position pixels refer to pixels corresponding to the vertex positions of the fixed interval regions on the display panel to be tested. The size of the fixed interval area can be set according to the actual situation.
Taking a display panel with 1280 pixels in the horizontal direction and 720 pixels in the vertical direction, i.e., with a resolution of 1280×720, if the size of the fixed-space region n×m is 8×8, the total number of fixed-position pixels on the display panel with a resolution of 1280×720 is (1280/8) (720/8) =160×90. If the size of the fixed interval area is 16×16, the total number of fixed position pixels on the display panel with the resolution of 1280×720 is (1280/16) ×720/16) =80×45.
And measuring the actual brightness of the fixed-position pixels, and obtaining Mura compensation data corresponding to the fixed-position pixels based on the actual brightness and the theoretical brightness of the fixed-position pixels to obtain first Mura compensation data.
It should be noted that the number of fixed-position pixels may be the same or different for a plurality of display panels to be tested. For the convenience of measurement, when the display panels to be measured are display panels with the same size and the same resolution, the fixed interval areas of the display panels to be measured are the same in size, and then the number of pixels at the fixed positions of each display panel to be measured and the coordinates corresponding to the pixels at the fixed positions are the same.
And step S12, performing interpolation calculation on the first Mura compensation data to obtain second Mura compensation data corresponding to the non-fixed position pixels.
The non-fixed position pixels refer to pixels except fixed position pixels on the display panel to be tested. Since the fixed-position pixels are determined by the fixed-interval regions, any one of the non-fixed-position pixels is always within a certain fixed-interval region.
Specifically, referring to fig. 3, fig. 3 is a schematic diagram of a calculation method of step S12 in fig. 2. As shown in fig. 3, the size of the fixed-interval region 10 is 8×8, wherein the fixed-interval region 10 includes a fixed-position pixel A, B, C, D and an unfixed-position pixel E.
The coordinates of the fixed position pixel A on the display panel to be tested are (Xa, ya), the coordinates of the fixed position pixel B on the display panel to be tested are (Xa+8, ya), the coordinates of the fixed position pixel C on the display panel to be tested are (Xa, ya-8), and the coordinates of the fixed position pixel D on the display panel to be tested are (Xa-8, ya+8). Assuming that the coordinates of the non-fixed position pixel E are (xa+x1, ya-Y1), the coordinates of the non-fixed position pixel E1 are (Xa, ya-Y1), and the coordinates of the non-fixed position pixel E2 are (xa+8, ya-Y1).
Let Mura compensation data of fixed-position pixel a be a, mura compensation data of fixed-position pixel B be B, mura compensation data of fixed-position pixel C be C, mura compensation data of fixed-position pixel D be D, mura compensation data of non-fixed-position pixel E1 be E1, and Mura compensation data of non-fixed-position pixel E2 be E2. The Mura compensation data e1= [ (8-Y1) a+y1×c ]/8 for the non-fixed-position pixel E1; mura compensation data e2= [ (8-Y1) b+y1×d ]/8 for non-fixed position pixel E2; mura compensation data for non-fixed position pixel e= [ (8-X1) ×e1+x1×e2]/8.
The above is a specific description of obtaining the second Mura compensation data in a linear interpolation calculation manner based on the first Mura compensation data. In other embodiments provided herein, the second Mura compensation data may also be obtained by non-linear interpolation based on the first Mura compensation data.
Step S13, obtaining Mura compensation data of each display panel to be tested through the first Mura compensation data and the second Mura compensation data, thereby obtaining a plurality of Mura compensation data.
Specifically, for each display panel to be tested, the Mura compensation data corresponding to each display panel to be tested includes the first Mura compensation data of all the pixels at the fixed positions and the second Mura compensation data of all the pixels at the non-fixed positions on the display panel to be tested. In other words, each Mura compensation data corresponding to each display panel to be tested is a union of the first Mura compensation data and the second Mura compensation data of the display panel to be tested.
Referring to fig. 1, in step S20, an actual area to be measured of each display panel to be measured is determined based on each Mura compensation data.
Specifically, if defects exist in the OC process or the device to cause uneven OC display, an abnormal area where a bad problem may occur, that is, an actual area to be measured in the step, may be determined by analyzing the difference of Mura compensation data of the display panel to be measured.
In some embodiments provided herein, referring to fig. 4, fig. 4 is a specific flowchart of step S20 in fig. 1. As shown in fig. 4, step S20 may specifically include the steps of:
in step S21, mura compensation data is set as display data.
It should be understood that one Mura compensation data of this step refers to one of the multiple Mura compensation data in step S10.
Step S22, obtaining a display image corresponding to the display panel to be tested based on the display data.
It should be emphasized that the display image in this step is an image generated by the display panel to be tested directly displaying based on Mura compensation data, and is not an image of the display panel to be tested after finishing repairing the display unevenness based on the Mura compensation data. Specifically, the display data can be drawn into a display image corresponding to the display panel to be tested through matlab.
Step S23, determining a preset region to be tested of the display panel to be tested according to the display image. And comparing the brightness of different areas of the display image, and selecting a preset area to be tested of the display panel to be tested.
Specifically, referring to fig. 5, fig. 5 is a schematic flow chart of step S23 in fig. 4. As shown in fig. 5, step S23 may specifically include the steps of:
step S231, determining a first area to be tested of the display panel to be tested according to the display image.
Specifically, a boundary line with obvious difference of brightness on a display image is determined, a plurality of boundary lines are connected in sequence, and a region formed by encircling the boundary lines is a first region to be detected. The border line with obvious difference between brightness and darkness may be a bright line appearing in a dark area in the display image, or may be a dark line appearing in a bright area in the display image. Specifically, the first area to be detected may be an area to be framed according to actual situations.
In step S232, a target pixel is determined based on the first region to be detected.
Since the boundary of the first area to be detected selected by the frame is not necessarily coincident with a part of the pixels on the display panel to be detected, further processing is required to be performed on the first area to be detected in order to obtain a more accurate abnormal area.
Specifically, referring to fig. 6, fig. 6 is a specific flowchart of step S232 in fig. 5. As shown in fig. 6, step S232 may specifically include the following steps:
in step S2321, the boundary point coordinates corresponding to the first to-be-detected area are determined.
Specifically, a first minimum boundary point coordinate and a first maximum boundary point coordinate in a first direction in a first region to be measured, and a second minimum boundary point coordinate and a second maximum boundary point coordinate in a second direction are determined. Wherein the first direction may be a horizontal direction X and the second direction may be a vertical direction Y. Thus, the first minimum boundary point coordinate a1 is (Xmin, Y1), the first maximum boundary point coordinate a2 is (Xmax, Y2), the second minimum boundary point coordinate a3 is (X3, ymin), and the second maximum boundary point coordinate a4 is (X4, ymax), wherein Xmin is equal to or less than X3 and equal to or less than Xmax, xmin is equal to or less than X4 and equal to or less than Xmax, ymin is equal to or less than Y1 and equal to or less than Ymax, and Ymin is equal to or less than Y2 and equal to or less than Ymax. Therefore, the coordinates an (Xn, yn) in the first region to be measured satisfy that Xmin. Ltoreq.Xn. Ltoreq.Xmax, and Ymin. Ltoreq.Yn. Ltoreq.Ymax.
Step S2322, determining preset coordinates meeting preset conditions according to the coordinates of the boundary points.
In order to determine the Mura compensation data corresponding to the first to-be-detected area, the pixel corresponding to the first to-be-detected area needs to be determined, and the coordinates of the pixel corresponding to the first to-be-detected area need to be determined.
Specifically, in some embodiments provided in the present application, please refer to fig. 7, fig. 7 is a schematic flowchart of step S2322 of fig. 6. Step S2322 may specifically include:
step S2001, rounding the boundary point coordinates. The coordinate values of the coordinates of the boundary point can be rounded directly, or the coordinate values of the left side of the boundary point can be rounded. It should be understood that in the present embodiment, all pixel coordinate values in the display panel to be measured are integers.
In step S2002, it is determined whether the boundary point coordinates after the rounding process are within the first region to be measured. Specifically, taking the first minimum boundary point coordinate a1 (155.5, 155.9) as an example, the first minimum boundary point coordinate a1 (155 ) after the rounding process is directly rounded, and the first minimum boundary point coordinate a1 (156 ) after the rounding process is rounded.
In step S2003, if the rounded boundary point coordinates are within the first region to be rounded, the rounded boundary point coordinates are preset coordinates satisfying the preset condition.
Specifically, if the rounded boundary point coordinate is within the first region to be measured, the X coordinate value of the rounded boundary point coordinate should be an integer greater than or equal to Xmin and less than or equal to Xmax, and the Y coordinate value of the rounded first minimum boundary point coordinate should be an integer greater than or equal to Ymin and less than or equal to Ymax.
Specifically, taking the first minimum boundary point coordinate a1 after the rounding process as an example, if the first minimum boundary point coordinate a1 (155.5, 155.9) before the rounding process is taken as an example, that is, xmin is 155.5, the (155 ) does not satisfy the preset condition, and the (155 ) is not the preset coordinate. The first minimum boundary point coordinates a1 (156 ) after the rounding processing are rounded, and therefore, the X coordinates of (156 ) satisfy the preset condition, and if the Y coordinates thereof also satisfy the preset condition, the (156 ) is the preset coordinate.
In step S2323, a pixel corresponding to the preset coordinate is determined as the target pixel. Namely, the pixel which is obtained by rounding and corresponds to the boundary point coordinate which meets the preset condition is the target pixel.
Step S233, determining a second region to be tested of the display panel to be tested according to the target pixel.
It should be appreciated that the second area to be measured is included in the first area to be measured, and coordinates of pixels corresponding to the first area to be measured are determined by the second area to be measured.
Specifically, in some embodiments provided in the present application, please refer to fig. 8, fig. 8 is a specific flowchart of step S233 of fig. 5. As shown in fig. 8, step S233 may specifically include:
in step S2331, if the target pixel is one, the region corresponding to the target pixel is set as the second region to be tested of the display panel to be tested.
The preset coordinates obtained according to the first maximum boundary point coordinates, the second maximum boundary point coordinates, the first minimum boundary point coordinates and the second minimum boundary point coordinates are one, namely, the pixel corresponding to the preset coordinates is the target pixel. The second area to be measured is a dot area.
In step S2332, if there are two target pixels, the area corresponding to the linear distance between the two target pixels is set as the second area to be measured of the display panel to be measured.
The preset coordinates obtained according to the first maximum boundary point coordinate, the second maximum boundary point coordinate, the first minimum boundary point coordinate and the second minimum boundary point coordinate are two, namely the pixels corresponding to the two preset coordinates are target pixels. The second area to be measured is a line area.
In step S2333, if the target pixels are at least three, the area formed by surrounding the at least three target pixels is set as the second area to be measured of the display panel to be measured.
The preset coordinates obtained according to the first maximum boundary point coordinate, the second maximum boundary point coordinate, the first minimum boundary point coordinate and the second minimum boundary point coordinate are at least three, namely, the pixels corresponding to the at least three preset coordinates are target pixels. The second area to be measured is a face area.
That is, the second area to be measured in this embodiment may be a pixel point, a straight line between two pixels, or a plane formed by enclosing at least three pixels.
In step S234, the second area to be measured is used as a preset area to be measured of the display panel to be measured.
It should be appreciated that the predetermined area to be measured is included in the first area to be measured, and coordinates of pixels in the first area to be measured are determined by the predetermined area to be measured.
Therefore, in the present embodiment, the range of the display panel to be tested is further limited by determining the second area to be tested, so as to improve the testing accuracy.
Step S24, the preset region to be measured is set as the actual region to be measured of each display panel to be measured.
It should be appreciated that the predetermined area to be measured is determined by one of the plurality of display panels to be measured. And taking the preset region to be measured of one of the display panels to be measured as the actual region to be measured of each of the display panels to be measured.
Specifically, when the display panels to be measured are display panels with the same size and the same resolution, the number of pixels in each actual region to be measured is the same, and the pitches between the pixels are also the same. So as to detect a defective display panel among the plurality of display panels to be tested.
Step S30, obtaining Mura compensation data to be tested corresponding to the actual area to be tested of the display panel to be tested.
It should be understood that the Mura compensation data to be measured corresponding to the actual region to be measured refers to Mura compensation data corresponding to all pixels in the actual region to be measured. The Mura compensation data to be measured is a set of pixel compensation data in the actual region to be measured.
Step S40, judging whether the display panel to be tested is an abnormal display panel according to the Mura compensation data to be tested.
In some embodiments, step S40 may specifically include:
and determining the mode in the Mura compensation data to be tested, and taking the mode as a preset threshold. Each Mura compensation data to be measured comprises at least one Mura compensation data corresponding to a pixel in an actual area to be measured. Specifically, mura compensation data corresponding to a pixel is data voltage to be compensated for writing to the pixel. Therefore, before determining the mode in the Mura compensation data to be tested, the data voltage average value in the actual region to be tested can be calculated, and then the mode in the data voltage average values is determined, and the mode is used as a preset threshold value.
And if the Mura compensation data to be detected is not equal to the preset threshold value, the display panel to be detected corresponding to the Mura compensation data to be detected is an abnormal display panel. And if the Mura compensation data to be detected is equal to the preset threshold value, the display panel to be detected corresponding to the Mura compensation data to be detected is a normal display panel.
In this embodiment, the Mura compensation data of the actual to-be-measured areas of the plurality of to-be-measured display panels are analyzed and processed, so as to analyze and control the fluctuation trend of the display panel process, and realize risk early warning.
In some embodiments, step S40 may specifically include:
an average value among a plurality of Mura compensation data to be measured is determined. Before determining the average value of the multiple Mura compensation data to be measured, the average value of the data voltage in each actual region to be measured can be calculated, so that the average value of the multiple Mura compensation data to be measured is determined.
Respectively calculating the difference between the multiple Mura compensation data to be detected and the average, comparing the difference with a preset threshold, and if the difference is larger than the preset threshold, taking the display panel to be detected corresponding to the Mura compensation data to be detected as an abnormal display panel; if the difference value is smaller than or equal to the preset threshold value, the display panel to be tested corresponding to the corresponding Mura compensation data to be tested is a normal display panel. The magnitude of the preset threshold value can be set according to the actual situation.
In this embodiment, mura compensation data of actual to-be-measured areas of a plurality of to-be-measured display panels are analyzed and processed to analyze and control fluctuation trend of the display panel process, so as to realize risk early warning.
The embodiment of the application also provides a detection device of the display panel, which comprises a Mura compensation data module, an actual region to be detected determining module, a Mura compensation data acquisition module to be detected and an abnormality detection module.
The Mura compensation data module is used for acquiring a plurality of Mura compensation data, and each Mura compensation data corresponds to a display panel to be tested.
The actual region to be measured determining module is used for determining an actual region to be measured of each display panel to be measured based on each Mura compensation data.
The to-be-measured Mura compensation data acquisition module is used for acquiring to-be-measured Mura compensation data corresponding to an actual to-be-measured area of the to-be-measured display panel.
The abnormality detection module is used for judging whether the display to be detected is an abnormal display panel or not according to the Mura compensation data to be detected.
According to the display panel detection device, the process fluctuation of the fixed area of the display panel to be detected is analyzed by acquiring the Mura compensation data to be detected corresponding to the display panels to be detected, so as to judge whether the display panel to be detected is an abnormal display panel.
The foregoing is only examples of the present application, and is not intended to limit the scope of the patent application, and all equivalent structures or equivalent processes using the descriptions and the contents of the present application or other related technical fields are included in the scope of the patent application.
Claims (10)
1. The detection method of the display panel is characterized by comprising the following steps of:
acquiring multiple Mura compensation data ， Each Mura compensation data corresponds to a display panel to be tested;
determining an actual to-be-measured area of each to-be-measured display panel based on each Mura compensation data;
obtaining Mura compensation data to be detected corresponding to each actual region to be detected;
judging whether the display panel to be tested is an abnormal display panel or not according to the Mura compensation data to be tested.
2. The method according to claim 1, wherein the step of obtaining a plurality of Mura compensation data, each of the Mura compensation data corresponding to a display panel to be tested, comprises:
acquiring first Mura compensation data of fixed-position pixels of each display panel to be tested;
performing interpolation calculation on the first Mura compensation data to obtain second Mura compensation data corresponding to the non-fixed position pixels;
and obtaining the Mura compensation data of each display panel to be tested through the first Mura compensation data and the second Mura compensation data.
3. The method of claim 1, wherein the step of determining an actual test area of each display panel to be tested based on each Mura compensation datum comprises:
setting one Mura compensation data as display data;
acquiring a display image corresponding to the display panel to be tested based on the display data;
determining a preset region to be detected of the display panel to be detected according to the display image;
and setting the preset region to be measured as an actual region to be measured of each display panel to be measured.
4. The method according to claim 3, wherein the step of determining a preset area to be measured of the display panel to be measured from the display image comprises:
determining a first region to be tested of the display panel to be tested according to the display image;
determining a target pixel based on the first region to be detected;
determining a second region to be tested of the display panel to be tested according to the target pixel;
and taking the second region to be measured as a preset region to be measured of the display panel to be measured.
5. The method according to claim 4, wherein the step of determining a target pixel based on the first region to be detected comprises:
determining boundary point coordinates corresponding to the first region to be detected;
determining preset coordinates meeting preset conditions according to the boundary point coordinates;
and determining the pixel corresponding to the preset coordinate as the target pixel.
6. The method according to claim 5, wherein the step of determining preset coordinates satisfying a preset condition according to the boundary point coordinates comprises:
rounding the coordinates of the boundary points;
judging whether the coordinates of the boundary points after rounding processing are in the first area to be measured or not;
and if the boundary point coordinates after rounding processing are in the first region to be measured, the boundary point coordinates after rounding processing are the preset coordinates meeting the preset conditions.
7. The method according to claim 4, wherein the step of determining the second area to be measured of the display panel according to the target pixel comprises:
if the target pixel is one, setting an area corresponding to the target pixel as a second area to be measured of the display panel to be measured;
if the number of the target pixels is two, setting the area corresponding to the linear distance between the two target pixels as a second area to be measured of the display panel to be measured;
and if the number of the target pixels is at least three, setting the area formed by surrounding at least three target pixels as a second area to be measured of the display panel to be measured.
8. The method according to claim 1, wherein the step of determining whether the display panel to be tested is an abnormal display panel according to the plurality of Mura compensation data to be tested comprises:
determining the mode in the Mura compensation data to be tested, and taking the mode as a preset threshold;
if the Mura compensation data to be detected is different from the preset threshold value, the display panel to be detected corresponding to the Mura compensation data to be detected is an abnormal display panel;
and if the Mura compensation data to be detected is equal to the preset threshold value, the display panel to be detected corresponding to the Mura compensation data to be detected is a normal display panel.
9. The method according to claim 1, wherein the step of determining whether the display panel to be tested is an abnormal display panel according to the plurality of Mura compensation data to be tested comprises:
determining an average value in a plurality of Mura compensation data to be tested;
respectively calculating the difference values between the Mura compensation data to be detected and the average value;
comparing the difference value with a preset threshold value, and if the difference value is larger than the preset threshold value, determining that the display panel to be detected corresponding to the Mura compensation data to be detected is an abnormal display panel;
and if the difference value is smaller than or equal to the preset threshold value, the display panel to be tested corresponding to the Mura compensation data to be tested is a normal display panel.
10. A display panel detection device, comprising:
the Mura compensation data module is used for acquiring a plurality of Mura compensation data, and each Mura compensation data corresponds to a display panel to be tested;
the actual to-be-measured area determining module is used for determining an actual to-be-measured area of each display panel to be measured based on each Mura compensation data;
the to-be-measured Mura compensation data acquisition module is used for acquiring to-be-measured Mura compensation data corresponding to an actual to-be-measured area of the to-be-measured display panel;
the abnormality detection module is used for judging whether the display panel to be detected is an abnormal display panel or not according to the Mura compensation data to be detected.
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| CN202310317073.2A CN117518540A (en) | 2023-03-21 | 2023-03-21 | Display panel detection method and detection device |
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