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Proceedings Paper

Advanced Symbolic And Inference Optical Correlation Filter Results
Author(s): David Casasent; Abhijit Mahalanobis; Donald Fetterly
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Paper Abstract

New optical correlation filter results are reviewed for use in symbolic and inference correlators for ATR scene analysis. MACE filter synthesis has attractive properties that include: easily detectable peaks, distortion-invariance, simplified training set selection, solutions to input bias effects, performance in high noise, performance in real background clutter, region-of-interest MACE filters, filter quantization tests, and less clutter with its reduced number of training set images.

Paper Details

Date Published: 29 June 1989
PDF: 13 pages
Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); doi: 10.1117/12.951526
Show Author Affiliations
David Casasent, Carnegie Mellon University (United States)
Abhijit Mahalanobis, University of Arizona (United States)
Donald Fetterly, General Dynamics (United States)

Published in SPIE Proceedings Vol. 1053:
Optical Pattern Recognition
Hua-Kuang Liu, Editor(s)

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