NormalizedCuts8056
所属分类：图形图像处理
开发工具：MathCAD
文件大小：576KB
下载次数：10
上传日期：2009-03-14 15:49:00
上 传 者：
pupu_win
说明： 对图像分割归一化算法进行编程，得到很好的结果
(Of image segmentation algorithm normalized programming, get good results)
文件列表:
NormalizedCuts8056 (0, 2008-07-09)
NormalizedCuts8056\NormalizedCuts (0, 2008-07-09)
NormalizedCuts8056\NormalizedCuts\1.jpg (12415, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\2.jpg (13587, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\3.jpg (3569, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files (0, 2008-07-09)
NormalizedCuts8056\NormalizedCuts\common_files\a_times_b_cmplx.dll (7114, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\a_times_b_cmplx.mexglx (7820, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\a_times_b_cmplx.mexmac (13096, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\discretisation.m (1251, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\discretisationEigenVectorData.m (317, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\eigs2.m (37466, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\mex_w_times_x_symmetric.dll (9728, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\mex_w_times_x_symmetric.mexglx (8713, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\mex_w_times_x_symmetric.mexmac (13396, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\ncut.m (2470, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\ncutW.m (604, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\sparsifyc.dll (8704, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\sparsifyc.mexglx (8541, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\sparsifyc.mexmac (9004, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\spmtimesd.dll (7168, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\spmtimesd.mexglx (7285, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\common_files\spmtimesd.mexmac (8888, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\demo2.mht (211461, 2006-11-13)
NormalizedCuts8056\NormalizedCuts\demoNcutImage.m (1613, 2006-12-13)
NormalizedCuts8056\NormalizedCuts\main.m (309, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\nCut.doc (348672, 2006-12-13)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files (0, 2008-07-09)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\affinityic.c (4967, 2004-06-15)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\affinityic.dll (7680, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\affinityic.mexglx (8162, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\affinityic.mexmac (8964, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\a_times_b_cmplx.c (10086, 2004-08-10)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\cimgnbmap.asv (4351, 2006-12-01)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\cimgnbmap.c (4379, 2006-12-01)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\cimgnbmap.dll (7168, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\cimgnbmap.mexglx (7801, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\cimgnbmap.mexmac (8960, 2004-06-18)
NormalizedCuts8056\NormalizedCuts\specific_NcutImage_files\computeEdges.asv (1165, 2006-12-04)
... ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% Normalized Cut Image Segmentation Code %
% %
% Timothee Cour (UPENN), Stella Yu (Berkeley), Jianbo Shi (UPENN) %
% %
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
Installation Notes :
1) After you unzipped the files to mydir,
put the Current Directory in Matlab to mydir
2) In the matlab command prompt,
type demoNcutImage to see a demo
or...
type main to initialize the paths to subfolders
3) You can now try any of the functions
The files were tested under matlab 6.5
Top level functions:
NcutImage.m: given image "I", segment it into "nbSegments" segments
[SegLabel,NcutDiscrete,NcutEigenvectors,NcutEigenvalues,W]= NcutImage(I,nbSegments);
ICgraph.m: compute Intervening Contour based pixel similarity matrix W
W = ICgraph(I);
ncutW.m: segmentation given similarity matrix W
[NcutDiscrete,NcutEigenvectors,NcutEigenvalues] = ncutW(W,nbSegments);
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