Bare bones particle swarm optimization(BBPSO) can not get good optimization performance because it is easy to get stuck into local optimum.Using wavelet mutation when no fitness improvement is observed,a new segmentation algorithm based on wavelet mutation BBPSO(WMBBPSO) and fuzzy entropy is proposed.The proposed algorithm uses WMBBPSO to explore fuzzy parameters of maximum fuzzy entropy,and the optimal fuzzy parameter combination is got,then the segmentation threshold is obtained.The experiment...