文件名称:YC
- 所属分类：
- 企业管理(财务/ERP/EIP等)
- 资源属性：
- [Matlab] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 325kb
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- 0次
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- 的身份***
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的飞洒地方的施工方的广泛的合法和规范和购房合同一统江湖也渐渐呼叫改发规划结合国家规划-Sprinkle the local construction side of the wide range of legal norms and dominate the political arena of the purchase contract also call gradually replaced planning with national planning
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下载文件列表
遗传算法实现图像分割\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
....................\..........\Lenna.bmp
....................\..........\Lenna_noise.bmp
....................\..........\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
....................\..........\datas
....................\segment_ga
遗传算法实现图像分割
....................\..........\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
....................\..........\Lenna.bmp
....................\..........\Lenna_noise.bmp
....................\..........\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
....................\..........\datas
....................\segment_ga
遗传算法实现图像分割