"pixel.to.life" wrote:
If your problem is solely because of intensity inconsistencies
in the images,

Unfortunately not. The images are different in
other ways, but hopefully there is enough of a
common structure to allow to correlate then
somehow.

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 .

Thanks, will take a look. I am only getting
started on this area, so any additional
information is both interesting and potentially
useful.

Roberto Waltman

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