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Highlights from
Stereo testbed v0.1

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

histogramMatching(image1, image2, type) 
%
% Author: Raul Correal
% Date: Feb 2012
% (raulcorreal@hotmail.com)
%
% Input:
% - image1: original image1
% - image2: original image2
% - type: (1) Gray matching, (2) RGB matching, (3) HSV matching
%
% Output
% - image2T: image2 transformed
%

function [image2T] = histogramMatching(image1, image2, type)

    
    switch type
        
        case 1
            
            %Gray: convert to Gray and match channels
            if (ndims(image1) > 2)
                image2T = histeq(rgb2gray(image2), imhist(rgb2gray(image1)));
            else
                image2T = histeq(image2, imhist(image1));
            end
           
        case 2
             
            %RGB: match each channel separatedly
            image2T(:,:,1) = histeq(image2(:,:,1), imhist(image1(:,:,1)));
            image2T(:,:,2) = histeq(image2(:,:,2), imhist(image1(:,:,2)));
            image2T(:,:,3) = histeq(image2(:,:,3), imhist(image1(:,:,3)));
            
        case 3            
            
            %HSV: convert to HSV and match V channel
            HSV1 = rgb2hsv(image1);
            HSV2 = rgb2hsv(image2);

%            HSV2(:,:,2) = mat2gray(histeq(uint8(HSV2(:,:,2).*255), imhist(uint8(HSV1(:,:,2).*255))));

            HSV2(:,:,3) = mat2gray(histeq(uint8(HSV2(:,:,3).*255), imhist(uint8(HSV1(:,:,3).*255))));
            
            image2T = uint8(hsv2rgb(HSV2).*255);             
    end

end

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