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：
- 2015-05-06
- 文件大小：
- 349kb
- 下载次数：
- 0次
- 提 供 者：
- 王*
- 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
这是一系列图像分割的matlab程序，其中有二维最佳直方图熵法及传统遗传算法，二维最佳直方图熵法及改进遗传算法，二维最佳直方图熵法及穷举法，最佳直方图熵法及改进遗传算法，最佳直方图熵法及穷举法，并包含示例图片以及结果，是学习图像分割的一个很好的工具-This is a series of image segmentation matlab program, which has the best two-dimensional histogram entropy method and the traditional genetic algorithm, the best two-dimensional histogram entropy and improved genetic algorithm, the best two-dimensional histogram entropy method and the exhaustive method Best histogram entropy and improved genetic algorithm, optimal histogram entropy method and the exhaustive method, and includes sample pictures and the results, is a good learning image segmentation tool
(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
..........\Lenna.bmp
..........\Lenna_noise.bmp
..........\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