graph-cut-method-to-segment-images
所属分类：图形图像处理
开发工具：matlab
文件大小：122KB
下载次数：150
上传日期：2012-10-28 21:43:48
上 传 者：
fannyyang123456
说明： 基于图割方法的图像分割程序代码，希望对您有帮助哦！
(graph cut method to segment images, it is nessary for you to have a look if you are doing image segmentation.)
文件列表:
图割算法\NcutImage_7\common_files\a_times_b_cmplx.dll (7114, 2004-06-18)
图割算法\NcutImage_7\common_files\a_times_b_cmplx.mexglx (7820, 2004-06-18)
图割算法\NcutImage_7\common_files\a_times_b_cmplx.mexmac (13096, 2004-06-18)
图割算法\NcutImage_7\common_files\discretisation.m (1251, 2004-06-18)
图割算法\NcutImage_7\common_files\discretisationEigenVectorData.asv (202, 2004-06-18)
图割算法\NcutImage_7\common_files\discretisationEigenVectorData.m (317, 2004-06-18)
图割算法\NcutImage_7\common_files\eigs2.m (37466, 2004-06-18)
图割算法\NcutImage_7\common_files\mex_w_times_x_symmetric.dll (9728, 2004-06-18)
图割算法\NcutImage_7\common_files\mex_w_times_x_symmetric.mexglx (8713, 2004-06-18)
图割算法\NcutImage_7\common_files\mex_w_times_x_symmetric.mexmac (13396, 2004-06-18)
图割算法\NcutImage_7\common_files\ncut.asv (2339, 2004-06-18)
图割算法\NcutImage_7\common_files\ncut.m (2470, 2004-06-18)
图割算法\NcutImage_7\common_files\ncutW.asv (486, 2004-06-18)
图割算法\NcutImage_7\common_files\ncutW.m (604, 2004-06-18)
图割算法\NcutImage_7\common_files\sparsifyc.dll (8704, 2004-06-18)
图割算法\NcutImage_7\common_files\sparsifyc.mexglx (8541, 2004-06-18)
图割算法\NcutImage_7\common_files\sparsifyc.mexmac (9004, 2004-06-18)
图割算法\NcutImage_7\common_files\spmtimesd.dll (7168, 2004-06-18)
图割算法\NcutImage_7\common_files\spmtimesd.mexglx (7285, 2004-06-18)
图割算法\NcutImage_7\common_files\spmtimesd.mexmac (8888, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\jpg_images\1.jpg (12415, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\jpg_images\2.jpg (13587, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\jpg_images\3.jpg (3569, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\jpg_images\Thumbs.db (14336, 2012-10-28)
图割算法\NcutImage_7\specific_NcutImage_files\affinityic.c (4967, 2004-06-15)
图割算法\NcutImage_7\specific_NcutImage_files\affinityic.dll (7680, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\affinityic.mexglx (8162, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\affinityic.mexmac (8964, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\a_times_b_cmplx.c (10086, 2004-08-10)
图割算法\NcutImage_7\specific_NcutImage_files\cimgnbmap.c (4351, 2004-06-15)
图割算法\NcutImage_7\specific_NcutImage_files\cimgnbmap.dll (7168, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\cimgnbmap.mexglx (7801, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\cimgnbmap.mexmac (8960, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\computeEdges.asv (929, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\computeEdges.m (1072, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\computeW.asv (281, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\computeW.m (323, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\doog1.asv (468, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\doog1.m (468, 2004-06-18)
图割算法\NcutImage_7\specific_NcutImage_files\doog2.asv (657, 2004-06-18)
... ...
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
% 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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