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Proceedings Paper

A robustness-enhancing method for real-time surface defection inspection
Author(s): Zhihua Dong; Zhijiang Zhang; He Ma
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Paper Abstract

Surface defection inspection methods based on machine vision have lots of advantages over many other automatic inspection methods, such as higher flexibility, lower overall cost, etc. However, the robustness of these methods is still unsatisfactory. Inspection of magnetic rings which are rich in texture and have various defections is a typical machinevision- based inspection task with high difficulty. Therefore, conclusions of the research on this problem are representative. In this paper, factors which lead to the variation of the inspection results are classified, and then a quantitative analysis for inspection systems introducing a new concept of robustness index is proposed. As an approach for enhancing robustness, the effect of the algorithm rule is focused on. The author extracts defection features on three levels in designing the rule and come to a conclusion that a complete extraction on higher level can enhance the robustness of the system after theory analysis and experiments.

Paper Details

Date Published: 11 January 2007
PDF: 6 pages
Proc. SPIE 6279, 27th International Congress on High-Speed Photography and Photonics, 62790N (11 January 2007); doi: 10.1117/12.725102
Show Author Affiliations
Zhihua Dong, Shanghai Univ. (China)
Zhijiang Zhang, Shanghai Univ. (China)
He Ma, Shanghai Univ. (China)

Published in SPIE Proceedings Vol. 6279:
27th International Congress on High-Speed Photography and Photonics
Xun Hou; Wei Zhao; Baoli Yao, Editor(s)

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