matlab直方图匹配,直方图匹配 histogram match

本文用MATLAB实现直方图匹配，程序如下：

clear;

% matching dst‘s histogram to src‘s histogram.

path = ‘C:\Users\admin\Desktop\HDRdataset\Oneplus\rgb\0726\18\‘;

src = imread([path, ‘172.jpg‘]);

dst = imread([path, ‘173.jpg‘]);

% figure; imshow(src); title(‘src‘);

% figure; imshow(dst); title(‘dst‘);

[H, W, colorChannel] = size(src);

out = zeros(H, W, colorChannel);

figure; set(gcf,‘Position‘,[100,100,800,800], ‘color‘,‘w‘); %原点的位置x，原点的位置y，宽，高，其坐标为points

for k = 1: colorChannel

disp(k);

hist_src = imhist(src(:, :, k));

subplot(3, 3, 1 + 3*(k-1));

plot(hist_src); title([‘hist of src ‘, num2str(k)]);

cumHist_src = []; %src的累积直方图

for i=1:256

cumHist_src = [cumHist_src sum(hist_src(1:i))];

end

dst1 = dst(:, :, k);

hist_dst = imhist(dst1); %dst的直方图

subplot(3, 3, 2 + 3*(k-1));

plot(hist_dst); title([‘hist of dst ‘, num2str(k)]);

cumHist_dts = []; %dst的累积直方图

for i=1:256

cumHist_dts = [cumHist_dts sum(hist_dst(1:i))];

end

for i=1:256

tmp{i} = cumHist_src - cumHist_dts(i);

tmp{i} = abs(tmp{i});

[a, index(i)] = min(tmp{i}); %找到两个累积直方图距离最近的点

end

imgn = zeros(H,W);

for i = 1:H

for j = 1:W

imgn(i,j) = index(dst1(i,j)+1)-1; %由原图的灰度通过索引映射到新的灰度

end

end

subplot(3, 3, 3 + 3*(k-1));

plot(imhist(imgn)); title([‘hist of new ‘, num2str(k)]); %新图的直方图

out(:, :, k) = imgn;

end

out=uint8(out);

imwrite(out, [path, ‘new.jpg‘]);

% figure; imshow(out); title(‘out‘)

disp(‘Done‘);

原文：https://www.cnblogs.com/picassooo/p/11504937.html