Re: Thermal Images enhancement


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Chinwe:
I do work with thermal images occasionally. Firefighters use special
cameras that, like the search and rescue, use live video. And like
S&R, firefighter cameras may have special proprietary processing that
goes on inside of them. Frame averaging, auto-intensity ranging, and
pseudo-coloring are the main processes that I know of, but the
manufacturer's may have other options available. However, if you're
doing some kind of project for a class, that doesn't mean you can't do
your project on non-live thermal videos that you've acquired from some
source. If you have something, go ahead and see what you can do with
it. Play around. Experiment. See what you can learn. Then write it
up and submit your project. CLAHE would be a good one to try. The
main use of thermal cameras is to find objects with an unusual
temperature compared to what they should have, or compared to their
surroundings. Maybe you could try some kind of intelligent auto-
thresholding method to find unusually bright or dark objects. Maybe
you could try edge finding with DOG filters (Difference of Gaussians)
which seem to do okay with the blurry low-res images typical of
thermal cameras. Maybe you could try various noise reduction methods
(e.g. frame averaging, median filters, sigma filtering, non-local
means, KNN filtering, BM3D, etc. etc.) to improve the quality of the
images.
Good luck,
ImageAnalyst

Analyst,
U cant imagine of how much help you ve been.
I will work on your suggestions.
Thanks a million.
Chinwe
.

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