文件名称:segment_ga
- 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：
- 320kb
- 下载次数：
- 0次
- 提 供 者：
- 李**
- 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
利用遗传算法进行图像分割的源程序.基于matlab平台,适合于一维和二维分割.-using genetic algorithms for image segmentation of the source. Matlab-based platform, in a fit- and two-dimensional segmentation.
相关搜索： 图像分割
遗传算法
图像分割
matlab
matlab
遗传算法
分割
matlab
图像分割
genetic
image
segmentation
matlab
图像分割
遗传算法
遗传算法
图像
遗传算法
matlab
遗传算法
图像分割
matlab
matlab
遗传算法
分割
matlab
图像分割
genetic
image
segmentation
matlab
图像分割
遗传算法
遗传算法
图像
遗传算法
matlab
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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
..........\datas
..........\.....\ksw_2d_ga_improve.fig
..........\.....\ksw_2d_ga_qiongju_noise.fig
..........\.....\ksw_ga_improve.fig
..........\.....\ksw_ga_improve_noise.fig
..........\.....\ksw_qiongju.fig
..........\.....\ksw_qiongju_noise.fig
..........\.....\二维最佳直方图熵法及传统遗传算法.txt
..........\.....\二维最佳直方图熵法及改进遗传算法.txt
..........\.....\二维最佳直方图熵法及穷举法.txt
..........\.....\最佳直方图熵法及改进遗传算法.txt
..........\.....\最佳直方图熵法及穷举法.txt
..........\ga_main.asv
..........\ga_main.m
..........\hist2.m
..........\ksw.asv
..........\ksw.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_qiongju.m
..........\ksw_ga.asv
..........\ksw_ga.m
..........\ksw_ga_improve.asv
..........\ksw_ga_improve.m
..........\ksw_qiongju.asv
..........\ksw_qiongju.m
..........\mutation.m
..........\mutation1.m
..........\mutation_2d.asv
..........\mutation_2d.m
..........\mutation_2d1.m
..........\otosu.asv
..........\otosu.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
..........\window_function.fig
..........\window_function.m
..........\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
..........\datas
..........\.....\ksw_2d_ga_improve.fig
..........\.....\ksw_2d_ga_qiongju_noise.fig
..........\.....\ksw_ga_improve.fig
..........\.....\ksw_ga_improve_noise.fig
..........\.....\ksw_qiongju.fig
..........\.....\ksw_qiongju_noise.fig
..........\.....\二维最佳直方图熵法及传统遗传算法.txt
..........\.....\二维最佳直方图熵法及改进遗传算法.txt
..........\.....\二维最佳直方图熵法及穷举法.txt
..........\.....\最佳直方图熵法及改进遗传算法.txt
..........\.....\最佳直方图熵法及穷举法.txt
..........\ga_main.asv
..........\ga_main.m
..........\hist2.m
..........\ksw.asv
..........\ksw.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_qiongju.m
..........\ksw_ga.asv
..........\ksw_ga.m
..........\ksw_ga_improve.asv
..........\ksw_ga_improve.m
..........\ksw_qiongju.asv
..........\ksw_qiongju.m
..........\mutation.m
..........\mutation1.m
..........\mutation_2d.asv
..........\mutation_2d.m
..........\mutation_2d1.m
..........\otosu.asv
..........\otosu.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
..........\window_function.fig
..........\window_function.m