CN116128740B - Intelligent image processing method and system for liquid crystal display screen - Google Patents
Intelligent image processing method and system for liquid crystal display screen Download PDFInfo
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Abstract
An intelligent image processing method and system for a liquid crystal display screen, comprising the steps of: acquiring LCD image video frame information of a liquid crystal display screen in real time through a CCD camera; preprocessing and graying the obtained continuous video frame information; respectively differencing adjacent frames from the nth frame to the n+5 th frame after graying; pixel points at positions with values of 0 after continuous difference of n+5 frames are operated one by adopting an improved LOG operator, and a comparison value is solvedIf the comparison value isAnd if the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is not the abnormal display device pixel point. The invention improves the accuracy and the speed of defect identification by calculating the comparison value and the coefficient values of a and b, thereby improving the user experience.
Description
Technical Field
The invention relates to the technical field of computer vision, in particular to an intelligent image processing method and system for a liquid crystal display screen.
Background
In recent years, as industrial vision technology is increasingly applied to new display device industries such as light emitting diodes (leds), liquid crystal displays (Liquid CRYSTAL DISPLAY, LCD), and the like, traditional quality detection, verification, and other works completed by manual methods are gradually replaced by new ways of automatic optical detection (Automatic Optic Inspection, AOI), and this new technology also brings new challenges to the traditional manufacturing industry. In order to better adapt to the production trend of the modern manufacturing industry, the competitiveness of the product is improved, and the automatic detection and analysis of the quality problem in the production process of the product are particularly important.
In the prior art, although a method for automatically detecting an LCD defect device by image recognition exists, the effect of the method on the aspects of calculation precision and speed is not obvious; the process of achieving accurate adaptation of the image is critical to the recognition operation. In the prior art, related technologies for improving LOG operators are rarely adopted, so that defect identification can be more intelligent and humanized, the operation efficiency of the defect identification is improved, and the comfort level of a user is enhanced to be a new research topic, but the accuracy and the efficiency of the existing defect identification are lower; and image processing is not ideal, and coefficient values in the pixel calculation process are not set according to factors such as screen size, so that an intelligent image processing technology capable of being used for a liquid crystal display screen becomes an urgent need for improving the defect identification effect of an LCD, and user experience is improved.
Disclosure of Invention
In order to solve the technical problems, the invention provides an intelligent image processing method and system for a liquid crystal display, which remarkably improves the efficiency of detecting LCD screen defects, greatly enhances the accuracy and enhances the user experience; the invention is realized by the following modes:
An intelligent image processing method for a liquid crystal display screen, comprising the steps of S1: acquiring LCD image video frame information of a liquid crystal display screen in real time through a CCD camera; step S2: preprocessing and graying the obtained continuous video frame information; step S3: respectively differencing adjacent frames from the nth frame to the n+5 th frame after graying; step S4: pixel points at positions with values of 0 after continuous difference of n+5 frames are operated one by adopting an improved LOG operator, and a comparison value is solved Step S5: if the comparison value/>If the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the pixel point at the position is an abnormal display device pixel point; the control values are solved as follows: /(I) Wherein a > b, a, b respectively represent the coefficient values of the distance position (i, j) pixel as one pixel distance and two pixel distances,/>Representing the contrast value of the pixel (i, j) after the modified LOG operator operation, f (i, j) representing the gray value of the pixel (i, j), f (i-1, j) representing the gray value of the pixel (i-1, j), f (i+1, j) representing the gray value of the pixel (i+1, j), f (i, j-1) representing the gray value of the pixel (i, j-1), f (i, j+1) representing the gray value of the pixel (i, j+1), f (i-1, j-1) representing the gray value of the pixel (i-1, j-1), f (i+1, j-1) represents a gray value at the position (i+1, j-1), f (i+1, j+1) represents a gray value at the position (i+1, j+1), f (i-1, j+1) represents a gray value at the position (i-1, j+1), f (i-2, j) represents a gray value at the position (i-2, j), f (i+2, j) represents a gray value at the position (i+2, j), f (i, j+2) represents a gray value at the position (i, j+2), f (i-2, j-2) represents a gray value at the position (i-2, j-2), f (i+2, j-2) represents a gray value at the position (i+2, j-2), f (i+2, j+2) represents the gray value at the position (i+2, j+2), and f (i-2, j+2) represents the gray value at the position (i-2, j+2).
Preferably, the preprocessing of the acquired continuous video frame information further comprises median filtering and denoising of continuous video frame images.
Preferably, the a, b represent the coefficient values for one pixel distance and two pixel distances, respectively, from the pixel at the position (i, j),Where X represents the LCD length pixel count, Y represents the LCD width pixel count, and Z represents the LCD screen diagonal length.
Preferably, the pixel points at the positions where the values are 0 after the n+5 frames are continuously differenced further comprise, before the improved LOG operator is adopted one by one for operation, judging whether the pixel points at the positions where the gray values are 0 are adjacent or not, and if the number of the pixel points where the values are 0 is greater than N, stopping the display of the LCD.
Preferably, the said reference valueIf the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the step of adjusting the color and the brightness of pixels around the abnormal display device pixel point to reduce the contrast ratio is further included after the step of taking the pixel point at the position as the abnormal display device pixel point.
The invention also comprises an intelligent image processing system for the liquid crystal display screen, which comprises an LCD video frame image acquisition module: acquiring LCD image video frame information of a liquid crystal display screen in real time through a CCD camera; pretreatment graying module: preprocessing and graying the obtained continuous video frame information; and a difference value calculation module: respectively differencing adjacent frames from the nth frame to the n+5 th frame after graying; a control value calculation module: pixel points at positions with values of 0 after continuous difference of n+5 frames are operated one by adopting an improved LOG operator, and a comparison value is solvedAbnormal point judging module: if the comparison value/>If the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the pixel point at the position is an abnormal display device pixel point; the control values are solved as follows: /(I) Wherein a > b, a, b respectively represent the coefficient values of the distance position (i, j) pixel as one pixel distance and two pixel distances,/>Representing the contrast value of the pixel (i, j) after the modified LOG operator operation, f (i, j) representing the gray value of the pixel (i, j), f (i-1, j) representing the gray value of the pixel (i-1, j), f (i+1, j) representing the gray value of the pixel (i+1, j), f (i, j-1) representing the gray value of the pixel (i, j-1), f (i, j+1) representing the gray value of the pixel (i, j+1), f (i-1, j-1) representing the gray value of the pixel (i-1, j-1), f (i+1, j-1) represents a gray value at the position (i+1, j-1), f (i+1, j+1) represents a gray value at the position (i+1, j+1), f (i-1, j+1) represents a gray value at the position (i-1, j+1), f (i-2, j) represents a gray value at the position (i-2, j), f (i+2, j) represents a gray value at the position (i+2, j), f (i, j+2) represents a gray value at the position (i, j+2), f (i-2, j-2) represents a gray value at the position (i-2, j-2), f (i+2, j-2) represents a gray value at the position (i+2, j-2), f (i+2, j+2) represents the gray value at the position (i+2, j+2), and f (i-2, j+2) represents the gray value at the position (i-2, j+2).
Preferably, the preprocessing of the acquired continuous video frame information further comprises median filtering and denoising of continuous video frame images.
Preferably, the a, b represent the coefficient values for one pixel distance and two pixel distances, respectively, from the pixel at the position (i, j),Where X represents the LCD length pixel count, Y represents the LCD width pixel count, and Z represents the LCD screen diagonal length.
Preferably, the pixel points at the positions where the values are 0 after the n+5 frames are continuously differenced further comprise, before the improved LOG operator is adopted one by one for operation, judging whether the pixel points at the positions where the gray values are 0 are adjacent or not, and if the number of the pixel points where the values are 0 is greater than N, stopping the display of the LCD.
Preferably, the said reference valueIf the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the step of adjusting the color and the brightness of pixels around the abnormal display device pixel point to reduce the contrast ratio is further included after the step of taking the pixel point at the position as the abnormal display device pixel point.
Compared with the prior art, the technical scheme of the invention has the following beneficial effects:
The invention solves the problems that the acquisition of defect detection is not ideal and the coefficient value is not set in the pixel calculation process due to factors such as screen size and the like in the traditional technology; and the weight coefficient of the traditional LOG operator cannot be adjusted according to a screen and the like, the improved LOG operator is adopted to carry out operation, and a comparison value is solved The adjacent pixel calculation coefficient is set as a, and the next adjacent coefficient is set as b, so that the defect detection processing efficiency and accuracy are greatly improved; the pixel of a and b representing the distance position (i, j) is the coefficient value of one pixel distance and two pixel distances,The method has the advantages that through setting of coefficient values, the weight of the influence of different distances of pixels around the pixel point to be processed on the pixel point is different, and the setting of a and b is combined with factors such as screen size, pixels and the like, so that the problem that only single calculation is focused in the traditional log operator technology is solved; therefore, the intelligent image processing method and system for the liquid crystal display screen greatly improve the defect detection efficiency and accuracy, thereby improving the user experience.
Drawings
Fig. 1 is a diagram of an intelligent image processing system for a liquid crystal display according to the present invention.
Detailed Description
As understood by those skilled in the art, conventional LCD defect detection is less accurate and efficient as described in the background; and the coefficient is not set according to the screen size in the recognition process, a technology capable of increasing the defect recognition efficiency and accuracy is an urgent need for improving the LCD effect, thereby improving the user experience. In order to make the above objects, features and advantages of the present invention more comprehensible, embodiments accompanied with figures are described in detail below.
Example 1:
An intelligent image processing method for a liquid crystal display screen, comprising the steps of S1: acquiring LCD image video frame information of a liquid crystal display screen in real time through a CCD camera; step S2: preprocessing and graying the obtained continuous video frame information; step S3: respectively differencing adjacent frames from the nth frame to the n+5 th frame after graying; step S4: pixel points at positions with values of 0 after continuous difference of n+5 frames are operated one by adopting an improved LOG operator, and a comparison value is solved Step S5: if the comparison value/>If the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the pixel point at the position is an abnormal display device pixel point; the control values are solved as follows: /(I) Wherein a > b, a, b respectively represent the coefficient values of the distance position (i, j) pixel as one pixel distance and two pixel distances,/>Representing the contrast value of the pixel (i, j) after the modified LOG operator operation, f (i, j) representing the gray value of the pixel (i, j), f (i-1, j) representing the gray value of the pixel (i-1, j), f (i+1, j) representing the gray value of the pixel (i+1, j), f (i, j-1) representing the gray value of the pixel (i, j-1), f (i, j+1) representing the gray value of the pixel (i, j+1), f (i-1, j-1) representing the gray value of the pixel (i-1, j-1), f (i+1, j-1) represents a gray value at the position (i+1, j-1), f (i+1, j+1) represents a gray value at the position (i+1, j+1), f (i-1, j+1) represents a gray value at the position (i-1, j+1), f (i-2, j) represents a gray value at the position (i-2, j), f (i+2, j) represents a gray value at the position (i+2, j), f (i, j+2) represents a gray value f (i-2, j-2) at the position (i, j+2) represents a gray value at the position (i-2, j-2), f (i+2, j+2) represents the gray value at the position (i+2, j+2), and f (i-2, j+2) represents the gray value at the position (i-2, j+2).
In some embodiments, the preprocessing of the acquired continuous video frame information further comprises median filtering denoising the continuous video frame images.
In some embodiments, the a, b represent coefficient values for one pixel distance and two pixel distances, respectively, from a location (i, j) pixel,B=0.8×a, where X represents the LCD length pixel number, Y represents the LCD width pixel number, and Z represents the LCD screen diagonal length.
In some embodiments, the pixel points at the positions where the values are 0 after the n+5 frames are continuously differenced further includes, before the improved LOG operator is adopted to perform the operation one by one, judging whether the pixel points at the positions where the gray values are 0 are adjacent, if the number of the pixel points where the values are 0 is greater than N, stopping the LCD from displaying.
In some embodiments, the plurality of control valuesIf the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the step of adjusting the color and the brightness of pixels around the abnormal display device pixel point to reduce the contrast ratio is further included after the step of taking the pixel point at the position as the abnormal display device pixel point.
Example 2:
The invention also comprises an intelligent image processing system for the liquid crystal display screen, which comprises an LCD video frame image acquisition module: acquiring LCD image video frame information of a liquid crystal display screen in real time through a CCD camera; pretreatment graying module: preprocessing and graying the obtained continuous video frame information; and a difference value calculation module: respectively differencing adjacent frames from the nth frame to the n+5 th frame after graying; a control value calculation module: pixel points at positions with values of 0 after continuous difference of n+5 frames are operated one by adopting an improved LOG operator, and a comparison value is solved Abnormal point judging module: if the comparison value/>If the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the pixel point at the position is an abnormal display device pixel point; the control values are solved as follows: /(I) Wherein a > b, a, b respectively represent the coefficient values of the distance position (i, j) pixel as one pixel distance and two pixel distances,/>Representing the contrast value of the pixel (i, j) after the modified LOG operator operation, f (i, j) representing the gray value of the pixel (i, j), f (i-1, j) representing the gray value of the pixel (i-1, j), f (i+1, j) representing the gray value of the pixel (i+1, j), f (i, j-1) representing the gray value of the pixel (i, j-1), f (i, j+1) representing the gray value of the pixel (i, j+1), f (i-1, j-1) representing the gray value of the pixel (i-1, j-1), f (i+1, j-1) represents a gray value at the position (i+1, j-1), f (i+1, j+1) represents a gray value at the position (i+1, j+1), f (i-1, j+1) represents a gray value at the position (i-1, j+1), f (i-2, j) represents a gray value at the position (i-2, j), f (i+2, j) represents a gray value at the position (i+2, j), f (i, j+2) represents a gray value at the position (i, j+2), f (i-2, j-2) represents a gray value at the position (i-2, j-2), f (i+2, j-2) represents a gray value at the position (i+2, j-2), f (i+2, j+2) represents the gray value at the position (i+2, j+2), and f (i-2, j+2) represents the gray value at the position (i-2, j+2).
Preferably, the preprocessing of the acquired continuous video frame information further comprises median filtering and denoising of continuous video frame images.
Preferably, the a, b represent the coefficient values for one pixel distance and two pixel distances, respectively, from the pixel at the position (i, j),B=0.8×a, where X represents the LCD length pixel number, Y represents the LCD width pixel number, and Z represents the LCD screen diagonal length.
Preferably, the pixel points at the positions where the values are 0 after the n+5 frames are continuously differenced further comprise, before the improved LOG operator is adopted one by one for operation, judging whether the pixel points at the positions where the gray values are 0 are adjacent or not, and if the number of the pixel points where the values are 0 is greater than N, stopping the display of the LCD.
Preferably, the said reference valueIf the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the step of adjusting the color and the brightness of pixels around the abnormal display device pixel point to reduce the contrast ratio is further included after the step of taking the pixel point at the position as the abnormal display device pixel point.
The invention solves the problems of the traditional technology that the acquisition of defect detection is not ideal and the factors such as screen size and the like are not set in the pixel calculation process; and the weight coefficient of the traditional LOG operator cannot be adjusted according to a screen and the like, the improved LOG operator is adopted to carry out operation, and a comparison value is solvedThe defect detection processing efficiency and accuracy are greatly improved; the pixel of the distance position (i, j) is expressed by a and b as the coefficient value of one pixel distance and two pixel distances respectively,/> B=0.8a, namely, through setting coefficient values, the weights of the influence on the pixels around the pixel to be processed are different due to different distances, so that the problem that only single calculation is focused in the traditional technology is solved; therefore, the intelligent image processing method and system for the liquid crystal display screen greatly improve the defect detection efficiency and accuracy, thereby improving the user experience.
It will be apparent to those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product, and that the present application thus may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects.
Although the present invention is disclosed above, the present invention is not limited thereto. Various changes and modifications may be made by one skilled in the art without departing from the spirit and scope of the invention, and the scope of the invention should be assessed accordingly to that of the appended claims.
Claims (10)
1. An intelligent image processing method for a liquid crystal display screen is characterized by comprising the following steps of S1: acquiring LCD image video frame information of a liquid crystal display screen in real time through a CCD camera; step S2: preprocessing and graying the obtained continuous video frame information; step S3: respectively differencing adjacent frames from the nth frame to the n+5 th frame after graying; step S4: pixel points at positions with values of 0 after continuous difference of n+5 frames are operated one by adopting an improved LOG operator, and a comparison value is solvedStep S5: if the comparison value/>If the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the pixel point at the position is an abnormal display device pixel point; the control values are solved as follows: wherein a > b, a, b respectively represent the coefficient values of the distance position (i, j) pixel as one pixel distance and two pixel distances,/> Representing the contrast value of the pixel (i, j) after the modified LOG operator operation, f (i, j) representing the gray value of the pixel (i, j), f (i-1, j) representing the gray value of the pixel (i-1, j), f (i+1, j) representing the gray value of the pixel (i+1, j), f (i, j-1) representing the gray value of the pixel (i, j-1), f (i, j+1) representing the gray value of the pixel (i, j+1), f (i-1, j-1) representing the gray value of the pixel (i-1, j-1), f (i+1, j-1) represents a gray value at the position (i+1, j-1), f (i+1, j+1) represents a gray value at the position (i+1, j+1), f (i-1, j+1) represents a gray value at the position (i-1, j+1), f (i-2, j) represents a gray value at the position (i-2, j), f (i+2, j) represents a gray value at the position (i+2, j), f (i, j+2) represents a gray value at the position (i, j+2), f (i-2, j-2) represents a gray value at the position (i-2, j-2), f (i+2, j-2) represents a gray value at the position (i+2, j-2), f (i+2, j+2) represents the gray value at the position (i+2, j+2), and f (i-2, j+2) represents the gray value at the position (i-2, j+2).
2. The intelligent image processing method for a liquid crystal display according to claim 1, wherein the preprocessing of the acquired continuous video frame information further comprises median filtering and denoising the continuous video frame images.
3. An intelligent image processing method for a liquid crystal display according to claim 2, wherein a and b represent the coefficient values of one pixel distance and two pixel distances for the pixel of the distance position (i, j), respectively,B=0.8×a, where X represents the LCD length pixel number, Y represents the LCD width pixel number, and Z represents the LCD screen diagonal length.
4. The intelligent image processing method for a liquid crystal display according to claim 1, wherein the pixel points at the positions where the values are 0 after the n+5 frames are continuously differenced are further included before the improved LOG operator is adopted one by one for operation, whether the pixel points at the positions where the gray values are 0 are adjacent or not is judged, and if the number of the pixel points where the values are 0 is greater than N, the LCD stops displaying.
5. The intelligent image processing method for liquid crystal display according to claim 1, wherein the comparison value isIf the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the step of adjusting the color and the brightness of pixels around the abnormal display device pixel point to reduce the contrast ratio is further included after the step of taking the pixel point at the position as the abnormal display device pixel point.
6. An intelligent image processing system for a liquid crystal display screen, comprising an LCD video frame image acquisition module: acquiring LCD image video frame information of a liquid crystal display screen in real time through a CCD camera; pretreatment graying module: preprocessing and graying the obtained continuous video frame information; and a difference value calculation module: respectively differencing adjacent frames from the nth frame to the n+5 th frame after graying; a control value calculation module: pixel points at positions with values of 0 after continuous difference of n+5 frames are operated one by adopting an improved LOG operator, and a comparison value is solvedAbnormal point judging module: if the comparison value/>If the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the pixel point at the position is an abnormal display device pixel point; the control values are solved as follows: wherein a > b, a, b respectively represent the coefficient values of the distance position (i, j) pixel as one pixel distance and two pixel distances,/> Representing the contrast value of the pixel (i, j) after the modified LOG operator operation, f (i, j) representing the gray value of the pixel (i, j), f (i-1, j) representing the gray value of the pixel (i-1, j), f (i+1, j) representing the gray value of the pixel (i+1, j), f (i, j-1) representing the gray value of the pixel (i, j-1), f (i, j+1) representing the gray value of the pixel (i, j+1), f (i-1, j-1) representing the gray value of the pixel (i-1, j-1), f (i+1, j-1) represents a gray value at the position (i+1, j-1), f (i+1, j+1) represents a gray value at the position (i+1, j+1), f (i-1, j+1) represents a gray value at the position (i-1, j+1), f (i-2, j) represents a gray value at the position (i-2, j), f (i+2, j) represents a gray value at the position (i+2, j), f (i, j+2) represents a gray value at the position (i, j+2), f (i-2, j-2) represents a gray value at the position (i-2, j-2), f (i+2, j-2) represents a gray value at the position (i+2, j-2), f (i+2, j+2) represents the gray value at the position (i+2, j+2), and f (i-2, j+2) represents the gray value at the position (i-2, j+2).
7. The intelligent image processing system for a liquid crystal display of claim 6, wherein the preprocessing of the acquired continuous video frame information further comprises median filtering denoising the continuous video frame images.
8. The intelligent image processing system according to claim 7, wherein a and b represent the coefficient values of one pixel distance and two pixel distances for the pixel of the distance position (i, j), respectively,B=0.8×a, where X represents the LCD length pixel number, Y represents the LCD width pixel number, and Z represents the LCD screen diagonal length.
9. The intelligent image processing system for a liquid crystal display according to claim 6, wherein the pixels having values of 0 after the n+5 frames are continuously differenced each comprise, before the modified LOG operator is adopted to perform the operation, determining whether the pixels having gray values of 0 are adjacent, and if the number of pixels having values of 0 is greater than N, stopping the LCD from displaying.
10. The intelligent image processing system for a liquid crystal display according to claim 6, wherein the if contrast value isIf the pixel point is smaller than the set threshold value T, the pixel point is a normal display device pixel point, and if the pixel point is larger than the set threshold value T, the step of adjusting the color and the brightness of pixels around the abnormal display device pixel point to reduce the contrast ratio is further included after the step of taking the pixel point at the position as the abnormal display device pixel point.
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