Mobile phone glass cover plate defect detecting method based on principal component analysis
A principal component analysis, glass cover technology, used in image analysis, computer parts, image data processing, etc.
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[0058] Such as figure 1 As shown, the present invention discloses a mobile phone glass cover defect detection method based on principal component analysis. The method mainly includes the following six steps: S1, contrast enhancement of the mobile phone glass cover image, S2, image binarization, S3 , Removing outliers, S4, defect identification based on PCA, S5, edge detection, S6, output of detection results, wherein steps S1, S2, and S3 are preprocessing of the mobile phone glass cover image.
[0059] Step S1, Contrast Enhancement of Mobile Phone Glass Cover Image
[0060] S11. Given a mobile phone glass cover image, first detect the crack defect and the gray value distribution f(i,j) of the edge pixels of the glass cover, and then determine the gray threshold τ according to the gray value distribution.
[0061] S12. Use the log function to enhance image contrast, see formula (1), when the gray value is less than the threshold (ie peak+τ, where τ is a dynamic constant) the p...
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