April 16th 07, 04:56 PM
posted to sci.image.processing,sci.astro.ccd-imaging,comp.graphics.algorithms
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Matching images from different sources.
I would go for SIFT, try:
http://en.wikipedia.org/wiki/Scale-i...ture_transform
Roberto Waltman כתב:
"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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