Description: Through the study of threshold segmentation method and genetic algorithm theory, matlab programming language used to achieve the genetic algorithm based on maximum entropy single threshold, dual-threshold maximum entropy, maximum entropy of two-dimensional single-threshold image segmentation and otsu genetic algorithm for image segmentation.
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segment_ga\2d_ksw_qiongju.asv
..........\2d_ksw_qiongju.m
..........\cross.asv
..........\cross.m
..........\cross1.asv
..........\cross1.m
..........\cross_2d.asv
..........\cross_2d.m
..........\cross_2d1.m
..........\ga_main.asv
..........\ga_main.m
..........\ga_main8.m
..........\hist2.m
..........\ksw.asv
..........\ksw.m
..........\ksw_2.asv
..........\ksw_2.m
..........\ksw_2d.asv
..........\ksw_2d.m
..........\ksw_2d_ga.asv
..........\ksw_2d_ga.m
..........\ksw_2d_ga_improve.asv
..........\ksw_2d_ga_improve.m
..........\ksw_2d_ga_improve8.m
..........\ksw_2d_qiongju.m
..........\ksw_ga.asv
..........\ksw_ga.m
..........\ksw_ga_2.asv
..........\ksw_ga_2.m
..........\ksw_ga_improve.asv
..........\ksw_ga_improve.m
..........\ksw_ga_improve8.m
..........\ksw_qiongju.asv
..........\ksw_qiongju.m
..........\Lenna.bmp
..........\Lenna_noise.bmp
..........\mutation.asv
..........\mutation.m
..........\mutation1.asv
..........\mutation1.m
..........\mutation_2d.asv
..........\mutation_2d.m
..........\mutation_2d1.m
..........\otosu.asv
..........\otosu.m
..........\otsu.m
..........\otsu0.m
..........\otsu_ga.asv
..........\otsu_ga.m
..........\otsu_ga_improve.m
..........\rice.tif
..........\rice_noise.tif
..........\rice_noise1.tif
..........\select.asv
..........\select.m
..........\select1.asv
..........\select1.m
..........\select_2d.asv
..........\select_2d.m
..........\select_2d1.asv
..........\select_2d1.m
..........\sourseimage.m
..........\threshold_ksw.asv
..........\threshold_ksw.m
..........\Untitled2.m
..........\window_function.fig
..........\window_function.m
segment_ga
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