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Optical Engineering

Circular optimal trade-off and distance-classifier correlation filters
Author(s): Samuel Peter Kozaitis; Sila Thangwaritorn
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Paper Abstract

We use circular versions of advanced distortion-invariant filters such as optimal trade-off synthetic discriminant function and distance classifier correlation filters to obtain rotation invariance with an optical correlator. The filter noise performance is compared using a common measure of probability of error because the filters have different characteristics. The filters are real-valued so they can be implemented on a variety of SLMs. The circular symmetry of the filters significantly decreases their computational requirement.

Paper Details

Date Published: 1 May 2000
PDF: 7 pages
Opt. Eng. 39(5) doi: 10.1117/1.602480
Published in: Optical Engineering Volume 39, Issue 5
Show Author Affiliations
Samuel Peter Kozaitis, Florida Institute of Technology (United States)
Sila Thangwaritorn, Florida Institute of Technology (United States)

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