Research on surface defect detection of aerospace electronic components based on machine vision

Weiwei Zhang; Zhonghai Pei; Kairong Liu; Jinglin Lu

doi:10.1117/12.3017535

15 December 2023 Research on surface defect detection of aerospace electronic components based on machine vision

Weiwei Zhang, Zhonghai Pei, Kairong Liu, Jinglin Lu

Proceedings Volume 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023); 129710H (2023) https://doi.org/10.1117/12.3017535
Event: Third International Conference on Optics and Communication Technology (ICOCT 2023), 2023, Changchun, China

Abstract

Aiming at the problems of low detection efficiency and high labor cost for manual aerospace electronic components surface, this paper proposes a surface defect detection method based on machine vision. Firstly, based on the design of the components surface defect detection device, the characteristics of the surface image are analyzed. Then, the image is preprocessed by bilateral filtering algorithm and morphological operation, and the edge is removed while the noise is removed. Finally, the fast adaptive threshold is adopted. Segmentation to achieve defect detection on the components surface. The experimental results show that the detection method has a good detection effect on the surface of the components. The detection rate and false detection rate are 3.2% and3.8%, respectively, which provides a feasible solution for the detection of defects on the surface of aerospace electronic products. Has a certain practical value.

Citation Download Citation

Weiwei Zhang, Zhonghai Pei, Kairong Liu, and Jinglin Lu "Research on surface defect detection of aerospace electronic components based on machine vision", Proc. SPIE 12971, Third International Conference on Optics and Communication Technology (ICOCT 2023), 129710H (15 December 2023); https://doi.org/10.1117/12.3017535

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KEYWORDS

Defect detection

Image segmentation

Aerospace engineering

Image filtering

Tunable filters

Electronic components

Image acquisition

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