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Proceedings Paper

Parameter Seleciion For Iconic And Symbolic Pattern Recognition Filters
Author(s): D. Casasent; S. A. Liebowitz; A. Mahalanobis
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Paper Abstract

Comprehensive simulation results using new data bases on automatic target recognition are presented. New organized methods for selection of filter synthesis parameters are proposed. Guidelines are provided for proper selection of training set images, the shift required for filter synthesis, and the choice of true and false class labels. The use of multiple correlation planes, symbolic filters and the effects of shading are discussed, and quantitative data are presented.

Paper Details

Date Published: 21 August 1987
PDF: 22 pages
Proc. SPIE 0754, Optical and Digital Pattern Recognition, (21 August 1987); doi: 10.1117/12.939995
Show Author Affiliations
D. Casasent, Carnegie Mellon University (United States)
S. A. Liebowitz, Carnegie Mellon University (United States)
A. Mahalanobis, Carnegie Mellon University (United States)

Published in SPIE Proceedings Vol. 0754:
Optical and Digital Pattern Recognition
Hua-Kuang Liu; Paul S. Schenker, Editor(s)

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