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Proceedings Paper

A Mach-Zehnder nonzero order joint transform correlator for polychromatic pattern recognition
Author(s): Chungchen Lee; Chulung Chen
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Paper Abstract

In this article, we apply a novel method to polychromatic pattern recognition with a Mach-Zehnder nonzero order joint transform correlator. It is achieved by using the special arrangement of separated polychromatic components of objects and reference images and Lagrange multipliers technique to synthesize a reference function in the input spatial domain. The purpose is to sharpen the correlation peak and to reduce correlation sidelobes. Besides, we cleverly utilize the Stokes relations to remove the large zero order term directly in one step in this structure. Simulation results are presented to illustrate the improvements.

Paper Details

Date Published: 20 January 2006
PDF: 8 pages
Proc. SPIE 6027, ICO20: Optical Information Processing, 602717 (20 January 2006); doi: 10.1117/12.667939
Show Author Affiliations
Chungchen Lee, Yuan Ze Univ. (China)
Chulung Chen, Yuan Ze Univ. (China)


Published in SPIE Proceedings Vol. 6027:
ICO20: Optical Information Processing
Yunlong Sheng; Songlin Zhuang; Yimo Zhang, Editor(s)

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