文件名称:Baanneal2a

  • 所属分类:
  • Windows编程
  • 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:
  • noa***
  • 相关连接:
  • 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

基于遗传算法的图像分割。用MATLAB实现。遗传算法就这样样反复迭代,向着更优解的方向进化,直至满足某种预定的优化指标。

-Based on genetic algorithm for image segmentation. Using MATLAB. Genetic algorithms so kind iterative evolution toward a more optimal solution direction until you meet some predetermined optimization indicators.
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下载文件列表





Baanneal2a\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

Baanneal2a

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