Description: 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
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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