CN110942434B - Display compensation system and method of display panel - Google Patents
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- 238000001514 detection method Methods 0.000 claims abstract description 41
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- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/0002—Inspection of images, e.g. flaw detection
- G06T7/0004—Industrial image inspection
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
- G06T7/13—Edge detection
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/84—Systems specially adapted for particular applications
- G01N21/88—Investigating the presence of flaws or contamination
- G01N21/95—Investigating the presence of flaws or contamination characterised by the material or shape of the object to be examined
- G01N2021/9513—Liquid crystal panels
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
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- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30108—Industrial image inspection
- G06T2207/30121—CRT, LCD or plasma display
Abstract
The embodiment of the invention discloses a display compensation system and a display compensation method for a display panel. The display compensation system of the display panel includes: the controller is used for controlling the display panel to be detected to display a set calibration image; the image acquisition device is used for acquiring a set calibration image displayed on the display panel to be detected to obtain a first image; the controller is also used for carrying out distortion correction on the first image based on the straight line detection algorithm, and determining a correction model; the controller is also used for controlling the display panel to be detected to display a setting detection picture; the image acquisition device is also used for acquiring a setting detection picture displayed by the display panel to be detected to obtain a second image; the controller is also used for carrying out distortion correction on the second image based on the correction model to obtain a third image, and determining display compensation data of the display panel to be detected according to the third image. The embodiment of the invention simplifies the calibration process and improves the calibration precision, thereby improving the distortion correction precision and the compensation precision of the display panel.
Description
Technical Field
The embodiment of the invention relates to a display panel detection technology, in particular to a display compensation system and a display compensation method for a display panel.
Background
The large-size display panel needs to be subjected to display test before leaving the factory, and defects such as uneven display are compensated. During testing, visual imaging needs to be carried out on the display panel, lens barrel distortion generally exists in visual imaging, and the traditional method is solved based on a Zhang Zhengyou calibration method. The Zhang Zhengyou calibration method is mainly characterized in that the imaging images of different angle calibration plates are subjected to feature point detection, so that the maximum likelihood estimation internal parameters and the homography matrix external parameters of the camera are obtained, and the distortion coefficient is obtained.
Because the large-size display panel has a large view field, the plate fixing plate for manufacturing the plate fixing plate with the size of 1/3-1/2 of the view field has certain deformation, and an operator also has deformation when placing at different angles; in addition, due to the limitation of machining precision, a certain error exists in the customized calibration plate, so that the calibration error exists, and the solved distortion coefficient error exists, so that the compensation precision of the display panel is not high.
Disclosure of Invention
The invention provides a display compensation system and a display compensation method for a display panel, which are used for simplifying the calibration process and improving the calibration precision, so that the distortion correction precision and the display panel compensation precision are improved.
In a first aspect, an embodiment of the present invention provides a display compensation system of a display panel, including:
the controller is used for controlling the display panel to be detected to display a set calibration image;
the image acquisition device is used for acquiring a set calibration image displayed on the display panel to be detected, obtaining a first image and sending the first image to the controller;
the controller is further used for carrying out distortion correction on the first image based on a straight line detection algorithm, and determining a correction model;
the controller is also used for controlling the display panel to be detected to display a setting detection picture;
the image acquisition device is also used for acquiring a setting detection picture displayed by the display panel to be detected, obtaining a second image and sending the second image to the controller;
the controller is further used for carrying out distortion correction on the second image based on the correction model to obtain a third image, and determining display compensation data of the display panel to be detected according to the third image.
Optionally, the controller includes an edge detection module, a straight line detection module, an iteration module, and an image correction module;
the edge detection module is used for extracting an edge image of the first image based on an edge detection algorithm;
the straight line detection module is used for determining an initial parameter value of a parameter distortion model based on Hough transformation;
the iteration module is used for determining an optimal two-parameter distortion model based on an initial parameter value of the one-parameter distortion model and an iteration algorithm;
the image correction module is used for determining the correction model based on an optimal two-parameter distortion model.
Optionally, the correction model is:
wherein, (x) c ，y c ) Representing the centre of distortion, (x, y) representing the point in the image to be corrected, (x) 1 ，y 1 ) Representing points in the rectified image, r= | (x, y) - (x) c ，y c ) The I is the distance from the point in the image to be corrected to the distortion center, and L (r) is the distortion model.
Optionally, the one parameter distortion model is L1 (r) =1+k 1 r 2 The two-parameter distortion model is L2 (r) =1+k 1 r 2 +k 2 r 4 ；
Alternatively, the one parameter distortion model is L1 (r) =1/(1+k) 1 r 2 ) The two-parameter distortion model is L2 (r) =1/(1+k) 1 r 2 +k 2 r 4 )。
Optionally, the system further comprises:
and the position adjusting device is used for adjusting the relative position of the display panel to be detected and the image acquisition device.
Optionally, the set calibration image is a checkerboard image.
In a second aspect, an embodiment of the present invention further provides a display compensation method of a display panel, including:
the controller controls the display panel to be detected to display a set calibration image;
the image acquisition device acquires a set calibration image displayed on the display panel to be detected, a first image is obtained, and the first image is sent to the controller;
the controller corrects the distortion of the first image based on a straight line detection algorithm, and a correction model is determined;
the controller controls the display panel to be detected to display a setting detection picture;
the image acquisition device acquires a setting detection picture displayed by the display panel to be detected, obtains a second image, and sends the second image to the controller;
and the controller corrects the distortion of the second image based on the correction model to obtain a third image, and determines display compensation data of the display panel to be detected according to the third image.
Optionally, the distortion correction is performed on the first image based on a straight line detection algorithm, and determining the correction model includes:
extracting an edge image of the first image based on an edge detection algorithm;
determining an initial parameter value of a parameter distortion model based on Hough transformation;
determining an optimal two-parameter distortion model based on an initial parameter value of a parameter distortion model and an iterative algorithm;
the correction model is determined based on the optimal two-parameter distortion model.
Optionally, the correction model is:
wherein, (x) c ，y c ) Representing the centre of distortion, (x, y) representing the point in the image to be corrected, (x) 1 ，y 1 ) Representing points in the rectified image, r= | (x, y) - (x) c ，y c ) The I is the distance from the point in the image to be corrected to the distortion center, and L (r) is the distortion model.
Optionally, the one parameter distortion model is L1 (r) =1+k 1 r 2 The two-parameter distortion model is L2 (r) =1+k 1 r 2 +k 2 r 4 ；
Alternatively, the one parameter distortion model is L1 (r) =1/(1+k) 1 r 2 ) The two-parameter distortion model is L2 (r) =1/(1+k) 1 r 2 +k 2 r 4 )。
According to the embodiment of the invention, the calibration image is directly displayed and set on the display panel to be detected, the correction model of the image acquisition device is determined based on the first image shot by the image acquisition device, then the setting detection picture is displayed on the display panel to be detected, the second image shot by the image acquisition device is subjected to distortion correction based on the correction model, and the display compensation data of the display panel to be detected is determined according to the corrected third image. According to the embodiment, the calibration plate is not required, the calibration process is simplified, the solving precision of the correction model can be improved due to the calibration errors caused by the manufacturing errors, the placement position errors and the like of the calibration plate, the compensation precision of the display panel to be detected is improved, and the recalibration can be rapidly carried out when the display panel to be detected is switched or the camera is moved, so that the compensation speed of the display panel to be detected is improved. In addition, the embodiment adopts a straight line detection algorithm to correct distortion, has higher correction precision, and further improves the compensation precision of the display panel to be detected.
Drawings
Fig. 1 is a schematic structural diagram of a display compensation system of a display panel according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a display compensation system of another display panel according to an embodiment of the present invention;
FIG. 3 is a schematic illustration of a first image;
FIG. 4 is a schematic illustration of an edge detection image;
FIG. 5 is a schematic diagram of a straight line detected by iterative optimization;
FIG. 6 is a corrected image;
FIG. 7 is a schematic diagram of a display compensation system of another display panel according to an embodiment of the present invention;
fig. 8 is a flowchart of a display compensation method of a display panel according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
The present embodiment provides a display compensation system of a display panel, fig. 1 is a schematic structural diagram of the display compensation system of the display panel provided in the embodiment of the present invention, and referring to fig. 1, the system includes:
a controller 10 for controlling the display panel 20 to be detected to display a set calibration image;
the image acquisition device 30 is configured to acquire a set calibration image displayed on the display panel 20 to be detected, obtain a first image, and send the first image to the controller 10;
the controller 10 is further configured to correct the distortion of the first image based on the straight line detection algorithm, and determine a correction model;
the controller 10 is further configured to control the display panel 20 to be detected to display a setting detection screen;
the image acquisition device 30 is further configured to acquire a setting detection screen displayed on the display panel 20 to be detected, obtain a second image, and send the second image to the controller 10;
the controller 10 is further configured to correct distortion of the second image based on the correction model, obtain a third image, and determine display compensation data of the display panel to be detected according to the third image.
The set calibration image may include at least two straight lines with different extending directions, for example, may include at least two straight lines perpendicular to each other, and the exemplary set calibration image may be a checkerboard image. The image acquisition device 30 may include a camera, which is not limited to 16m,29m,47m,71m,101m,151m gray-scale and color cameras, a short-focus lens, and the like, and the focal length of the short-focus lens may be 25-65mm. The image capturing device 30 may have lens distortion, so that the first image captured by the image capturing device 30 and the set calibration image have a certain distortion, and the controller 10 determines a correction model of the lens distortion of the image capturing device 30 by detecting at least two straight lines with different extending directions in the first image and correcting the distortion of the straight lines. The setting detection image may be a grayscale image. When the display panel 20 to be detected is compensated, the second image acquired by the image acquiring device 30 has a certain distortion relative to the set detection image, the controller 10 corrects the distortion of the second image based on the correction model, and the third image obtained after correcting the distortion of the second image is closer to the set detection image, and by comparing the display brightness of each pixel point of the third image, it can be determined whether the display panel 20 to be detected has uneven display, and display compensation data is determined based on the display brightness.
In addition, the controller 10 is further configured to compensate the display panel 20 to be detected based on the display compensation data.
According to the embodiment, the calibration image is directly displayed and set on the display panel to be detected, the correction model of the image acquisition device is determined based on the first image shot by the image acquisition device, then the setting detection picture is displayed on the display panel to be detected, the second image shot by the image acquisition device is subjected to distortion correction based on the correction model, and the display compensation data of the display panel to be detected is determined according to the corrected third image. According to the embodiment, the calibration plate is not required, the calibration process is simplified, the solving precision of the correction model can be improved due to the calibration errors caused by the manufacturing errors, the placement position errors and the like of the calibration plate, the compensation precision of the display panel to be detected is improved, and the recalibration can be rapidly carried out when the display panel to be detected is switched or the camera is moved, so that the compensation speed of the display panel to be detected is improved. In addition, the embodiment adopts a straight line detection algorithm to correct distortion, has higher correction precision, and further improves the compensation precision of the display panel to be detected.
Fig. 2 is a schematic structural diagram of a display compensation system of another display panel according to an embodiment of the present invention, optionally, referring to fig. 2, the controller 10 includes an edge detection module 11, a straight line detection module 12, an iteration module 13, and an image correction module 14;
the edge detection module 11 is configured to extract an edge image of the first image based on an edge detection algorithm.
The straight line detection module 12 is configured to determine an initial parameter value of a parametric distortion model based on the Hough transform.
The iteration module 13 is configured to determine an optimal two-parameter distortion model based on an initial parameter value of the one-parameter distortion model and an iteration algorithm.
The image correction module 14 is configured to determine a correction model based on the optimal two-parameter distortion model.
Wherein, the edge detection module 11 estimates the edge direction through the image gradient based on the canny edge detection algorithm, removes the non-locally aligned edge point set (isolated point, the adjacent point set with high variance in the angle direction), and retains the adjacent point set with low variance in the edge direction, so as to reduce the calculation amount of the edge detection of the large-resolution image.
The line detection module 12 extracts a parametric distortion model by a modified Hough transform (Hough transform) and selects a set of lines in the first image based on a voting strategy.
The iteration module 13 reduces the distance from the point set to the Hou Xuanxian set by adjusting the parameters and the distortion center of the two-parameter distortion model based on the initial parameter value of the one-parameter distortion model, and the optimal linear set and the optimal two-parameter distortion model are obtained by repeatedly iterating to minimize the error of the Hough transformation linear set.
Optionally, the correction model is:
wherein, (x) c ，y c ) Representing the centre of distortion, (x, y) representing the point in the image to be corrected, (x) 1 ，y 1 ) Representing points in the rectified image, r= | (x, y) - (x) c ，y c ) The I is the distance from the point in the image to be corrected to the distortion center, and L (r) is the distortion model.
Optionally, the one parameter distortion model is L1 (r) =1+k 1 r 2 The two-parameter distortion model is L2 (r) =1+k 1 r 2 +k 2 r 4 ；
Alternatively, the one parameter distortion model is L1 (r) =1/(1+k) 1 r 2 ) The two-parameter distortion model is L2 (r) =1/(1+k) 1 r 2 +k 2 r 4 )。
In particular, radial distortion is largely divided into barrel distortion (short focal) and pincushion distortion (long focal), which are mainly caused by the manufacturing process and optical defects of the lens itself. And (5) establishing a correction model according to the pinhole imaging principle to correct the radial distortion.
Fig. 3 is a schematic view of the first image, fig. 4 is a schematic view of the edge detection image, fig. 5 is a schematic view of a straight line detected by iterative optimization, and fig. 6 is a corrected image. Referring to fig. 3-6, the edge detection module 11 detects the edge of the first image to obtain an edge image, the straight line detection module 12 detects the straight line in the edge image through Hough transform (Hough transform), and obtains an initial parameter value k of a parameter distortion model based on the line in the edge image and a preset calibration image 1 Obtaining a parameter distortion model. The iteration module 13 calculates k in the two-parameter distortion model based on the one-parameter distortion model 2 Performing assignment to obtain an assigned two-parameter distortion model, then iterating the two-parameter distortion model and a distortion center based on a straight line in an edge image and a preset calibration image, and continuously correcting k according to an iteration result 1 、k 2 And the distortion center is used for obtaining the optimal two-parameter distortion model when the error of the optimal straight line set is minimum, namely the straight lines in the optimal straight line set are all points on the same straight line in the preset calibration image.
Fig. 7 is a schematic structural diagram of a display compensation system of another display panel according to an embodiment of the present invention, and optionally, referring to fig. 7, the system further includes:
and a position adjusting device 40 for adjusting the relative position of the display panel 20 to be detected and the image acquisition device 30.
Specifically, the position adjusting device 40 may adjust the relative position of the display panel 20 to be detected and the image capturing device 30 by adjusting the position of the display panel 20 to be detected, and may also adjust the relative position of the display panel 20 to be detected and the image capturing device 30 by adjusting the position of the image capturing device 30.
Illustratively, the position adjusting device 40 may include a position adjusting platform 41 and a motor 42, where the position adjusting platform 41 may be a theta platform, and may perform an angle adjustment on the display panel 20 to be detected that is horizontally placed; the motor 42 may adjust the height of the image pickup device 30 so as to precisely adjust the distance between the display panel 20 to be inspected and the image pickup device 30. Wherein the motor 42 may be a servo motor.
The embodiment also provides a display compensation method of a display panel, and fig. 8 is a flowchart of the display compensation method of the display panel provided by the embodiment of the invention, and referring to fig. 8, the method includes:
And 530, the controller corrects the distortion of the first image based on the straight line detection algorithm, and determines a correction model.
And 560, the controller corrects the distortion of the second image based on the correction model to obtain a third image, and determines display compensation data of the display panel according to the third image.
Optionally, the distortion correction is performed on the first image based on a straight line detection algorithm, and determining the correction model includes:
extracting an edge image of the first image based on an edge detection algorithm;
determining an initial parameter value of a parameter distortion model based on Hough transformation;
determining an optimal two-parameter distortion model based on an initial parameter value of a parameter distortion model and an iterative algorithm;
and determining a correction model based on the optimal two-parameter distortion model.
Optionally, the correction model is:
wherein, (x) c ，y c ) Representing the centre of distortion, (x, y) representing the point in the image to be corrected, (x) 1 ，y 1 ) Representing points in the rectified image, r= | (x, y) - (x) c ，y c ) The I is the distance from the point in the image to be corrected to the distortion center, and L (r) is the distortion model.
Optionally, the one parameter distortion model is L1 (r) =1+k 1 r 2 The two-parameter distortion model is L2 (r) =1+k 1 r 2 +k 2 r 4 ；
Alternatively, the one parameter distortion model is L1 (r) =1/(1+k) 1 r 2 ) The two-parameter distortion model is L2 (r) =1/(1+k) 1 r 2 +k 2 r 4 )。
The display compensation method of the display panel provided by the embodiment and the display compensation system of the display panel provided by any embodiment of the invention belong to the same invention conception, have corresponding beneficial effects, and the detailed technical details of the embodiment are not shown in the display compensation system of the display panel provided by any embodiment of the invention.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, and that various obvious changes, rearrangements, combinations, and substitutions can be made by those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.
Claims (8)
1. A display compensation system for a display panel, comprising:
the controller is used for controlling the display panel to be detected to display a set calibration image;
the image acquisition device is used for acquiring a set calibration image displayed on the display panel to be detected, obtaining a first image and sending the first image to the controller;
the controller is further used for carrying out distortion correction on the first image based on a straight line detection algorithm, and determining a correction model;
the controller is also used for controlling the display panel to be detected to display a setting detection picture;
the image acquisition device is also used for acquiring a setting detection picture displayed by the display panel to be detected, obtaining a second image and sending the second image to the controller;
the controller is further used for carrying out distortion correction on the second image based on the correction model to obtain a third image, and determining display compensation data of the display panel to be detected according to the third image;
the correction model is as follows:
wherein, (x) c ，y c ) Representing the centre of distortion, (x, y) representing the point in the image to be corrected, (x) 1 ，y 1 ) Representing points in the rectified image, r= | (x, y) - (x) c ，y c ) The I is the distance from the point in the image to be corrected to the distortion center, and L (r) is the distortion model.
2. The system according to claim 1, wherein:
the controller comprises an edge detection module, a straight line detection module, an iteration module and an image correction module;
the edge detection module is used for extracting an edge image of the first image based on an edge detection algorithm;
the straight line detection module is used for determining an initial parameter value of a parameter distortion model based on Hough transformation;
the iteration module is used for determining an optimal two-parameter distortion model based on an initial parameter value of the one-parameter distortion model and an iteration algorithm;
the image correction module is used for determining the correction model based on an optimal two-parameter distortion model.
3. The system according to claim 2, wherein:
the one parameter distortion model is L1 (r) =1+k 1 r 2 The optimal two-parameter distortion model is L2 (r) =1+k 1 r 2 +k 2 r 4 ；
Alternatively, the one parameter distortion model is L1 (r) =1/(1+k) 1 r 2 ) The optimal two-parameter distortion model is L2 (r) =1/(1+k) 1 r 2 +k 2 r 4 )。
4. The system of claim 1, further comprising:
and the position adjusting device is used for adjusting the relative position of the display panel to be detected and the image acquisition device.
5. The system according to claim 1, wherein:
the set calibration image is a checkerboard image.
6. A display compensation method of a display panel, comprising:
the controller controls the display panel to be detected to display a set calibration image;
the image acquisition device acquires a set calibration image displayed on the display panel to be detected, a first image is obtained, and the first image is sent to the controller;
the controller corrects the distortion of the first image based on a straight line detection algorithm, and a correction model is determined;
the controller controls the display panel to be detected to display a setting detection picture;
the image acquisition device acquires a setting detection picture displayed by the display panel to be detected, obtains a second image, and sends the second image to the controller;
the controller corrects the distortion of the second image based on the correction model to obtain a third image, and display compensation data of the display panel to be detected are determined according to the third image;
the correction model is as follows:
wherein, (x) c ，y c ) Representing the centre of distortion, (x, y) representing the point in the image to be corrected, (x) 1 ，y 1 ) Representing points in the rectified image, r= | (x, y) - (x) c ，y c ) The I is the distance from the point in the image to be corrected to the distortion center, and L (r) is the distortion model.
7. The method of claim 6, wherein the distortion correcting the first image based on a line detection algorithm, determining a correction model, comprises:
extracting an edge image of the first image based on an edge detection algorithm;
determining an initial parameter value of a parameter distortion model based on Hough transformation;
determining an optimal two-parameter distortion model based on an initial parameter value of a parameter distortion model and an iterative algorithm;
the correction model is determined based on the optimal two-parameter distortion model.
8. The method according to claim 7, wherein:
the one parameter distortion model is L1 (r) =1+k 1 r 2 The optimal two-parameter distortion model is L2 (r) =1+k 1 r 2 +k 2 r 4 ；
Alternatively, the one parameter distortion model is L1 (r) =1/(1+k) 1 r 2 ) The optimal two-parameter distortion model is L2 (r) =1/(1+k) 1 r 2 +k 2 r 4 )。
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