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   -> Volume 5, Issue 4


Question: Translation/scale invariant image recognition
 
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peyton@ece.nps.navy.mil (William Peyton 06-96)
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PostPosted: Wed Dec 04, 2002 9:52 am    
Subject: Question: Translation/scale invariant image recognition
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Question: Translation/scale invariant image recognition

Dear Sir:

I am a student at the Naval Postgraduate School in
Monterey. I am writing to you because I have developed a wavelet
application unlike any I have read about anywhere, and I wanted
to know if what I have done is worthy of publication.
Specifically, I have developed some general image
recognition algorithms using wavelets which are both translation
invariant and scale invariant, i.e., they work at or near 100%
regardless of the position or the size of the image.
I have applied the algorithms to OCR-B character
recognition, and they work 100% regardless of the size
or position of the input within the scanning window. I have
also tested it on line drawings of aircraft to see if these
algorithms can speed automatic target recognition, and work
well there also.
My problem is that I am not sure that this is a big deal
or not. Most image processing texts deal only with the
case of registered images, so they avoid the problem of
translation and scale invariance. However, registering
an image properly is enormously computationally intensive,
and it seems desirable to avoid this preprocessing
step if it does not hurt performance.
Do you think this is a worthwhile endevour? Do you
know anyone who might be interested?

Bill Peyton
LT USN
All times are GMT + 1 Hour
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