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Mobile phone screen defect detection method based on regular texture background reconstruction

A mobile phone screen, defect detection technology, applied in image data processing, instruments, computing and other directions, can solve the problems of false detection or missed detection, inaccurate positioning, regular background texture interference, etc., to achieve the effect of high detection accuracy

Active Publication Date: 2017-09-22
NANJING UNIV +2
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Problems solved by technology

[0004] The problem to be solved by the present invention is: the existing method of mobile phone screen defect detection through machine vision is easily disturbed by regular background textures, often resulting in false detection or missed detection, and inaccurate positioning

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  • Mobile phone screen defect detection method based on regular texture background reconstruction
  • Mobile phone screen defect detection method based on regular texture background reconstruction
  • Mobile phone screen defect detection method based on regular texture background reconstruction

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specific Embodiment approach

[0040] The method of the invention mainly includes three steps of obtaining template by discrete Fourier transform, template filtering and inverse discrete Fourier transform and detecting defects. The specific implementation is as follows:

[0041] 1. Discrete Fourier transform acquisition template stage: Discrete Fourier transform is performed on the mobile phone screen image A to be detected to obtain the spectrum of image A, including real and imaginary parts, and further the amplitude spectrum of the spectrum can be calculated. Get the gray value t of the first h percentile pixels of the amplitude spectrum by quick sorting, set the value of the pixel whose gray value is greater than t in the amplitude spectrum to 255, set the value of the pixel smaller than t to 0, and set h to Experience value, such as 10-20. The filter template is obtained by Hough straight line fitting on the binarized magnitude spectrum.

[0042] The method of discrete Fourier transform to obtain the...

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Abstract

The invention relates to a mobile phone screen defect detection method based on regular texture background reconstruction. The method comprises the following steps of firstly, carrying out Fourier transform on an image and calculating an amplitude spectrum of an image frequency spectrum; carrying out Hoff straight line fitting on a binary amplitude spectrum so as to acquire a filtering template; using the template to carry out filtering on a real portion and an imaginary portion of the image; then carrying out Fourier inverse transformation and normalization so as to acquire a background reconstruction graph without defects; and finally using an original graph to subtract the background reconstruction graph, and carrying out adaptive binarization so as to acquire a binary image which only contains the defects. By using the method, a screen defect under a regular texture background can be effectively positioned.

Description

technical field [0001] The invention relates to the technical field of machine vision and video image processing, in particular to a mobile phone screen defect detection method based on regular texture background reconstruction. Background technique [0002] Using artificial vision to complete the detection of mobile phone screen defects, there are many problems such as heavy workload, high missed detection rate, high false detection rate, and being affected by subjective feelings. The automatic detection of mobile phone screen defects based on machine vision can effectively solve this problem. question. In order to highlight the characteristics of defects, removing the regular background texture of the mobile phone screen is the key to defect detection. [0003] In the prior art, methods such as linear regression and gradient histogram are used to detect defects by looking for the features of defective parts and normal parts on the mobile phone screen. Set a threshold, an...

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T7/0002G06T2207/30108G06T2207/10004
Inventor 朱泽民董蓉史德飞史春阳查俊李勃陈和国梁振华黄璜周子卿
Owner NANJING UNIV
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