文件名称:K_means
- 所属分类：
- 图形图像处理(光照,映射..)
- 资源属性：
- [Windows] [Visual.Net] [源码]
- 上传时间：
- 2012-11-26
- 文件大小：
- 5.78mb
- 下载次数：
- 0次
- 提 供 者：
- 傅**
- 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
本项目是居于K均值聚类的思想，对灰度图像进行分割。-This project is the idea of living in the K-means clustering, the gray scale 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
K_means\K_means\K_means.vcproj
.......\.......\K_means.vcproj.PC-201105081838.Administrator.user
.......\.......\main.cpp
.......\.......\img_00020.bmp
.......\.......\img_00002.bmp
.......\.......\img_00004.bmp
.......\.......\img_00005.bmp
.......\.......\10.bmp
.......\.......\kmeans.cpp
.......\.......\Kmeans.h
.......\.......\histogram.h
.......\.......\01.PNG
.......\.......\histogram.cpp
.......\.......\2.PNG
.......\.......\1.bmp
.......\.......\kmeansBK.cpp
.......\.......\Debug\BuildLog.htm
.......\.......\.....\kmeansBK.obj
.......\.......\.....\main.obj
.......\.......\.....\vc90.idb
.......\.......\.....\vc90.pdb
.......\.......\.....\kmeans.obj
.......\.......\.....\K_means.exe.embed.manifest
.......\.......\.....\histogram.obj
.......\.......\.....\K_means.exe.embed.manifest.res
.......\.......\.....\K_means.exe.intermediate.manifest
.......\.......\.....\mt.dep
.......\.......\1.jpg
.......\.......\07.jpg
.......\K_means.ncb
.......\K_means.sln
.......\K_means.suo
.......\Debug\K_means.pdb
.......\.....\K_means.exe
.......\.....\07.jpg
.......\.....\1.jpg
.......\.....\lena2.BMP
.......\.....\lena1.BMP
.......\.....\img_00020.bmp
.......\.....\img_00002.bmp
.......\.....\img_00004.bmp
.......\.....\img_00005.bmp
.......\.....\10.bmp
.......\.....\Thumbs.db
.......\.....\5.bmp
.......\.....\2.PNG
.......\.....\1.bmp
.......\.....\img_00072.bmp
.......\.....\img_00022.bmp
.......\.....\img_00006.bmp
.......\.....\01.PNG
.......\.....\K_means.ilk
.......\K_means\Debug
.......\K_means
.......\Debug
K_means
.......\.......\K_means.vcproj.PC-201105081838.Administrator.user
.......\.......\main.cpp
.......\.......\img_00020.bmp
.......\.......\img_00002.bmp
.......\.......\img_00004.bmp
.......\.......\img_00005.bmp
.......\.......\10.bmp
.......\.......\kmeans.cpp
.......\.......\Kmeans.h
.......\.......\histogram.h
.......\.......\01.PNG
.......\.......\histogram.cpp
.......\.......\2.PNG
.......\.......\1.bmp
.......\.......\kmeansBK.cpp
.......\.......\Debug\BuildLog.htm
.......\.......\.....\kmeansBK.obj
.......\.......\.....\main.obj
.......\.......\.....\vc90.idb
.......\.......\.....\vc90.pdb
.......\.......\.....\kmeans.obj
.......\.......\.....\K_means.exe.embed.manifest
.......\.......\.....\histogram.obj
.......\.......\.....\K_means.exe.embed.manifest.res
.......\.......\.....\K_means.exe.intermediate.manifest
.......\.......\.....\mt.dep
.......\.......\1.jpg
.......\.......\07.jpg
.......\K_means.ncb
.......\K_means.sln
.......\K_means.suo
.......\Debug\K_means.pdb
.......\.....\K_means.exe
.......\.....\07.jpg
.......\.....\1.jpg
.......\.....\lena2.BMP
.......\.....\lena1.BMP
.......\.....\img_00020.bmp
.......\.....\img_00002.bmp
.......\.....\img_00004.bmp
.......\.....\img_00005.bmp
.......\.....\10.bmp
.......\.....\Thumbs.db
.......\.....\5.bmp
.......\.....\2.PNG
.......\.....\1.bmp
.......\.....\img_00072.bmp
.......\.....\img_00022.bmp
.......\.....\img_00006.bmp
.......\.....\01.PNG
.......\.....\K_means.ilk
.......\K_means\Debug
.......\K_means
.......\Debug
K_means