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27 January 2023 PCA-based bend feature selection applied in defect detection of ice cream stick
Xin-yu Zhao, Fuzhong Bai, Xiao-juan Gao, Yong-xiang Xu, Ping Li
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Proceedings Volume 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022); 125500K (2023) https://doi.org/10.1117/12.2666670
Event: International Conference on Optical and Photonic Engineering (icOPEN 2022), 2022, ONLINE, China
Abstract
The ice cream stick is a kind of wood product with a plane surface. For the qualified stick it has the nearly flat surface. However, due to slender and thin shape the bend defect is prone to occur during machining of ice cream stick. At present, manual technique is often used to identify the bend defect in the industrial fields, which holds many problems such as low efficiency, low automation and unreliable detection result. In the paper, the PCA-based bend feature selection method is proposed which is applied in defect detection of ice cream stick. At first, the 3D data of object surface is obtained based on the three-dimensional (3D) measurement principle of line structured light. Then four kinds of bend features are designed according to the shape characteristics of the light stripe, which include variation coefficient, correlation coefficient, determination coefficient and straightness metric. At last, the bend feature selection is operated based on the PCA-based method. The research results provide valuable reference for the engineering application in the intelligent defect detection.
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Xin-yu Zhao, Fuzhong Bai, Xiao-juan Gao, Yong-xiang Xu, and Ping Li "PCA-based bend feature selection applied in defect detection of ice cream stick", Proc. SPIE 12550, International Conference on Optical and Photonic Engineering (icOPEN 2022), 125500K (27 January 2023); https://doi.org/10.1117/12.2666670
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KEYWORDS
Feature extraction
Feature selection
Defect detection
Structured light
Correlation coefficients
Principal component analysis
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