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Hybrid phase-only matched filter for optical pattern recognition

Optical matched filters have been used for the recognition of patterns in a noisy background. Different types of matched filters have been proposed since the introduction of the VanderLugt matched spatial filter. A novel filter, the hybrid phase-only matched filter, is proposed which shows promise for better signal to noise ratio, correlation peak intensity and light efficiency compared to the recently proposed optimal phase-only filter. A neural technique for the design of space-domain binary filter for pattern recognition applications is developed. The method takes advantage of the similarity in the structure of the minimum squared error criterion for the construction of linear discriminant functions and the Lyapunov function of the Hopfield Neural Model.

Identiferoai:union.ndltd.org:arizona.edu/oai:arizona.openrepository.com:10150/278105
Date January 1990
CreatorsNadar, Mariappan Srirangam, 1965-
ContributorsMahalanobis, Abhijit
PublisherThe University of Arizona.
Source SetsUniversity of Arizona
Languageen_US
Detected LanguageEnglish
Typetext, Thesis-Reproduction (electronic)
RightsCopyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.

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