基于matla2D图像映射并计算对应的3D的距离.rar

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);