Surface defect inspection and classification for glass screen of mobile phone

Changshu Wang; Changsheng Li; Yanjiang Huang; Xianmin Zhang

doi:10.1117/12.2524191

6 May 2019 Surface defect inspection and classification for glass screen of mobile phone

Changshu Wang, Changsheng Li, Yanjiang Huang, Xianmin Zhang

Proceedings Volume 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018); 110691U (2019) https://doi.org/10.1117/12.2524191
Event: Tenth International Conference on Graphic and Image Processing (ICGIP 2018), 2018, Chengdu, China

Abstract

Complex manufacturing makes the screens one or more defects simultaneously. Effective detection of defects is crucial in the manufacturing processes of mobile phone glass screens. In this paper, we concentrate on extracting and classifying some typical defects, such as scratch, bruise, pit and blister. Firstly, we use morphological filter to smooth background noise, and an improved gamma grayscale transformation is proposed to enhance the contrast. Then, a double threshold segmentation algorithm, based on area threshold and gray threshold, is presented to extract defects from background. Finally, according to different optimal segmentation feature values of different defects, a binary tree classifier is constructed to classify defects. The experiment results show that the proposed method can extract and recognize typical defects precisely.

Citation Download Citation

Changshu Wang, Changsheng Li, Yanjiang Huang, and Xianmin Zhang "Surface defect inspection and classification for glass screen of mobile phone", Proc. SPIE 11069, Tenth International Conference on Graphics and Image Processing (ICGIP 2018), 110691U (6 May 2019); https://doi.org/10.1117/12.2524191

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KEYWORDS

Cell phones

Image segmentation

Glasses

Image filtering

Defect detection

Feature extraction

Image classification

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