Code covered by the BSD License  

Highlights from
Stereo testbed v0.1

image thumbnail
from Stereo testbed v0.1 by Raul Correal
Testbed for analysis, evaluation and comparison of stereo matching algorithm.

msseg(I,hs,hr,M)
% Performing mean_shift image segmentation using EDISON code implementation
% of Comaniciu's paper with a MEX wrapper from Shai Bagon. links at bottom
% of help
%
% Usage:
%   [S L] = msseg(I,hs,hr,M)
%    
% Inputs:
%   I  - original image in RGB or grayscale
%   hs - spatial bandwith for mean shift analysis
%   hr - range bandwidth for mean shift analysis
%   M  - minimum size of final output regions
%
% Outputs:
%   S  - segmented image
%   L  - resulting label map
%
% Links:
% Comaniciu's Paper
%  http://www.caip.rutgers.edu/riul/research/papers/abstract/mnshft.html
% EDISON code
%  http://www.caip.rutgers.edu/riul/research/code/EDISON/index.html
% Shai's mex wrapper code
%  http://www.wisdom.weizmann.ac.il/~bagon/matlab.html
%
% Author:
%  This file and re-wrapping by Shawn Lankton (www.shawnlankton.com)
%  Nov. 2007
%------------------------------------------------------------------------

function [S L] = msseg(I,hs,hr,M)
  gray = 0;
  if(size(I,3)==1)
    gray = 1;
    I = repmat(I,[1 1 3]);
  end
  
  if(nargin < 4)
    hs = 10; hr = 7; M = 30;
  end
    
  [fimg labels modes regsize grad conf] = edison_wrapper(I,@RGB2Luv, ...
                                                    'SpatialBandWidth',hs, ...
                                                    'RangeBandWidth',hr, ...
                                                    'MinimumRegionArea',M);
  
  S = Luv2RGB(fimg);

  if(gray == 1)
    S = S(:,:,1);
  end
  
  L = labels;

Contact us