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Optical Engineering

Class-associative color pattern recognition using a shifted phase-encoded joint transform correlation
Author(s): Mohammed Nazrul Islam; Mohammad S. Alam; Mohammad Rafiqul Haider
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Paper Abstract

A new shifted phase-encoded fringe-adjusted joint transform correlation (SPJTC) technique is proposed for class-associative color pattern recognition. In this technique, the joint color image containing the class member images and unknown input scene images is split into three fundamental color components—red, green, and blue—which are then processed through three different channels using the SPJTC technique to obtain individual joint power spectra (JPS). For correlation performance improvement, a new class-associative color fringe-adjusted filter (CCFAF) has been proposed. The combined JPSs obtained by fusing all of the individual joint power spectra are then multiplied by the CCFAF transfer function. The proposed scheme provides a single correlation peak per target with excellent correlation discrimination for both noise-free and noisy conditions. Simulation results are provided to verify the effectiveness of the proposed technique.

Paper Details

Date Published: 1 July 2006
PDF: 9 pages
Opt. Eng. 45(7) 075006 doi: 10.1117/1.2227364
Published in: Optical Engineering Volume 45, Issue 7
Show Author Affiliations
Mohammed Nazrul Islam, Univ. of South Alabama (United States)
Mohammad S. Alam, Univ. of South Alabama (United States)
Mohammad Rafiqul Haider, Bangladesh Univ. of Engineering and Technology (Bangladesh)

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