using genetic algorithms for image segmentation of the source. Matlab-based platform, in a fit- and two-dimensional segmentation.

Packet : 113172233segment_ga.rar filelist
segment_ga
segment_ga\2d_ksw_qiongju.asv
segment_ga\2d_ksw_qiongju.m
segment_ga\cross.asv
segment_ga\cross.m
segment_ga\cross1.asv
segment_ga\cross1.m
segment_ga\cross_2d.asv
segment_ga\cross_2d.m
segment_ga\cross_2d1.m
segment_ga\datas
segment_ga\datas\ksw_2d_ga_improve.fig
segment_ga\datas\ksw_2d_ga_qiongju_noise.fig
segment_ga\datas\ksw_ga_improve.fig
segment_ga\datas\ksw_ga_improve_noise.fig
segment_ga\datas\ksw_qiongju.fig
segment_ga\datas\ksw_qiongju_noise.fig
segment_ga\datas\二维最佳直方图熵法及传统遗传算法.txt
segment_ga\datas\二维最佳直方图熵法及改进遗传算法.txt
segment_ga\datas\二维最佳直方图熵法及穷举法.txt
segment_ga\datas\最佳直方图熵法及改进遗传算法.txt
segment_ga\datas\最佳直方图熵法及穷举法.txt
segment_ga\ga_main.asv
segment_ga\ga_main.m
segment_ga\hist2.m
segment_ga\ksw.asv
segment_ga\ksw.m
segment_ga\ksw_2d.asv
segment_ga\ksw_2d.m
segment_ga\ksw_2d_ga.asv
segment_ga\ksw_2d_ga.m
segment_ga\ksw_2d_ga_improve.asv
segment_ga\ksw_2d_ga_improve.m
segment_ga\ksw_2d_qiongju.m
segment_ga\ksw_ga.asv
segment_ga\ksw_ga.m
segment_ga\ksw_ga_improve.asv
segment_ga\ksw_ga_improve.m
segment_ga\ksw_qiongju.asv
segment_ga\ksw_qiongju.m
segment_ga\Lenna.bmp
segment_ga\Lenna_noise.bmp
segment_ga\mutation.m
segment_ga\mutation1.m
segment_ga\mutation_2d.asv
segment_ga\mutation_2d.m
segment_ga\mutation_2d1.m
segment_ga\otosu.asv
segment_ga\otosu.m
segment_ga\rice.tif
segment_ga\rice_noise.tif
segment_ga\rice_noise1.tif
segment_ga\select.asv
segment_ga\select.m
segment_ga\select1.asv
segment_ga\select1.m
segment_ga\select_2d.asv
segment_ga\select_2d.m
segment_ga\select_2d1.asv
segment_ga\select_2d1.m
segment_ga\sourseimage.m
segment_ga\threshold_ksw.asv
segment_ga\threshold_ksw.m
segment_ga\window_function.fig
segment_ga\window_function.m

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