Research and realization of image separation method based on independent component analysis and genetic algorithm

Jun-an Yang; Liang Tao; Zhenquan Zhuang; Li Guo

doi:10.1117/12.477199

31 July 2002 Research and realization of image separation method based on independent component analysis and genetic algorithm

Jun-an Yang, Liang Tao, Zhenquan Zhuang, Li Guo

Author Affiliations +

Proceedings Volume 4875, Second International Conference on Image and Graphics; (2002) https://doi.org/10.1117/12.477199
Event: Second International Conference on Image and Graphics, 2002, Hefei, China

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.

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Jun-an Yang, Liang Tao, Zhenquan Zhuang, and Li Guo "Research and realization of image separation method based on independent component analysis and genetic algorithm", Proc. SPIE 4875, Second International Conference on Image and Graphics, (31 July 2002); https://doi.org/10.1117/12.477199

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