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Proceedings Paper

Laboratory results for the optimized Fisher ratio
Author(s): John Michael Rollins; Richard D. Juday; Stanley E. Monroe
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Paper Abstract

We have developed theory for computing filters with as large as Fisher ratio as possible. That theory analytically accommodates a number of real-world conditions, including noise or clutter in the input scene that is known to its power spectral density, additive noise in the detection process, and constrained filter values. The theory is adaptable to single-class pattern recognition. Using laboratory results we demonstrate Fisher-optimized filters that have improvements over some characteristics of our previous optimization of the Rayleigh quotient. To optimize a filter for the Fisher ratio is not free of side effects. We show examples of the penalty paid as one asks a filter to recognize more and more different objects.

Paper Details

Date Published: 31 March 2000
PDF: 10 pages
Proc. SPIE 4043, Optical Pattern Recognition XI, (31 March 2000); doi: 10.1117/12.381594
Show Author Affiliations
John Michael Rollins, Hernandez Engineering (United States)
Richard D. Juday, NASA Johnson Space Ctr. (United States)
Stanley E. Monroe, Lockheed Martin Space Operations (United States)


Published in SPIE Proceedings Vol. 4043:
Optical Pattern Recognition XI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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