disparitymap

所属分类:matlab编程
开发工具:matlab
文件大小:455KB
下载次数:503
上传日期:2010-10-12 22:03:59
上 传 者wangxnsjtu
说明:  立体匹配 获得立体图像左右视图的视差图代码
(Stereo matching to obtain three-dimensional view of the disparity map image around the code)

文件列表:
lankton_stereo (0, 2010-06-20)
lankton_stereo\lankton_stereo (0, 2010-06-20)
lankton_stereo\lankton_stereo\demo.m (515, 2007-12-20)
lankton_stereo\lankton_stereo\msseg (0, 2010-06-20)
lankton_stereo\lankton_stereo\msseg\.#RGB2Luv.m (45, 2008-03-31)
lankton_stereo\lankton_stereo\msseg\.#test.m (45, 2008-03-31)
lankton_stereo\lankton_stereo\msseg\compile_edison_wrapper.m (483, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\edison_wrapper.m (6072, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\edison_wrapper_mex.cpp (8891, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\edison_wrapper_mex.h (776, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\edison_wrapper_mex.mexa64 (115147, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\edison_wrapper_mex.mexglx (105137, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\edison_wrapper_mex.mexw32 (49152, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\Luv2RGB.m (765, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\msfilt.m (1195, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\msseg.m (1468, 2007-12-20)
lankton_stereo\lankton_stereo\msseg\RGB2Luv.m (798, 2007-12-20)
lankton_stereo\lankton_stereo\total_stereo.m (6004, 2007-12-20)
lankton_stereo\lankton_stereo\tsuL.png (174571, 2007-12-20)
lankton_stereo\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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