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May 2010

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Subject:
From:
Yakir Gagnon <[log in to unmask]>
Reply To:
Classification, clustering, and phylogeny estimation
Date:
Fri, 14 May 2010 17:35:07 +0200
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Hi!
*Background*: 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'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).
*What I am doing right now*: 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.
*My question is*: 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?

*Thanks *in advance!


Yakir L. Gagnon, PhD student
The Lund Vision Group
Tel  +46 (046) 222 93 40
Cell +46 (073) 753 63 54
Fax +46 (046) 222 44 25
http://www.lu.se/o.o.i.s/7758
http://www.google.com/profiles/12.yakir

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