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added 673 characters in body
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havakok
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Found This cute algorithm to solve this.

%original histogram
Hist=imhist(Im);
%Create probabilty vector for each grayscale value
mapVec=zeros(1,256);
for i = 1:size(Im,1)
    for j = 1:size(Im,2)
        %add one to representing bin for each value of
        %grayscale found in the image
        mapVec(Im(i,j)+1)=mapVec(Im(i,j)+1)+1;
    end
end
%Generate the cumulative histogram
sum=0;
for i=1:size(mapVec,2)
    sum=sum+mapVec(i);
    mapVec(i)=sum;
end
%divide by number of Pixels to find CDF
mapVec=mapVec/(size(Im,1)*size(Im,2));
%round the result times number of bins
mapVec=round(mapVec*256);

Found This cute algorithm to solve this.

Found This cute algorithm to solve this.

%original histogram
Hist=imhist(Im);
%Create probabilty vector for each grayscale value
mapVec=zeros(1,256);
for i = 1:size(Im,1)
    for j = 1:size(Im,2)
        %add one to representing bin for each value of
        %grayscale found in the image
        mapVec(Im(i,j)+1)=mapVec(Im(i,j)+1)+1;
    end
end
%Generate the cumulative histogram
sum=0;
for i=1:size(mapVec,2)
    sum=sum+mapVec(i);
    mapVec(i)=sum;
end
%divide by number of Pixels to find CDF
mapVec=mapVec/(size(Im,1)*size(Im,2));
%round the result times number of bins
mapVec=round(mapVec*256);
Source Link
havakok
  • 682
  • 1
  • 5
  • 19

Found This cute algorithm to solve this.