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| Study on Defects Detection Method of Mobile Phone Curved Glass |
| CHEN Ning1,3,GUO Gang-xiang1,3,GUO Bin1,3,ZHANG Yue1,2,WANG Chao1,3,KONG Ming2,CHEN Ting1,3,WANG Ying-hui1,3,ZHAO Jian-ming1,3,WU Jian1,3 |
1. Zhejiang Institute of Metrology, Hangzhou, Zhejiang 310018, China
2. College of Metrological Technology and Engineering, China Jiliang University, Hangzhou, Zhejiang 310018, China
3. Key Laboratory of Digital Precision Measurement Technology of Zhejiang Province, Hangzhou, Zhejiang 310018, China |
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Abstract Due to some appearance defects in the production process of curved glass of mobile phone, a defect detection method of curved glass of mobile phone was proposed to solve the problems of difficult imaging and extraction of defects on curved glass. Firstly, shape matching was carried out on the curved glass plane images, and the matched images were processed by difference and morphology to extract the defect features. Secondly, a defect extraction algorithm based on connected domain analysis and area threshold segmentation was used for curved glass images. Thirdly, the image frequency domain enhancement and logarithmic transformation defect extraction algorithm were used for the R-angle image of curved glass. Finally, after extracting the defects of each part, the characteristics of all kinds of defects were calculated, and the defects were classified according to the characteristics, and the obtained defect data was compared with the data obtained by the image measurement instrument. The results showed that the algorithm can accurately extract the common scratches, stains, abrasions and bubbles on the curved glass surface of mobile phones, and the size accuracy of the defects can reach 20μm.
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Received: 21 November 2022
Published: 18 May 2023
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2023, Vol. 44 
