Ncut_9

说明：  最为简单的图像分割程序，采用基于阈值法的图像分割算法，效果还不错(The most simple image segmentation, segmentation based on the threshold method, the effect is very obvious)

Ncut_9\._affinityic.cpp, 70 , 2010-01-21
Ncut_9\._a_times_b_cmplx.cpp, 70 , 2010-01-21
Ncut_9\._build_scene.m, 70 , 2005-03-21
Ncut_9\._cimgnbmap.cpp, 70 , 2010-01-21
Ncut_9\._compileDir_simple.m, 70 , 2010-01-21
Ncut_9\._computeEdges.m, 70 , 2004-06-18
Ncut_9\._computeW.m, 70 , 2004-06-18
Ncut_9\._compute_relation.m, 70 , 2006-05-04
Ncut_9\._compute_relation2.m, 70 , 2005-03-21
Ncut_9\._demoNcutClustering.m, 70 , 2010-01-22
Ncut_9\._demoNcutImage.m, 70 , 2010-01-22
Ncut_9\._discretisation.m, 70 , 2004-06-18
Ncut_9\._discretisationEigenVectorData.m, 70 , 2004-06-18
Ncut_9\._doog1.m, 70 , 2004-06-18
Ncut_9\._doog2.m, 70 , 2004-06-18
Ncut_9\._eigs_new.m, 70 , 2009-10-30
Ncut_9\._fft_filt_2.m, 70 , 2004-06-18
Ncut_9\._gaussian.m, 70 , 2004-06-18
Ncut_9\._ICgraph.m, 70 , 2004-06-18
Ncut_9\._imread_ncut.m, 70 , 2004-09-15
Ncut_9\._make_filterbank_even2.m, 70 , 2004-06-18
Ncut_9\._make_filterbank_odd2.m, 70 , 2004-06-18
Ncut_9\._mex_w_times_x_symmetric.cpp, 70 , 2010-01-21
Ncut_9\._ncut.m, 70 , 2010-01-21
Ncut_9\._NcutImage.m, 70 , 2004-06-18
Ncut_9\._ncutW.m, 70 , 2004-06-18
Ncut_9\._quadedgep.m, 70 , 2004-06-18
Ncut_9\._README.txt, 70 , 2010-01-22
Ncut_9\._showmask.m, 70 , 2004-06-18
Ncut_9\._sparsifyc.cpp, 70 , 2010-01-21
Ncut_9\._spmtimesd.cpp, 70 , 2010-01-21
Ncut_9\._X2distances.m, 70 , 2006-05-04
Ncut_9\affinityic.cpp, 5193 , 2010-01-21
Ncut_9\a_times_b_cmplx.cpp, 10479 , 2010-01-21
Ncut_9\build_scene.m, 3259 , 2005-03-21
Ncut_9\cimgnbmap.cpp, 4552 , 2010-01-21
Ncut_9\compileDir_simple.m, 466 , 2010-01-21
Ncut_9\computeEdges.m, 1072 , 2004-06-18
Ncut_9\computeW.m, 323 , 2004-06-18
Ncut_9\compute_relation.m, 675 , 2006-05-04
Ncut_9\compute_relation2.m, 898 , 2005-03-21
Ncut_9\demoNcutClustering.m, 1165 , 2010-01-22
Ncut_9\demoNcutImage.m, 1586 , 2010-01-22
Ncut_9\discretisation.m, 1251 , 2004-06-18
Ncut_9\discretisationEigenVectorData.m, 317 , 2004-06-18
Ncut_9\doog1.m, 468 , 2004-06-18
Ncut_9\doog2.m, 639 , 2004-06-18
Ncut_9\eigs_new.m, 60305 , 2009-10-30
Ncut_9\fft_filt_2.m, 654 , 2004-06-18
Ncut_9\gaussian.m, 684 , 2004-06-18
Ncut_9\ICgraph.m, 1102 , 2004-06-18
Ncut_9\imread_ncut.m, 310 , 2004-09-15
Ncut_9\jpg_images\._1.jpg, 70 , 2003-10-31
Ncut_9\jpg_images\._2.jpg, 70 , 2003-10-31
Ncut_9\jpg_images\._3.jpg, 70 , 2003-05-16
Ncut_9\jpg_images\._Thumbs.db, 70 , 2004-06-16
Ncut_9\jpg_images\1.jpg, 12415 , 2003-10-31
Ncut_9\jpg_images\2.jpg, 13587 , 2003-10-31
Ncut_9\jpg_images\3.jpg, 3569 , 2003-05-16
Ncut_9\jpg_images\Thumbs.db, 23552 , 2004-06-16
Ncut_9\make_filterbank_even2.m, 835 , 2004-06-18
Ncut_9\make_filterbank_odd2.m, 835 , 2004-06-18
Ncut_9\mex_w_times_x_symmetric.cpp, 1319 , 2010-01-21
Ncut_9\ncut.m, 2774 , 2010-01-21
Ncut_9\NcutImage.m, 757 , 2004-06-18
Ncut_9\ncutW.m, 604 , 2004-06-18
Ncut_9\quadedgep.m, 3430 , 2004-06-18
Ncut_9\README.txt, 2174 , 2010-01-22
Ncut_9\showmask.m, 301 , 2004-06-18
Ncut_9\sparsifyc.cpp, 6554 , 2010-01-21
Ncut_9\spmtimesd.cpp, 3458 , 2010-01-21
Ncut_9\X2distances.m, 217 , 2006-05-04
Ncut_9\jpg_images, 0 , 2007-08-25
Ncut_9, 0 , 2010-01-22