Hi!<br><b>Background</b>: I want to compare two images that are identical in many respects (pixel-wise) but are different in the pixel intensity values they have. I&#39;m aware of the many image comparison methods out there, but I want to keep it very very simple  (for all the image analysists: these two images are artificial and made through the same process with some differences without any spatial translation). <div>
<b>What I am doing right now</b>: is calculating the euclidian distance between the pixel intensities of the 2 images. The mean of all the distances (if the image is 500*500 pixels then there are 500^2 distances) gives me a measure of how similar those images are. <div>
<b>My question is</b>: is the euclidian distance really the best option when comparing natural numbers that can only range between 0 and 255, or should I use some other measure of distance or transform the pixel intensities first?</div>
<div><br></div><div><b>Thanks </b>in advance!</div><div>  <br><br>Yakir L. Gagnon, PhD student<br>The Lund Vision Group<br>Tel  +46 (046) 222 93 40<br>Cell +46 (073) 753 63 54<br>Fax +46 (046) 222 44 25<br><a href="http://www.lu.se/o.o.i.s/7758">http://www.lu.se/o.o.i.s/7758</a><br>
<a href="http://www.google.com/profiles/12.yakir">http://www.google.com/profiles/12.yakir</a></div></div>
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