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Proceedings Paper

Optical Pattern Recognition Using Average Filters To Produce Discriminant Hypersurfaces
Author(s): Charles F. Hester; David Casasent
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Paper Abstract

A hyperspace description of the multiclass (multiobject) pattern recognition problem is advanced. Average filters composed of linear sums of orthonormal basis functions are found to provide the necessary discriminant hypersurfaces. Optical correlation using weighted matched spatial filter synthesis is used to determine the basis functions and their linear weights. The average filters are then assembled on a digital computer and used in an optical frequency plane correlator. Initial problem formulation theory and simulation results are included for an infrared tank pattern recognition problem.

Paper Details

Date Published: 4 December 1979
PDF: 6 pages
Proc. SPIE 0201, Optical Pattern Recognition, (4 December 1979); doi: 10.1117/12.965613
Show Author Affiliations
Charles F. Hester, U. S. Army Missile Command (United States)
David Casasent, Carnegie-Mellon University (United States)

Published in SPIE Proceedings Vol. 0201:
Optical Pattern Recognition
David P. Casasent, Editor(s)

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