# function are not permitted in this context, a am using matlab R2012

1 回表示 (過去 30 日間)
Mohammedashraf Shaikh 2017 年 5 月 4 日
function[d] = hcompare_EMD(h1,h2)
d = sum(abs(cumsum(h1) - cumsum(h2))); end
function[h] = histImage(img)
% This function calculates normalized histogram of image.
% Normalized histogram is histogram h, that has at
% each i place in it, value:
% (number of picture pixels with gray level i-1) /
% (total num of pixels in picture).
sum = 0;
[y,x] = size(img); % getting sizes of image
h = zeros(1,256); % creating output histogram array
for i = 1:1: y % runing on rows
for j = 1:1: x % running on colomns
% gray level is addtess to cell in output histogram array
% we add there 1 (bacause of current pixel (y,x) has this gray level
h(img(i,j)) = h(img(i,j)) + 1;
% pay attention to fact, that we use here pixel value as index!
end
end
h = h./(y*x);
end % to calculate the distance between the histograms of the two images %% %(histArray, histPattern):
function[dmap] = patDistMAp(histArray, histPattern)
[y,x,z] = size(histArray);
dmap = zeros(y,x); % output array
for i = 1:1: y % runing on rows
for j = 1:1: x % running on colomns
hist = histArray(i,j,:);
% for k = 1:1:256 % making array 1x256 from 1x1x256 % h1(k) = hist(1,1,k); % there is a permute function, % end % but we will use it next time)
h1 = permute(squeeze(hist),[2,1]);
% Using temp variable, as MATLAB7 wants it:
temp = hcompare_EMD(histPattern,h1);
dmap(i,j) = temp;
end
end
end

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