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Proceedings Paper

Effects of thresholding in multiobject binary joint transform correlation
Author(s): Bahram Javidi; Jianping Wang; Qing Tang
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Paper Abstract

We investigate the performance of the binary joint transform correlator (JTC) in the presence of multiple objects for two types of thresholding that are used to binarize the joint power spectrum. The first method uses the median of the joint power spectrum of the reference image and the input scene as the threshold value. The second method is a two dimensional thresholding technique used to maximize the light intensity of the correlation peak and it eliminates the even order harmonic terms. The correlation performance of the binary JTC is determined for both thresholding methods. The binary JTC output is determined analytically in terms of the multiple input targets. The separation requirements of the binary JTC and the conventional JTC in the presence of multiple targets are computed. Computer simulation and experiments are presented for a limited number of multiple target images to determine the correlation peak to sidelobe ratio, and correlation width for both thresholding techniques. In the experiments, a hybrid optical processor with an optically addressed SLM is used to implement the binary JTC. The results indicate that using both thresholding methods, the binary JTC produces large peak to sidelobe ratio and narrow peak for the multiple targets images used in the tests. The two dimensional threshold function produces better correlation performance compared with the median thresholding.

Paper Details

Date Published: 1 November 1991
PDF: 12 pages
Proc. SPIE 1564, Optical Information Processing Systems and Architectures III, (1 November 1991); doi: 10.1117/12.49711
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. 1564:
Optical Information Processing Systems and Architectures III
Bahram Javidi, Editor(s)

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