Dig and dust discrimination method for specular surfaces based on multi-view fusion

Jie Wang; Yongxiang Hu; Huimin Yue; Yong Liu

doi:10.1117/12.2638489

15 November 2022 Dig and dust discrimination method for specular surfaces based on multi-view fusion

Jie Wang, Yongxiang Hu, Huimin Yue, Yong Liu

Proceedings Volume 12448, 5th Optics Young Scientist Summit (OYSS 2022); 124481L (2022) https://doi.org/10.1117/12.2638489
Event: 5th Optics Young Scientist Summit (OYSS 2022), 2022, Fuzhou, China

Abstract

Automatic detection for specular surfaces is always the crucial problem in the manufacturing process. Dust particles and digs are too similar in shape to discriminate from each other by existing detection method. In this paper, a dig and dust discrimination method for specular surfaces based on multi-view fusion is systematically proposed. Structured light modulation analysis technique is adopted to obtain the distribution of defects and dusts. Then, a white light source and two polarizers whose transmission axis are perpendicular to each other are utilized to obtain dusts purely. Finally, dusts are removed from the modulation image with only defects left. The same process is repeated for several times at different observation angles θ_s. Take the intersection of all the detection results to guarantee as much dusts is removed as possible. Simulation and experimental results verify the effectiveness and accuracy of proposed method.

Citation Download Citation

Jie Wang, Yongxiang Hu, Huimin Yue, and Yong Liu "Dig and dust discrimination method for specular surfaces based on multi-view fusion", Proc. SPIE 12448, 5th Optics Young Scientist Summit (OYSS 2022), 124481L (15 November 2022); https://doi.org/10.1117/12.2638489

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KEYWORDS

Light scattering

Modulation

Polarization

Particles

Polarizers

Cameras

Defect detection

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