Based on maximum entropy criterion, through improved particle swarm optimization (pso) algorithm for image threshold segmentation, and compared with other segmentation algorithm. Function description: The main function is given priority to the program, no return values and parameters, can be directly run. Run results will call colorSegmentation () function and PSO () function

基于极大熵的改进型粒子群算法多重阈值图像分割\xyj.jpg
............................................\dhxy.jpg
............................................\dog.jpg
............................................\dogs.jpg
............................................\nj.jpg
............................................\ply.jpg
............................................\swk.jpg
............................................\covmatrix.m
............................................\colorSegmentation.m
............................................\colorseg.m
............................................\imstack2vectors.m
............................................\colorSegmentation.asv
............................................\mahalanobis.m
............................................\PSO.m
............................................\PSO.asv
............................................\PSOfun.m
............................................\PSOfun.asv
............................................\FitFun.m
............................................\FitFun.asv
............................................\PSOfun2.m
............................................\PSOfun2.asv
............................................\FitFun2.m
............................................\FitFun2.asv
............................................\main.m
............................................\readme.txt
基于极大熵的改进型粒子群算法多重阈值图像分割

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