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Proceedings Paper

Optical pattern recognition with nonlinear joint transform correlation
Author(s): Bahram Javidi; Jianping Wang; Qing Tang
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Paper Abstract

We review the nonlinear joint transform correlator (JTC) including the kth law nonlinear JTC, and the binary nonlinear JTC. Multiple objects detection using binary joint transform correlation are presented. An optimum threshold function is computed to maximize the light intensity of the correlation peak and to eliminate the even order harmonic terms. The correlation performance of the binary JTC is determined for different thresholding methods. The binary JTC produces large peak to sidelobe ratio and narrow peak for the multiple targets. The optimum threshold function produces better correlation performance compared with the median thresholding.

Paper Details

Date Published: 1 April 1992
PDF: 20 pages
Proc. SPIE 10262, Optical Pattern Recognition: A Critical Review, 1026209 (1 April 1992); doi: 10.1117/12.59853
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Jianping Wang, Univ. of Connecticut (United States)
Qing Tang, Univ. of Connecticut (United States)

Published in SPIE Proceedings Vol. 10262:
Optical Pattern Recognition: A Critical Review
Joseph L. Horner; Bahram Javidi, Editor(s)

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