文件列表:

LBF_v0.1\Demo_fourImages.m (3701, 2008-12-07)
LBF_v0.1\Demo_mri_nonuniform.m (3153, 2009-02-13)
LBF_v0.1\Demo_noisySynthetic.m (3160, 2008-12-07)
LBF_v0.1\Demo_vessel.m (3126, 2008-12-07)
LBF_v0.1\LSE.dll (36864, 2007-09-03)
LBF_v0.1\mri_nonuniform.bmp (20338, 2007-08-09)
LBF_v0.1\mybrainC100b_initialLSF.mat (45687, 2007-08-10)
LBF_v0.1\noisyNonUniform.bmp (7078, 2007-08-17)
LBF_v0.1\noisyNonUniform_initialLSF.mat (53584, 2006-10-11)
LBF_v0.1\nonhomo_initialLSF.mat (38398, 2007-08-10)
LBF_v0.1\Thumbs.db (7680, 2009-04-13)
LBF_v0.1\vessel2.bmp (13398, 2007-08-17)
LBF_v0.1\Vessel2_initialLSF2.mat (65137, 2007-08-10)
LBF_v0.1\vessel3.bmp (14702, 2007-08-17)
LBF_v0.1\Vessel3_initialLSF.mat (77086, 2007-08-10)
LBF_v0.1 (0, 2009-04-13)

This package demomstrates an improved algorithm based on the local binary fitting (LBF) model in Chunming Li et al's paper: Chunming Li, Chiu-Yen Kao, John Gore, Zhaohua Ding "Implicit Active Contours Driven By Local Binary Fitting Energy" in Proceedings of CVPR'07. Usage: These codes can be used for Matlab 7.0.4 or higher versions in Windows. Run the Demos in the M-files for several test images. Once an image comes out, click the mouse to generate a polygon as the initial contour: left click to get a number of points, then right click to get the end point. The number of iterations may need to be increased if the initial contour is too far away from the desired object boundary.

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