Picture detection method of display panel and display panel

Abstract

The invention discloses a picture detection method of a display panel and the display panel, and the picture detection method comprises the steps: detecting a change region of a common voltage of a current picture, and marking the change region as a target region; dividing the target area into a plurality of sub-unit areas, comparing the gray scales of each sub-unit area and a preset area, if the gray scales are the same, marking the gray scales as 1, if the gray scales are different, marking the gray scales as 0, calculating the number of 1 after comparison, if the number of 1 is greater than or equal to N, starting a picture detection mechanism, and if the number of 1 is less than N, not starting the picture detection mechanism; wherein N is a natural number greater than or equal to 2. According to the application, the target area of the picture is detected and compared with the preset area, and the picture detection mechanism is controlled to be started according to the comparison result, so that the problem that the partial area of the display picture is relatively bright or relatively dark due to the fact that the voltage on the common line shakes due to the change of the positive and negative polarity voltage is solved.

Description

Technical Field

[0001] The present application relates to the field of display technology, and in particular to a display panel image detection method and a display panel. Background Art

[0002] Compared with traditional CRT (cathode ray tube technology) and plasma, a major advantage of TFT-LCD (Thin Film Transistor Liquid Crystal Display) LCD TV is power saving. LCD monitors only consume half the power of CRTs of the same size, and are much lower than plasma. The display area of ​​the LCD monitor itself has no radiation at all, only a small amount of electromagnetic waves from the drive circuit. As long as the shell is strictly sealed, EMI (Electromagnetic Interference) can be reduced, so its radiation index is generally lower than that of CRT. LCD monitors have a large visible area. LCD monitors control the state of liquid crystal molecules through electrodes on the display screen to achieve the display purpose. Even if the screen is enlarged, its volume will not increase proportionally (only the size is increased without increasing the thickness, so many products provide wall-mounting function, which allows users to save more space), and it is much lighter in weight than traditional monitors with the same display area. The weight of LCD TVs is about 1 / 3 of that of traditional TVs, so LCD monitors are also called cold monitors or environmentally friendly monitors. Currently, LCD monitors are developing towards higher resolution, higher display quality, and larger size. Liquid crystal works by relying on different voltages at both ends, different rotations, and different light transmittances. When performing polarity reversal (dot reversal), the common voltage VCOM on the common line is easily interfered by the data line. Compared with the optimal VCOM, VCOM has voltage jitter, and this jitter will cause abnormalities such as crosstalk on the screen. Summary of the invention

[0003] The purpose of the embodiments of the present application is to provide a picture detection method and a display panel capable of improving display abnormality caused by common voltage jitter when polarity changes.

[0004] The present application discloses a screen detection method for a display panel, the screen detection method comprising: S1: Detect the change area of ​​the common voltage of the current screen and mark it as the target area; S2: Divide the target area into multiple sub-unit areas, compare the grayscale of each sub-unit area with the grayscale of the preset area, mark them as 1 if they are the same, and mark them as 0 if they are different. After the comparison is completed, calculate the number of 1s, and if it is greater than or equal to N, start the screen detection mechanism, and if it is less than N, do not start the screen detection mechanism; Wherein, N is a natural number greater than or equal to 2.

[0005] Optionally, the subunit area includes at least 4 cells, which are arranged in two rows and two columns, the first row and the first column are y1, the first row and the second column are y2, the second row and the first column are s1, and the second row and the second column are s2, the preset area has the same number of cells as the subunit area, the first row and the first column are A1, the first row and the second column are A2, the second row and the first column are B1, and the second row and the second column are B2, and the step S2 includes the following steps: S21: Take y1 as the starting end of the detection and comparison, detect cells row by row, and when y1 is judged, compare A1 and y1 in the preset area, if they hit, then compare A2 and y2, if they hit, then mark y1 as start A; if A2 and y2 do not hit, then compare y2 and A1, erase the starting end mark of y1, if A1 and y2 hit, then mark y2 as start A; S22: After marking the start end of the first row, the second row uses s1 as the detection start end, and continues to compare s1 and B1, and s2 and B2. B1 and s1 are compared. If they hit, B2 and s2 are compared. If they hit, s1 is marked as start B; if B2 and s2 do not hit, s2 is compared with B1, and the start end mark of s1 is erased. If A1 and y2 hit, s2 is marked as start B; S23: When the comparison between the current sub-unit area and the preset area is a hit, the current sub-unit area is marked as 1. If any comparison result is a miss in the above comparison, the next sub-unit area is detected and compared again.

[0006] Optionally, in step S22, when determining the A category, it is necessary to record the last position x(n) and x(n+1) of the subunit area corresponding to A1 / A2; when determining the B category, it is also necessary to record the last position y(m) / y(m+1) of the subunit area corresponding to B1 / B2; Compare the sizes of m and n, and take the smaller one when calculating the total number, that is, the total number of detections in a row is reduced to (m-start) / 2=5.

[0007] Optionally, step S2 further includes: Determine whether the sub-unit area in the target area is split. If split, after the previous sub-unit area comparison is completed, find the starting end and the end end again. For each sub-unit area detected and compared, the hit sub-unit area count is 1, and the hit sub-unit area count is 0; Record the total number of hits in two lines , calculate the total area of ​​the detection area , compare the total area with the preset area S, if ≥S, then enter the picture detection mechanism; in, = , p represents the number of segments to be divided, Indicates the number of hits per segment; the area of ​​the detection area = , V represents the number of display screen rows, S represents the critical area of ​​the screen detection mechanism, and K is a natural number.

[0008] Optionally, two adjacent sub-unit areas are respectively the first sub-unit area and the second sub-unit area, the cell in the first row and second column of the first sub-unit area and the cell in the first row and first column of the second sub-unit area are the same cell, and the cell in the second row and second column of the first sub-unit area and the cell in the second row and first column of the second sub-unit are the same cell.

[0009] Optionally, the picture detection method further includes a detection step, and the detection step includes: After the screen detection mechanism function is started, a polarity inversion control signal is output to the driving circuit to determine whether the crosstalk area of ​​the current screen is the target area; if so, the screen detection mechanism continues to be started; if not, the screen is re-detected to determine the area where the screen detection mechanism needs to be started.

[0010] Optionally, the picture detection method further includes the following steps: After the screen detection mechanism function is started, if the total number of 1s in the sub-unit area is detected to be less than N, the screen detection mechanism is exited.

[0011] Optionally, the subunit area includes at least 4 cells, which are arranged in two rows and two columns, the first row and the first column are y1, the first row and the second column are y2, the second row and the first column are s1, and the second row and the second column are s2, the preset area has the same number of cells as the subunit area, the first row and the first column are A1, the first row and the second column are A2, the second row and the first column are B1, and the second row and the second column are B2, and the step S2 includes the following steps: Take y1 as the starting end of detection and comparison. When judging y1, compare A1 and y1 in the preset area. If they hit, compare A2 and y2. If they hit, take s1 as the starting end of detection. When judging s1, compare B1 and s1 in the preset area. If they hit, compare B2 and s2. If they hit, mark the current sub-unit area as 1; if any comparison result does not hit in the above comparison, re-detect and compare the next sub-unit area.

[0012] The present application also discloses a display panel, which is driven using any of the above-described image detection methods. The display panel includes a detection module, a comparison module, a counting module, and an image detection mechanism startup module. The detection module detects the change area of ​​the current image common voltage and marks it as a target area; the comparison module compares the grayscale of each sub-unit area with that of a preset area, and feeds the comparison result back to the counting module. The counting module counts according to the comparison result, and if the grayscale of the sub-unit area is the same as that of the preset area, it is marked as 1, and if it is different, it is marked as 0. After the comparison is completed, the number of 1s is calculated. If it is greater than or equal to N, the image detection mechanism startup module is controlled to start the image detection mechanism. If it is less than N, the image detection mechanism startup module is controlled not to start the image detection mechanism.

[0013] Optionally, the display panel also includes a detection module, which is respectively connected to the detection module and the picture detection mechanism startup module, and the detection module detects whether the crosstalk area of ​​the current picture is the target area; if so, the picture detection mechanism startup module is controlled to continue to turn on the picture detection mechanism; if not, the detection module is controlled to re-detect the picture and determine the area where the picture detection mechanism needs to be turned on.

[0014] Compared with the solution of directly adjusting the common voltage, the present application detects the change area of ​​the common voltage of the current screen and marks it as the target area, divides the target area into multiple sub-unit areas, and compares the grayscale of each sub-unit area with that of the preset area. If they are the same, they are marked as 1, and if they are different, they are marked as 0. After the comparison is completed, the number of 1s is calculated. If it is greater than or equal to N, the screen detection mechanism is started, and if it is less than N, the screen detection mechanism is not started; each small area is compared with the grayscale of the preset area to determine whether there is a crosstalk problem in the current area, and then the screen detection mechanism is started to adjust to change the display polarity of the data, thereby avoiding the jitter problem of the common voltage caused by the large change in data polarity, and then improving the screen crosstalk or abnormal screen display caused by the jitter of the common voltage. BRIEF DESCRIPTION OF THE DRAWINGS

[0015] The included drawings are used to provide a further understanding of the embodiments of the present application, which constitute a part of the specification, are used to illustrate the implementation methods of the present application, and together with the text description, explain the principles of the present application. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without creative work. In the drawings: Figure 1 is a flowchart of a picture detection method according to a first embodiment of the present application; Figure 2 is a flowchart of a picture detection method according to a second embodiment of the present application; Figure 3 is an exemplary schematic diagram of a preset area cell of the present application; Figure 4 is a target area detection schematic diagram (1) of the second embodiment of the present application; Figure 5 is a target area detection schematic diagram (2) of the second embodiment of the present application; Figure 6 is a flowchart of a picture detection method according to a third embodiment of the present application; Figure 7 is a schematic diagram of target area detection according to the third embodiment of the present application; Figure 8 is a flowchart of a picture detection method according to a fourth embodiment of the present application; Fig. 9 It is a schematic structural diagram of a display panel of the fifth embodiment of the present application.

[0016] Among them, 100 is a display panel; 110 is a detection module; 120 is a comparison module; 130 is a counting module; 140 is a picture detection mechanism starting module; and 150 is a detection module. DETAILED DESCRIPTION

[0017] It should be understood that the terms used herein, the specific structures and functional details disclosed are only for describing specific embodiments and are representative, but the present application can be implemented in many alternative forms and should not be construed as being limited to only the embodiments described herein.

[0018] The present application is described in detail below with reference to the accompanying drawings and optional embodiments.

[0019] refer to Figure 1 As shown, as a first embodiment of the present application, the picture detection method includes: S1: Detect the change area of ​​the common voltage of the current screen and mark it as the target area; S2: Divide the target area into multiple sub-unit areas, compare the grayscale of each sub-unit area with the grayscale of the preset area, mark them as 1 if they are the same, and mark them as 0 if they are different. After the comparison is completed, calculate the number of 1s. If it is greater than or equal to N, start the screen detection mechanism. If it is less than N, do not start the screen detection mechanism. Wherein, N is a natural number greater than or equal to 2.

[0020] Taking into account the influence of the positive and negative polarities of the display panel on the common voltage on the common line, back to the appearance of the crosstalk picture, the present application detects the change area of ​​the common voltage of the current picture line and marks it as the target area; divides the target area into multiple sub-unit areas, and compares the grayscale of each sub-unit area with that of the preset area. Through the subdivided sub-unit areas, it is possible to more accurately determine whether the detected area needs to turn on the picture detection mechanism. It is not turned on from the front, but is targeted at a specific area, and the specific area, namely the target area, is judged. The grayscale of each sub-unit area is compared with that of the preset area. If they are the same, they are marked as 1, and if they are different, they are marked as 0. After the comparison is completed, the number of 1s is calculated. If it is greater than or equal to N, the picture detection mechanism is started, thereby changing the polarity on the data line, reducing the interference of the positive and negative polarities on the common voltage on the common line, and improving the picture crosstalk problem; if it is less than N, the picture detection mechanism is not started to avoid mistaken activation, thereby affecting the normal display of the picture and increasing power consumption.

[0021] like Figure 2 As shown, as the second embodiment of the present application, it is a further refinement and improvement of the above-mentioned first embodiment, the sub-unit area includes at least 4 cells, which are arranged in two rows and two columns, the first row and the first column are y1, the first row and the second column are y2, the second row and the first column are s1, and the second row and the second column are s2. The number of cells in the preset area is the same as that in the sub-unit area, the first row and the first column are A1, the first row and the second column are A2, the second row and the first column are B1, and the second row and the second column are B2. The step S2 includes the following steps: S21: Take y1 as the starting end of the detection and comparison, detect cells row by row, and when y1 is judged, compare A1 and y1 in the preset area, if they hit, then compare A2 and y2, if they hit, then mark y1 as start A; if A2 and y2 do not hit, then compare y2 and A1, erase the starting end mark of y1, if A1 and y2 hit, then mark y2 as start A; S22: After marking the start end of the first row, the second row uses s1 as the detection start end, and continues to compare s1 and B1, and s2 and B2. B1 and s1 are compared. If they hit, B2 and s2 are compared. If they hit, s1 is marked as start B; if B2 and s2 do not hit, s2 is compared with B1, and the start end mark of s1 is erased. If A1 and y2 hit, s2 is marked as start B; S23: When the comparison between the current sub-unit area and the preset area is a hit, the current sub-unit area is marked as 1. If any comparison result is a miss in the above comparison, the next sub-unit area is detected and compared again.

[0022] In this embodiment, taking each sub-unit area including four cells as an example, each cell may correspond to one pixel area or multiple pixel areas, which may be selected and set according to the requirements and the computing power of the corresponding chip; Figures 3 to 5 As shown, 1 / 2... represents columns; x / y / s / k represents rows, and the minimum unit of judgment is each row. When judging y1, Figure 3 A1 and Figure 4 Compare with y1 in the above table, hit; then compare A2 and y2, if hit, then mark as, if NG at this time, here, y2 cannot be immediately judged out directly, but compared with A1 again, erase the Start mark of y1; that is, use A1 to start a new Start starting point judgment, if y2 meets the requirements, then start is y2, if not, continue to go down; the judgment of the second row after start is found, that is, row B, is also the same, such as Figure 4 As shown, it is a schematic diagram of the difference between the second row of the new and old parts. It can be seen that a cyclic judgment will be made on the StartB position (if s2 does not satisfy B2, then s2 will be used as Start to start again. If s2 does not satisfy B1, then s3 will continue to be found as Start, and so on).

[0023] In addition, it should be noted that when judging the A category, it is necessary to record the last position x(n) and x(n+1) of the sub-unit area corresponding to A1 / A2; when judging the B category, it is also necessary to record the last position y(m) / y(m+1) of the sub-unit area corresponding to B1 / B2; compare the sizes of m and n, and take the smaller one when calculating the total number, that is, the total number of detections in a row is reduced to (m-start) / 2=5.

[0024] Considering that there are inconsistent endings of sub-cells in the sub-cell area of ​​the target region, e.g. Figure 5 Taking the figure as an example, for this situation, which is equivalent to the end point being inconsistent at the end of the module, that is, the first and second columns in the red box are different from the previous first and second columns, then when determining Class A, it is necessary to record the last A1 / A2 position, x(n) and x(n+1) (need to be adjacent, n=12 in the figure); similarly, when determining Class B, it is also necessary to record the last B1 / B2 position, y(m) / y(m+1) (need to be adjacent, m=10 in the figure); compare the sizes of m and nss, and take the smaller one when calculating the total number, that is, the total number of detections in a row is reduced to (m-start) / 2=5; thereby avoiding the sub-cells in a row that do not need to turn on the screen detection mechanism to affect the display of other areas.

[0025] Generally, when detecting and comparing, the comparison is performed in a manner of overlapping one column. Specifically, two adjacent sub-unit areas are the first sub-unit area and the second sub-unit area, the cell in the first row and second column of the first sub-unit area and the cell in the first row and first column of the second sub-unit area are the same cell, and the cell in the second row and second column of the first sub-unit area and the cell in the second row and first column of the second sub-unit are the same cell. In this way, each column can be used as the starting end for re-detection and comparison, thereby avoiding omission of 2.3 columns when detecting in the form of 1.2 columns and 3.4 columns, thereby causing inaccurate detection.

[0026] Furthermore, the image detection method further includes a detection step, and the detection step includes: After the screen detection mechanism function is started, a polarity inversion control signal is output to the driving circuit to determine whether the crosstalk area of ​​the current screen is the target area; if so, the screen detection mechanism continues to be started; if not, the screen is re-detected to determine the area where the screen detection mechanism needs to be started.

[0027] Through re-testing, it is determined whether the area where the screen detection mechanism was originally turned on is accurate, and the detection method is verified to further ensure the accuracy of the area where the screen detection mechanism is turned on.

[0028] like Figure 6 As shown, as the third embodiment of the present application, it is a further improvement of the second embodiment. In each row of the area to be detected, partial segmentation may occur. The step S2 further includes: S261: Determine whether the sub-unit area in the target area is segmented. If segmented, after the previous sub-unit area comparison is completed, find the start end and the end end again. For each sub-unit area detected and compared, the hit sub-unit area count is 1, and the hit sub-unit area count is 0; S262: Record the total number of hits in two rows , calculate the total area of ​​the detection area , compare the total area with the preset area S, if ≥S, then enter the picture detection mechanism; in, = , p represents the number of segments to be divided, Indicates the number of hits per segment; the area of ​​the detection area = , V represents the number of display screen rows, S represents the critical area of ​​the screen detection mechanism, and K is a natural number.

[0029] In this embodiment, Figure 7For example, there are three kinds of discontinuities in the middle, red 1 / red 2 / red 3. For this, first determine the starting point and end point of green 1, and then calculate the number of OK squares in green 1, that is, the end of green 1 minus the start of green 1 divided by 2; For red 1, it is equivalent to looking for start in the entire 2*2 square, that is, it ends after green 1, and then judges the new start2 of green 2 (A1 / A2 and B1 / B2 / are the same) and starts again; red 2 is in the module (start is followed by the smallest square 2*2 every two rows), the first row meets the requirements, and the second row does not meet the requirements. When the second row does not meet the requirements, the second row will continue to look for a new start3. After finding it, it is necessary to judge whether this B-type 1*2 square meets the requirements. If it meets the requirements, the next step is to judge; whether the first row is a hit, if not, it is necessary to continue to find start3 until the end of the hit is found; for example, in the figure, y9 / y10 meets the B-type 1*2 square, but x9 does not meet A1 (if x10 does not meet A2, the situation is the same), then start3 needs to continue to find y12. At this time, y12 / y13 meets, and x12 / 13 meets A1 / A2, then start3 is y12, that is, this module (xy two rows) 8~12 This section does not count. At this time, in the second section, the number of OK squares is only here for green 2, that is, the end of green 2 minus the start of green 2 divided by 2; and for red 3, when the second row meets the requirement but the first row does not, then find the start again in the first row (equivalent to finding the start of the entire 2*2 square), which is the same as step 3 / 9; the number of OK squares is only here for green 3, that is, the end of green 3 minus the start of green 3 divided by 2; In this embodiment, after the segmentation occurs, the starting point and the end point are re-found, and then only the OK part of each segment is counted, and the rest is discarded; then the total number of the two lines is recorded = Where p represents the number of segments to be divided. represents the number of hits per segment; where area = , V represents the number of display screen lines, if ≥S, S is set in advance, indicating that the PDF area critical point is reached, PDF is hit, and the screen detection mechanism is started; in addition, after the screen detection mechanism function is started, if the total number of 1s detected in the sub-unit area is less than N, the screen detection mechanism is exited.

[0030] like Figure 8 As shown, as the fourth embodiment of the present application, different from the above second embodiment, the step S2 includes the following steps: S281: Take y1 as the starting end of detection and comparison. When judging y1, compare A1 and y1 in the preset area. If they are a hit, compare A2 and y2. If they are a hit, take s1 as the starting end of detection. When judging s1, compare B1 and s1 in the preset area. If they are a hit, compare B2 and s2. If they are a hit, mark the current sub-unit area as 1; if any comparison result is a miss in the above comparison, re-detect and compare the next sub-unit area.

[0031] In this embodiment, the sub-unit area is divided into two rows, and the algorithm is changed from 2*2 comparison to 1*2 comparison of different specifications (A1 / B1) twice, instead of directly retaining two rows of data, and then calculating the total number of hit squares within the two rows, and then proceeding to the next cycle; to avoid complex calculations under large resolution, such as 3840*2160 resolution calculation, it is necessary to store 2*3840 data, which consumes a lot of memory, and the types of squares include not only 2*2, but also 4*4, 6*6 or even more squares, which consumes more storage, and this part will cause the need for large wafers to manufacture ICs, thereby increasing the cost of ICs.

[0032] like Fig. 9 As shown, as the fifth embodiment of the present application, a display panel 100 is disclosed. The display panel 100 is driven using the picture detection method described in any of the above embodiments. The display panel 100 includes a detection module 110, a comparison module 120, a counting module 130 and a picture detection mechanism starting module 140. The detection module 110 detects the change area of ​​the common voltage of the current picture and marks it as a target area; the comparison module 120 compares the grayscale of each sub-unit area with that of the preset area, and feeds the comparison result back to the counting module 130. The counting module 130 counts according to the comparison result. If the grayscale of the sub-unit area is the same as that of the preset area, it is marked as 1, and if it is different, it is marked as 0. After the comparison is completed, the number of 1 is calculated. If it is greater than or equal to N, the picture detection mechanism starting module 140 is controlled to start the picture detection mechanism. If it is less than N, the picture detection mechanism starting module 140 is controlled not to start the picture detection mechanism.

[0033] In this embodiment, the detection module 110 detects the change area of ​​the current screen common voltage and marks it as the target area; the target area is divided into a plurality of sub-unit areas, and the comparison module 120 compares the grayscale of each sub-unit area with that of the preset area. Through the subdivided sub-unit areas, it can be more accurately determined whether the detected area needs to turn on the screen detection mechanism. It is not turned on directly, but for a specific area, and the specific area, i.e., the target area, is judged. The grayscale of each sub-unit area is compared with that of the preset area. If it is higher than you, the comparison result is fed back to the counting module 130. If they are the same, the counting module 130 will It is marked as 1, and if different, it is marked as 0. After the comparison is completed, the number of 1s is calculated. If it is greater than or equal to N, the screen detection mechanism startup module 140 is controlled to start the screen detection mechanism, thereby changing the polarity on the data line, reducing the interference of positive and negative polarities on the common voltage on the common line, and improving the screen crosstalk problem; if it is less than N, the screen detection mechanism is not started to avoid mistaken startup, thereby affecting the normal display of the picture and increasing power consumption; after starting the screen detection mechanism function, if the total number of 1s detected in the sub-unit area is less than N, the screen detection mechanism startup module 140 is controlled to exit the screen detection mechanism.

[0034] Furthermore, in order to ensure the accuracy of the area where the screen detection mechanism is turned on, the display panel 100 also includes a detection module 150, and the detection module 150 is respectively connected to the detection module 110 and the screen detection mechanism startup module 140, and the detection module 150 detects whether the crosstalk area of ​​the current screen is the target area; if so, the screen detection mechanism startup module 140 is controlled to continue to turn on the screen detection mechanism; if not, the detection module 110 is controlled to re-detect the screen to determine the area where the screen detection mechanism needs to be turned on.

[0035] It should be noted that the limitations of the various steps involved in this scheme, without affecting the implementation of the specific scheme, are not considered to limit the order of the steps, that is, the steps written in front can be executed first, or can be executed later, or even simultaneously. As long as this scheme can be implemented, it should be considered to belong to the scope of protection of this application. The inventive concept of this application can form a lot of embodiments, but the length of the application document is limited and cannot be listed one by one. Therefore, under the premise of no conflict, the various embodiments or technical features described above can be arbitrarily combined to form a new embodiment. After the various embodiments or technical features are combined, the original technical effect will be enhanced.

[0036] The above content is a further detailed description of the present application in combination with specific optional implementation methods, and it cannot be determined that the specific implementation of the present application is limited to these descriptions. For ordinary technicians in the technical field to which the present application belongs, several simple deductions or substitutions can be made without departing from the concept of the present application, which should be deemed to fall within the scope of protection of the present application.

Claims

1. A method for detecting an image of a display panel, characterized in that: The picture detection method comprises: S1: Detect the change area of ​​the common voltage of the current screen and mark it as the target area; S2: Divide the target area into multiple sub-unit areas, compare the grayscale of each sub-unit area with the grayscale of the preset area, mark them as 1 if they are the same, and mark them as 0 if they are different. After the comparison is completed, calculate the number of 1s, and if it is greater than or equal to N, start the screen detection mechanism, and if it is less than N, do not start the screen detection mechanism; Wherein, N is a natural number greater than or equal to 2.

2. The image detection method according to claim 1, wherein: The subunit area includes at least 4 cells, which are arranged in two rows and two columns, the first row and the first column are y1, the first row and the second column are y2, the second row and the first column are s1, and the second row and the second column are s2. The number of cells in the preset area is the same as that in the subunit area, the first row and the first column are A1, the first row and the second column are A2, the second row and the first column are B1, and the second row and the second column are B2. The step S2 includes the following steps: S21: Take y1 as the starting end of the detection and comparison, detect cells row by row, and when y1 is judged, compare A1 and y1 in the preset area, if they hit, then compare A2 and y2, if they hit, then mark y1 as start A; if A2 and y2 do not hit, then compare y2 and A1, erase the starting end mark of y1, if A1 and y2 hit, then mark y2 as start A; S22: After marking the start end of the first row, the second row uses s1 as the detection start end, and continues to compare s1 and B1, and s2 and B2. B1 and s1 are compared. If they hit, B2 and s2 are compared. If they hit, s1 is marked as start B; if B2 and s2 do not hit, s2 is compared with B1, and the start end mark of s1 is erased. If A1 and y2 hit, s2 is marked as startB; S23: When the comparison between the current sub-unit area and the preset area is a hit, the current sub-unit area is marked as 1. If any comparison result is a miss in the above comparison, the next sub-unit area is detected and compared again.

3. The image detection method according to claim 2, wherein: In step S22, when determining the A category, it is necessary to record the last position x(n) and x(n+1) of the subunit area corresponding to A1 / A2; when determining the B category, it is also necessary to record the last position y(m) / y(m+1) of the subunit area corresponding to B1 / B2; Compare the sizes of m and n, and take the smaller one when calculating the total number, that is, the total number of detections in a row is reduced to (m-start) / 2=5.

4. The image detection method according to claim 2, wherein: The step S2 further comprises: Determine whether the sub-unit area in the target area is split. If split, after the previous sub-unit area comparison is completed, find the starting end and the end end again. For each sub-unit area detected and compared, the hit sub-unit area count is 1, and the hit sub-unit area count is 0; Record the total number of hits in two lines , calculate the total area of ​​the detection area , compare the total area with the preset area S, if ≥S, then enter the picture detection mechanism; in, = , p represents the number of segments to be divided, Indicates the number of hits per segment; the area of ​​the detection area = , V represents the number of display screen rows, S represents the critical area of ​​the screen detection mechanism, and K is a natural number.

5. The image detection method according to claim 2, wherein: The two adjacent sub-unit areas are the first sub-unit area and the second sub-unit area, respectively. The cell in the first row and second column of the first sub-unit area and the cell in the first row and first column of the second sub-unit area are the same cell, and the cell in the second row and second column of the first sub-unit area and the cell in the second row and first column of the second sub-unit are the same cell.

6. The image detection method according to claim 1, wherein: The picture detection method further includes a detection step, and the detection step includes: After the screen detection mechanism function is started, a polarity inversion control signal is output to the driving circuit to determine whether the crosstalk area of ​​the current screen is the target area; if so, the screen detection mechanism continues to be started; if not, the screen is re-detected to determine the area where the screen detection mechanism needs to be started.

7. The image detection method according to claim 1, wherein: The picture detection method also includes the following steps: After the screen detection mechanism function is started, if the total number of 1s in the sub-unit area is detected to be less than N, the screen detection mechanism is exited.

8. The image detection method according to claim 1, wherein: The subunit area includes at least 4 cells, which are arranged in two rows and two columns, the first row and the first column are y1, the first row and the second column are y2, the second row and the first column are s1, and the second row and the second column are s2. The number of cells in the preset area is the same as that in the subunit area, the first row and the first column are A1, the first row and the second column are A2, the second row and the first column are B1, and the second row and the second column are B2. The step S2 includes the following steps: Take y1 as the starting end of detection and comparison. When judging y1, compare A1 and y1 in the preset area. If they hit, compare A2 and y2. If they hit, take s1 as the starting end of detection. When judging s1, compare B1 and s1 in the preset area. If they hit, compare B2 and s2. If they hit, mark the current sub-unit area as 1; if any comparison result does not hit in the above comparison, re-detect and compare the next sub-unit area.

9. A display panel driven by the image detection method according to any one of claims 1 to 8, characterized in that: The display panel includes a detection module, a comparison module, a counting module and a picture detection mechanism start module. The detection module detects the change area of ​​the common voltage of the current picture and marks it as a target area; the comparison module compares the grayscale of each sub-unit area with that of the preset area, and feeds back the comparison result to the counting module. The counting module counts according to the comparison result, if the grayscale of the sub-unit area is the same as that of the preset area, it is marked as 1, if it is different, it is marked as 0. After the comparison is completed, the number of 1 is calculated. If it is greater than or equal to N, the picture detection mechanism start module is controlled to start the picture detection mechanism. If it is less than N, the picture detection mechanism start module is controlled not to start the picture detection mechanism.

10. The display panel according to claim 9, wherein: The display panel also includes a detection module, which is connected to the detection module and the picture detection mechanism startup module respectively. The detection module detects whether the crosstalk area of ​​the current picture is the target area; if so, the picture detection mechanism startup module is controlled to continue to start the picture detection mechanism; if not, the detection module is controlled to re-detect the picture and determine the area where the picture detection mechanism needs to be started.

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