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Proceedings Paper

Research and realization of image separation method based on independent component analysis and genetic algorithm
Author(s): Jun-an Yang; Liang Tao; Zhenquan Zhuang; Li Guo
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Paper Abstract

An advanced Independent Component Analysis (ICA) algorithm based on genetic algorithm is proposed with analysis to the ICA method. The proposed algorithm can be used to solve the problem of local optimum that is easily stacked into by normal numerical solution. The image separation simulation shows that the global optimum can be acquired through the proposed algorithm under the circumstance of adequate colony size and genetic generations.

Paper Details

Date Published: 31 July 2002
PDF: 8 pages
Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); doi: 10.1117/12.477199
Show Author Affiliations
Jun-an Yang, University of Science and Technology of China (China)
Liang Tao, Univ. of Science and Technology of China (China)
Zhenquan Zhuang, Univ. of Science and Technology of China (China)
Li Guo, Univ. of Science and Technology of China (China)


Published in SPIE Proceedings Vol. 4875:
Second International Conference on Image and Graphics
Wei Sui, Editor(s)

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