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Proceedings Paper

Stamping surface defect detection of aluminum sheet based on modified PHOG
Author(s): Cuifang Zhao; Jiacheng Ma; Yu Chen; Mengfan Che; Tian Zhao
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Paper Abstract

Aiming at the low accuracy and low efficiency of manual defect detection of stamping aluminum sheet, a surface defect detection based on modified PHOG algorithm is proposed in this paper. PHOG is a spatial shape descriptor that introduces spatial pyramid model to achieve multi-scale representation of the target. However, in the field of target recognition with similar shapes and different details, the PHOG lacks a description of the relationship between pixels in the image. In order to improve the detail description ability of PHOG algorithm, the sliding window mechanism is introduced to improve PHOG. Based on the improved PHOG, combined with the advantages of SVM, the defect detection algorithm flow is given. The experimental results show that, the proposed defect detection algorithm has good accuracy and real-time performance.

Paper Details

Date Published: 31 January 2020
PDF: 7 pages
Proc. SPIE 11427, Second Target Recognition and Artificial Intelligence Summit Forum, 114271A (31 January 2020);
Show Author Affiliations
Cuifang Zhao, Zhejiang Normal Univ. (China)
Jiacheng Ma, Zhejiang Normal Univ. (China)
Yu Chen, Zhejiang Normal Univ. (China)
Mengfan Che, Zhejiang Normal Univ. (China)
Tian Zhao, Zhejiang Normal Univ. (China)


Published in SPIE Proceedings Vol. 11427:
Second Target Recognition and Artificial Intelligence Summit Forum
Tianran Wang; Tianyou Chai; Huitao Fan; Qifeng Yu, Editor(s)

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