MATLAB: About image intensity equalization

equalizationintensitytransform

How to make two images intensity wise same(intensity eualization)

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inten1 = sum(double(TheFirstImage(:)));
inten2 = sum(double(TheSecondImage(:)));
TheSecondImage = cast( TheSecondImage .* (inten1 ./ inten2), class(TheSecondImage));

However, the above has some subtle problems in areas that area already quite bright.

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MATLAB: How to normalise Image intensity

Hi Kyle,

The method suggested by Sean de is fine to normalize the maximum intensity. However, it will not necessarily give you the same appearance for both images (due to the intensity distributions not definitely being scaled by a multiplicative factor).

I suggest you try the histogram transfer method in order to get a somewhat similar appearance. Something along the lines of:

b = histeq(b,imhist(a));

Cheers.

MATLAB: How can we generate an image with equal number of intensity values

   needHeight = 96;   needWidth = 78;   %adjust as required
   default_pix_intens = 0;   %default intensity if the template does not describe enough pixels
   template = [5, 100;       %count, intensity
              5, 50;
              5, 200];
   num_pix_needed = needHeight * needWidth;
   pixdata = [];
   for K = 1 : size(template,1)
      pixdata = [pixdata, repmat(template(K,2), 1, template(K,1))];
   end
   num_pix_templated = length(pixdata);
   if num_pix_templated > num_pix_needed
     error( fprintf('only %d total pixels needed but template describes %d pixels', num_pix_needed, num_pix_templated) );
   elseif num_pix_templated < num_pix_needed
     pixdata(num_pix_templated+1 : num_pix_needed) = default_pix_intens;
   end
   scrambled_pixdata = pixdata(randperm(numel(pixdata)));  %assuming you want a random order
   pix_matrix = reshape(scrambled_pixdata, needHeight, needWidth);

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Related Solutions

MATLAB: How to normalise Image intensity

MATLAB: How can we generate an image with equal number of intensity values

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