lankton_stereo

所属分类:图形图像处理
开发工具:matlab
文件大小:1065KB
下载次数:616
上传日期:2008-06-20 09:57:22
上 传 者zhongbo
说明:  一个外国人写的基于分割的立体匹配算法代码,可以在matlab7.1以后版本中直接执行,代码结构也很清晰,适合分析学习
(Written by a foreigner based on the partition of the three-dimensional matching algorithm code, you can later matlab7.1 direct the implementation of the code structure is very clear and suitable for analysis of learning)

文件列表:
lankton_stereo\demo.m (600, 2008-06-19)
lankton_stereo\msseg\.#RGB2Luv.m (45, 2008-03-31)
lankton_stereo\msseg\.#test.m (45, 2008-03-31)
lankton_stereo\msseg\compile_edison_wrapper.m (483, 2007-12-20)
lankton_stereo\msseg\edison_wrapper.m (6072, 2007-12-20)
lankton_stereo\msseg\edison_wrapper_mex.cpp (8891, 2007-12-20)
lankton_stereo\msseg\edison_wrapper_mex.h (776, 2007-12-20)
lankton_stereo\msseg\edison_wrapper_mex.mexa64 (115147, 2007-12-20)
lankton_stereo\msseg\edison_wrapper_mex.mexglx (105137, 2007-12-20)
lankton_stereo\msseg\edison_wrapper_mex.mexw32 (49152, 2007-12-20)
lankton_stereo\msseg\Luv2RGB.m (765, 2007-12-20)
lankton_stereo\msseg\msfilt.m (1195, 2007-12-20)
lankton_stereo\msseg\msseg.m (1468, 2007-12-20)
lankton_stereo\msseg\RGB2Luv.m (798, 2007-12-20)
lankton_stereo\Thumbs.db (37888, 2008-06-19)
lankton_stereo\total_stereo.m (7990, 2008-06-19)
lankton_stereo\tsuL.png (174571, 2007-12-20)
lankton_stereo\tsuR.png (175014, 2007-12-20)
lankton_stereo\venusL.png (307609, 2005-06-21)
lankton_stereo\venusR.png (307325, 2005-06-21)
lankton_stereo\msseg (0, 2008-06-20)
lankton_stereo (0, 2008-06-20)

Welcome to the EDISON Wrapper for Matlab The EDISON system contains the image segmentation/edge preserving filtering algorithm described in the paper Mean shift: A robust approach toward feature space analysis and the edge detection algorithm described in the paper Edge detection with embedded confidence. More information about EDISON (and the original codes) can be found here: (http://www.caip.rutgers.edu/riul/research/code/EDISON/index.html) This interface allows these codes to be run from Matlab using MEX files. To use this wrapper, first run >>compile_edison_wrapper This will mex-ify all necessary codes. Then you can begin segmenting images. Here are some sample calls: >> %% This will load, segment, and display the "peppers" image >> I = imread('peppers.png'); >> [fimg labels modes regsize grad conf] = edison_wrapper(I,@RGB2Luv); >> imshow(Luv2RGB(fimg)) >> %% This sets some specific parameters and segments the gantrycrane image >> I = imread('gantrycrane.png'); >> [fimg labels modes regsize grad conf] = edison_wrapper(I,@RGB2Luv,... >> 'SpatialBandWidth',8,'RangeBandWidth',4,... >> 'MinimumRegionArea',50); >> subplot(2,1,1), imshow(I); subplot(2,1,2), imshow(Luv2RGB(fimg)); >> %% This performs filtering only the grayscale "cameraman" image >> I = imread('cameraman.tif'); >> I = repmat(I,[1 1 3]); >> [fimg labels modes regsize grad conf] = edison_wrapper(I,@RGB2Luv,... >> 'steps', 1, 'SpatialBandWidth',8,'RangeBandWidth',4); >> I = rgb2gray(Luv2RGB(fimg)); >> subplot(2,1,1), imshow(I); subplot(2,1,2), imshow(I);

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