资 源 简 介
应用背景
Normailized cut 在Jianbo Shi文章中出现的较多，分割方法和数学理论更加近些，相关文献可以去史建波同志的主页Image Segmentation and Normalized Cuts部分查看，相关网址是 http://www.cis.upenn.edu/~jshi/jshi_publication.htm
关键技术 Given an input image I, construct a pixel-pixel pair-wise similarity matrix W based on Intervening Contours. Output the image segmentation with Normalized Cuts. Download this program if you are interested in image segmentation. Tested under Matlab
文 件 列 表
._affinityic.cpp
cimgnbmap.cpp
Ncut_9
._affinityic.cpp
._a_times_b_cmplx.cpp
._build_scene.m
._cimgnbmap.cpp
._compileDir_simple.m
._computeEdges.m
._computeW.m
._compute_relation.m
._compute_relation2.m
._demoNcutClustering.m
._demoNcutImage.m
._discretisation.m
._discretisationEigenVectorData.m
._doog1.m
._doog2.m
._eigs_new.m
._fft_filt_2.m
._gaussian.m
._ICgraph.m
._imread_ncut.m
._make_filterbank_even2.m
._make_filterbank_odd2.m
._mex_w_times_x_symmetric.cpp
._ncut.m
._NcutImage.m
._ncutW.m
._quadedgep.m
._README.txt
._showmask.m
._sparsifyc.cpp
._spmtimesd.cpp
._X2distances.m
1.jpg
3.jpg
affinityic.cpp
affinityic.mexw64
a_times_b_cmplx.cpp
b999a9014c086e067225a44200087bf40ad1cb2e.jpg
build_scene.m
cimgnbmap.cpp
cimgnbmap.mexw64
compileDir_simple.m
computeEdges.m
computeW.m
compute_relation.m
compute_relation2.m
demoNcutClustering.m
demoNcutImage.m
discretisation.m
discretisationEigenVectorData.m
doog1.m
doog2.m
eigs2.m
eigs_new.m
fft_filt_2.m
gaussian.m
ICgraph.m
imread_ncut.m
jpg_images
make_filterbank_even2.m
make_filterbank_odd2.m
mex_w_times_x_symmetric.cpp
mex_w_times_x_symmetric.mexw64
ncut.m
NcutImage.m
ncutW.m
pnvd2525150.jpg
QQͼƬ20150717182359.jpg
QQͼƬ20150727082543.jpg
quadedgep.m
README.txt
showmask.m
sparsifyc.cpp
sparsifyc.mexw64
spmtimesd.cpp
spmtimesd.mexw64
X2distances.m
sparsifyc.cpp
spmtimesd.cpp
