Automatic defect detection method for mobile phone curved glass based on machine vision

Ning Chen; Gangxiang Guo; Bin Guo; Yue Zhang; Chao Wang; Yuexin Qiu; Yinghui Wang; Pengbing Hu; Jianming Zhao; Ting Chen

doi:10.1117/12.2689300

31 July 2023 Automatic defect detection method for mobile phone curved glass based on machine vision

Ning Chen, Gangxiang Guo, Bin Guo, Yue Zhang, Chao Wang, Yuexin Qiu, Yinghui Wang, Pengbing Hu, Jianming Zhao, Ting Chen

Author Affiliations +

Proceedings Volume 12747, Third International Conference on Optics and Image Processing (ICOIP 2023); 127470V (2023) https://doi.org/10.1117/12.2689300
Event: Third International Conference on Optics and Image Processing (ICOIP 2023), 2023, Hangzhou, China

Abstract

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.

Citation Download Citation

Ning Chen, Gangxiang Guo, Bin Guo, Yue Zhang, Chao Wang, Yuexin Qiu, Yinghui Wang, Pengbing Hu, Jianming Zhao, and Ting Chen "Automatic defect detection method for mobile phone curved glass based on machine vision", Proc. SPIE 12747, Third International Conference on Optics and Image Processing (ICOIP 2023), 127470V (31 July 2023); https://doi.org/10.1117/12.2689300

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