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Proceedings Paper

Wavelet-based joint transform correlation
Author(s): Mohammad S. Alam
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Paper Abstract

An improved technique for multiple target detection using wavelet transform based joint transform correlation is proposed. In this technique, a bank of wavelet filters are generated using the Mexican hat wavelet function. These filters are then sequentially superimposed on the joint power spectrum before applying the inverse Fourier transform to yield the correlation output. This technique is found to yield high correlation discrimination for multiple target detection of gray level input scenes while avoiding the false alarms as well as rejecting the non-target objects. An all-optical implementation for the proposed wavelet JTC technique is also suggested. Computer simulation results confirm the effectiveness of the proposed technique.

Paper Details

Date Published: 9 March 1999
PDF: 12 pages
Proc. SPIE 3715, Optical Pattern Recognition X, (9 March 1999); doi: 10.1117/12.341304
Show Author Affiliations
Mohammad S. Alam, Purdue Univ. (United States)

Published in SPIE Proceedings Vol. 3715:
Optical Pattern Recognition X
David P. Casasent; Tien-Hsin Chao, Editor(s)

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