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Proceedings Paper

Illumination-invariant pattern recognition with a binary nonlinear joint transform correlator using spatial frequency dependent threshold function
Author(s): Bahram Javidi; Joseph L. Horner; Amir H. Fazlollahi; Jian Li
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Paper Abstract

The correlation performance of binary joint transform correlators with unknown input light illumination is investigated for different thresholding methods. It is shown that a binary joint transform correlator that uses a spatial frequency dependent threshold function for binarization of the joint power spectrum is illumination invariant. The performance of the binary joint transform correlator with unknown input light illumination using a variety of thresholding methods is investigated.

Paper Details

Date Published: 9 November 1993
PDF: 7 pages
Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163563
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Joseph L. Horner, Rome Lab. (United States)
Amir H. Fazlollahi, Univ. of Connecticut (United States)
Jian Li, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 2026:
Photonics for Processors, Neural Networks, and Memories
Stephen T. Kowel; William J. Miceli; Joseph L. Horner; Bahram Javidi; Stephen T. Kowel; William J. Miceli, Editor(s)

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