K-mean algorithm to cluster sub-blocks according to the U, V, to finalize the image segmentation, segmentation have blocks with different gray levels represented.

k_mean_uv\k_mean_uv\k_mean_uv.vcproj
.........\.........\ReadMe.txt
.........\.........\stdafx.h
.........\.........\targetver.h
.........\.........\stdafx.cpp
.........\.........\k_mean_uv.vcproj.20121028-0840.Administrator.user
.........\.........\Frame.cpp
.........\.........\Frame.h
.........\.........\Debug\BuildLog.htm
.........\.........\.....\k_mean_uv.exe.embed.manifest
.........\.........\.....\vc90.idb
.........\.........\.....\k_mean_uv.pch
.........\.........\.....\vc90.pdb
.........\.........\.....\stdafx.obj
.........\.........\.....\Frame.obj
.........\.........\.....\k_mean_uv.exe.embed.manifest.res
.........\.........\.....\k_mean_uv.exe.intermediate.manifest
.........\.........\.....\mt.dep
.........\.........\.....\k_mean_uv.obj
.........\.........\.....\Upsample.obj
.........\.........\Upsample.h
.........\.........\k_mean_uv.cpp
.........\.........\Upsample.cpp
.........\k_mean_uv.ncb
.........\k_mean_uv.sln
.........\k_mean_uv.suo
.........\Debug\k_mean_uv.ilk
.........\.....\k_mean_uv.exe
.........\.....\k_mean_uv.pdb
.........\k_mean_uv\Debug
.........\k_mean_uv
.........\Debug
k_mean_uv

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