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Design of Ternary Correlation Filters to Reduce Probability of ErrorThe problem of designing ternary phase and amplitude filters (TPAF's) that reduce the probability of image misclassification for a two-class image set is studied. The Fisher ratio is used as a measure of the correct classification rate, and an attempt is made to maximize this quantity in the filter designs. Given the nonanalytical nature of the design problem, a simulated annealing optimization technique is employed. Computer simulation results are presented for several cases including single in-class and out-of-class image sets and multiple image sets corresponding to the design of synthetic discriminant function filters. Significant improvements are found in expected rates of correct classification in comparison to binary phase-only filters and other TPAF designs. Approaches to accelerate the filter design process are also discussed.
Document ID
19970007165
Acquisition Source
Ames Research Center
Document Type
Reprint (Version printed in journal)
Authors
Downie, John D.
(NASA Ames Research Center Moffett Field, CA United States)
Date Acquired
August 17, 2013
Publication Date
June 1, 1994
Publication Information
Publication: Optical Engineering
Publisher: Society of Photo-Optical Instrumentation Engineers
Volume: 33
Issue: 6
ISSN: 0091-3286
Subject Category
Numerical Analysis
Report/Patent Number
NASA-TM-112108
NAS 1.15:112108
Accession Number
97N70519
Funding Number(s)
PROJECT: RTOP 506-59-21
Distribution Limits
Public
Copyright
Public Use Permitted.
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