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Optical Engineering

Selecting a composite correlation filter design: a survey and comparative study
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Paper Abstract

Many composite correlation filter designs have been proposed for solving a wide variety of target detection and pattern recognition problems. Due to the large number of available designs, however, it is often unclear how to select the best design for a particular application. We present a theoretical survey and an empirical comparison of several popular composite correlation filter designs. Using a database of rotational target imagery, we show that some such filter designs appear to be better choices than others under computational and performance constraints. We compare filter performance in terms of noise tolerance, computational load, generalization ability, and distortion in order to provide a multifaceted examination of the characteristics of various filter designs.

Paper Details

Date Published: 1 June 2008
PDF: 18 pages
Opt. Eng. 47(6) 067202 doi: 10.1117/1.2943217
Published in: Optical Engineering Volume 47, Issue 6
Show Author Affiliations
Ryan A. Kerekes, Oak Ridge National Lab. (United States)
B.V.K. Vijaya Kumar, Carnegie Mellon Univ. (United States)


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