Abstract
Image segmentation algorithm based on Particle Swarm Optimization(PSO) and fuzzy entropy cannot have satisfactory performance because the classic PSO easily falls into local optimization and premature convergence.Concerning this shortcoming,a new segmentation algorithm based on wavelet mutation PSO and fuzzy entropy was proposed.The new algorithm used wavelet mutation PSO to explore fuzzy parameters of maximum fuzzy entropy,and to get the optimum fuzzy parameter combination,and then obtained the segmentation threshold.According to the comparison of the experimental results between the new algorithm and the other two algorithms,the new algorithm is of good segmentation,low time cost and self adaptivity.
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