Labelling edges in an image
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I am trying to do what should be a really basic image processing task, but don't seem to be able to find a particular neat solution so hopefully someone can suggest one.
I simply wish to find the edges between three coloured segments of the image below as single-pixel thick lines with 3 distinct values representing the 3 different boundary possibilities. I don't care what the 3 distinct values are so long as they are distinct.
This is the solution I want (ignore the colourmap, I was just trying to find colours that made it easy to distinguish) - here the 3 values happen to be 3, 4, 5.
My method for achieving it was:
f = @(x) ( x(2) ~= x(1) ) * ( x(2) + x(1) );
edgeRes = nlfilter( wedge, [1 2], f );
i.e. basically just looking at a 1*2 window and adding together the two values in the window if they differ.
I don't like this solution much though as nlfilter throws up a progress bar (plus it feels like there should be a much simpler method).
The input data and the edge result I have should be in the attached .mat file if anyone has any better idea for achieving this seemingly trivial task!
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Ahmet Cecen
2014-11-6
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For this particular image and any image with a similar enough trivial nature, there is a very short solution: A is your image with 3 regions which are 1 2 and 4, use circshift to shift A left by 1 pixel, then add the shifted image with the original image. Now anywhere with a 3 is a 1 2 boundary, 5 is a 1 4 boundary 6 is a 2 4 boundary.
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