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Proceedings Paper

A novel method for ox-eye interference image processing based on maximum fuzzy entropy
Author(s): Xiuhua Zhang; Kuntao Yang; Yunlong Wang
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Paper Abstract

"Ox-eye" interference image analysis is an important means to acquire related optical information such as wavelength and the incidence angle of laser from far away. For the unavoidable noise, it is very difficult to extract object pattern from the noise background, so the contrast enhancement and thresholding is a crucial step for such image processing. In this paper, a novel method is proposed for "ox-eye" interference image processing based on maximum fuzzy entropy. In the new method, the maximum fuzzy entropy is used to conduct contrast enhancement and optimum threshold selecting. By comparing with the traditional methods, the presented method can process images more quickly and can extract the parameters more accurately.

Paper Details

Date Published: 19 May 2006
PDF: 6 pages
Proc. SPIE 6150, 2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment, 61502L (19 May 2006); doi: 10.1117/12.676904
Show Author Affiliations
Xiuhua Zhang, Huazhong Univ. of Science and Technology (China)
Kuntao Yang, Huazhong Univ. of Science and Technology (China)
Yunlong Wang, Huazhong Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 6150:
2nd International Symposium on Advanced Optical Manufacturing and Testing Technologies: Optical Test and Measurement Technology and Equipment
Xun Hou; Jiahu Yuan; James C. Wyant; Hexin Wang; Sen Han, Editor(s)

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