An automatic defect detection method for the mobile phone curved glass based on machine vision is proposed and implemented to estimate the plane images, edge images, and R-angle images of the mobile phone curved glass. Moreover, different defect size can be obtained. The experimental results show the consistency with the image measurement instrument, and the common scratches, stains, scratches and bubbles on the curved glass surface of mobile phone can be accurately extracted by the proposed algorithm, with a dimensional accuracy within 20μm.
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