Optical pattern recognition with nonlinear joint transform correlation

Bahram Javidi; Jianping Wang; Qing Tang

doi:10.1117/12.59853

1 April 1992 Optical pattern recognition with nonlinear joint transform correlation

Bahram Javidi, Jianping Wang, Qing Tang

Proceedings Volume 10262, Optical Pattern Recognition: A Critical Review; 1026209 (1992) https://doi.org/10.1117/12.59853
Event: Critical Reviews, 1991, San Jose, CA, United States

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.

Citation Download Citation

Bahram Javidi, Jianping Wang, and Qing Tang "Optical pattern recognition with nonlinear joint transform correlation", Proc. SPIE 10262, Optical Pattern Recognition: A Critical Review, 1026209 (1 April 1992); https://doi.org/10.1117/12.59853

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