文件名称:ga_segment
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 297kb
- 下载次数：
- 0次
- 提 供 者：
- **
- 相关连接：
- 无
- 下载说明：
- 别用迅雷下载，失败请重下，重下不扣分！
介绍说明－－下载内容均来自于网络，请自行研究使用
采用MATLAB语言编程实现了基于遗传算法的最大熵单阈值、最大熵双阈值、二维最大熵单阈值图像分割和基于最大类间方差遗传算法的图像分割-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.
(系统自动生成,下载前可以参看下载内容)
下载文件列表
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
..........\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