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Proceedings Paper

Research on automatic detection method of nonuniform reflective metal sphere's surface flaws
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Paper Abstract

Under high magnification of the micro-vision systems, the original metal texture appears in the form of bright spots with different shapes and different sizes and mixes with the real flaws such as maculae, pockmarks, and corrosions. The background of the image is complex while the image brightness is non-uniform due to the spherical reflection. It is difficult to extract the flaws accurately by means of traditional segmentation methods. In this paper, a new method for detecting flaws automatically is presented, in which the flaws are located approximately at first by removing the uniform background and the bright spots of metal surface texture, then detected accurately using the method of double-window. The experimental results show that this method is effective to detect various flaws on the surface of metal sphere.

Paper Details

Date Published: 24 October 2006
PDF: 5 pages
Proc. SPIE 6357, Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence, 63570P (24 October 2006); doi: 10.1117/12.716749
Show Author Affiliations
Jianwei Lu, Beijing Univ. of Aeronautics and Astronautics (China)
Huijie Zhao, Beijing Univ. of Aeronautics and Astronautics (China)
Yufu Qu, Beijing Univ. of Aeronautics and Astronautics (China)


Published in SPIE Proceedings Vol. 6357:
Sixth International Symposium on Instrumentation and Control Technology: Signal Analysis, Measurement Theory, Photo-Electronic Technology, and Artificial Intelligence
Jiancheng Fang; Zhongyu Wang, Editor(s)

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