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Proceedings Paper

Noise and discrimination performance of the MINACE optical correlation filter
Author(s): Gopalan Ravichandran; David P. Casasent
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Paper Abstract

A new distortion-invariant optical correlation filter used to produce easily detectable correlation peaks in the presence of noise and clutter, and to provide better intraclass recognition, is presented. The new minimum noise and correlation energy (MINACE) filter produces sharp correlation peaks while maintaining an acceptable SNR in the correlation plane output in the presence of false targets (discrimination) and noise (clutter and background). The MINACE filter achieves this by use of a new tighter bound to the correlation plane energy problem. New test results are presented to show that this approach provides improved recognition (and reduced true class training set size), good discrimination, and improved performance in noise and clutter. Filter size requirements for such advanced distortion- invariant filters are also addressed.

Paper Details

Date Published: 1 August 1991
PDF: 16 pages
Proc. SPIE 1471, Automatic Object Recognition, (1 August 1991); doi: 10.1117/12.44882
Show Author Affiliations
Gopalan Ravichandran, Carnegie Mellon Univ. (United States)
David P. Casasent, Carnegie Mellon Univ. (United States)


Published in SPIE Proceedings Vol. 1471:
Automatic Object Recognition
Firooz A. Sadjadi, Editor(s)

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