Paper
23 June 1997 Scale- and translation-invariant detection of targets varying in fine details
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. L. Diab, Mohammad A. Karim, and Khan M. Iftekharuddin "Scale- and translation-invariant detection of targets varying in fine details", Proc. SPIE 3069, Automatic Target Recognition VII, (23 June 1997); https://doi.org/10.1117/12.277114
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CITATIONS
Cited by 1 scholarly publication.
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KEYWORDS
Detection and tracking algorithms

Target detection

Neural networks

Algorithm development

Image processing

Target recognition

Automatic target recognition

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