An adaptive step size DPC algorithm and device for a mobile phone screen defect detection camera
An adaptive step size and defect detection technology, which is applied in the direction of measuring devices, optical test defects/defects, calculations, etc., can solve the problem that the step size is excessively dependent on the magnification ratio of the pixel distribution of the screen, and achieve the effect of eliminating dependence
Active Publication Date: 2019-04-26
BEIJING LUSTER LIGHTTECH
View PDF7 Cites 5 Cited by
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
[0006] The purpose of this application is to provide an adaptive step size DPC algorithm and device for mobile phone screen defect detection cameras to solve the problem that the step size in the existing DPC algorithm is overly dependent on the magnification and the distribution of screen pixels
Method used
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View moreImage
Smart Image Click on the blue labels to locate them in the text.
Smart ImageViewing Examples
Examples
Experimental program
Comparison scheme
Effect test
Embodiment Construction
[0051] refer to figure 1 , the embodiment of the present application provides a camera adaptive step size DPC algorithm for mobile phone screen defect detection, including:
[0052] Step S1, obtaining the coordinates of bad points;
[0053] Before correcting the dead point, the bad point coordinates are first stored in the camera.
[0054] Step S2, traversing the image pixels;
[0055] Step S3, judging whether the coordinates of the current pixel are the coordinates of the bad point;
[0056] Store the bad point coordinates in a bad point table, and compare its coordinates with the bad point coordinates in the bad point table by row count and column count every time a pixel is read. If the coordinates of the current pixel are bad point coordinates, the current pixel is a bad point; if the coordinates of the current pixel are not bad point coordinates, the current pixel is not a bad point.
[0057] If the coordinates of the current pixel are not the coordinates of the bad poi...
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More PUM
Login to View More Abstract
The invention discloses a camera self-adaptive step size DPC algorithm and device for mobile phone screen defect detection. The algorithm comprises the steps that bad point coordinates are acquired; Traversing picture pixels; Judging whether the coordinate of the current pixel is the bad point coordinate or not; If the coordinate of the current pixel is not the bad point coordinate, judging whether the current pixel is a screen area pixel or not; If the current pixel is a screen area pixel, calculating a current step length according to a preset number of screen area pixels; And if the coordinate of the current pixel is the defective pixel coordinate, correcting the current pixel according to the current step length. According to the method, the dependence of the existing DPC on the magnification (corresponding to the step length in the DPC) during camera debugging is eliminated, namely the DPC can be carried out at any magnification; The dependence of the existing DPC on the mobile phone screen type is eliminated, the detected screen can be replaced at will, and the step size does not need to be calibrated and corrected again.
Description
technical field [0001] The present application relates to the technical field of screen defect detection, in particular to a camera adaptive step size DPC algorithm and device for mobile phone screen defect detection. Background technique [0002] During the production process of the mobile phone screen, there may be defects such as dust and scratches, and these problems should be detected when the screen leaves the factory. At present, the commonly used defect detection methods are as follows: first, let the mobile phone display pure color images such as blue, green, red, black, gray, etc., then use an industrial camera to capture images of the mobile phone screen, and finally use a defect detection algorithm based on image processing technology to detect the screen. Defects. This requires ensuring that the camera used for screen defect detection cannot have dead pixels or lines. Dead pixels are caused by the sensor of the camera itself, and the reaction is often shown as...
Claims
the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More Application Information
Patent Timeline
Login to View More Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G01N21/95
CPCG01N21/95G01N2021/9513G06T7/0004G06T2207/10004
Inventor 牛红闯姚毅
Owner BEIJING LUSTER LIGHTTECH