%0 Journal Article
%A YANG Kai
%A JIANG Hua-wei
%T Research of improved algorithm for multilevel thresholding image segmentation based on fuzzy maximum entropy
%D 2009
%R 10.3778/j.issn.1002-8331.2009.32.055
%J Computer Engineering and Applications
%P 174-177
%V 45
%N 32
%X Based on fuzzy maximum entropy for multilevel thresholding image segmentation，a novel improved algorithm combining genetic algorithm and ICM algorithm is proposed.First of all，the fuzzy maximum entropy function is used as the adaptation of genetic algorithm.Then improvements are appropriately made on parameter，lastly step of the new algorithm is proposed.The new algorithm overcomes some weaknesses of the traditional entropy methods，reduces times of computation and enhances efficiency of computation.Experimental results demonstrate that the new algorithm has some advantages，such as speediness，validity and practicability.
%U http://cea.ceaj.org/EN/10.3778/j.issn.1002-8331.2009.32.055