Hi, Roberto,

If your problem is solely because of intensity inconsistencies in the
images, try
using normalized mutual information based image fusion. It is widely
used to fuse medical images from different modality sources (e.g.
CT-MRI, CT-PET etc.) , so the final alignment is largely overlap and
intensity-difference independent. Heres the link to a survey article:
http://www.cs.jhu.edu/~cis/cista/746...nfo_survey.pdf .

Good luck!

P.



On Mar 13, 8:45 pm, Roberto Waltman wrote:
"Stupendous_Man" wrote:
If you can reduce your images into a list of discrete
point sources (or tie points, call them what you will),
there are plenty of routines devised by astronomers
to match up the lists and compute the geometric
transformation between the two lists. For example,

http://spiff.rit.edu/match/

No point sources in my case, I am looking mainly for ill-defined areas
at different temperature. Still, may be I can generate "points of
interest" based on local peaks, etc. and apply some of these
techniques. Thanks!

Roberto Waltman

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