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Proceedings Paper

Scale- and translation-invariant detection of targets varying in fine details
Author(s): S. L. Diab; Mohammad A. Karim; Khan M. Iftekharuddin
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Paper Abstract

We propose an enabling algorithm for automatic target detection wherein the targets are almost similar but differ in fine details. The translated and scaled target images are processed in Mellin transform domain and subsequently detected using a learning vector quantization (LVQ) neural network.

Paper Details

Date Published: 23 June 1997
PDF: 12 pages
Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); doi: 10.1117/12.277114
Show Author Affiliations
S. L. Diab, Univ. of Dayton (United States)
Mohammad A. Karim, Univ. of Dayton (United States)
Khan M. Iftekharuddin, BDM International (United States)


Published in SPIE Proceedings Vol. 3069:
Automatic Target Recognition VII
Firooz A. Sadjadi, Editor(s)

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