lankton_stereo

所属分类:图形图像处理
开发工具:matlab
文件大小:464KB
下载次数:16
上传日期:2013-03-21 11:20:47
上 传 者xiaoxuexiaoxue
说明:  matlab实现立体图像匹配,在三维电视的立体匹配中应用效果很好
(matlab achieve stereo image matching, 3D TV stereo matching good effect)

文件列表:
lankton_stereo (0, 2012-03-03)
lankton_stereo\demo.m (515, 2007-12-20)
lankton_stereo\msseg (0, 2012-02-29)
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 (9728, 2012-02-13)
lankton_stereo\total_stereo.m (6004, 2007-12-20)
lankton_stereo\tsuL.png (174571, 2007-12-20)
lankton_stereo\tsuR.png (175014, 2007-12-20)

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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