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Color Image Enhancement Based on Rough Set and Adaptive Genetic Algorithm

Dangui Chen, Xiliang Zeng

Abstract


Rough set and adaptive genetic algorithm are used to enhance color image in this paper. Considering image as a knowledge system, and using rough set theory classification method to combine image color and noise properties together to classify image, and The boundary of the image area is to be gotten, and then different enhancement algorithm adopted to enhance the result. During the process of rough set classification, using adaptive genetic algorithm to modify threshold value, getting the best result. Through actual application, effectively enhanced image, so to some degree the proposed algorithm has innovation and application value.

Keywords


rough set, adaptive genetic algorithm, color image enhancement.

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