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Proceedings Paper

Rotation invariant detection in a noisy environment using a wavelet-based joint transform correlator
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Paper Abstract

Wavelet based Joint transform correlator (JTC) for rotation invariant automatic target detection is proposed in this paper. Wavelet features of a set of rotationally distorted training images are first extracted at different levels of resolution. A simple composite filter formulation is then employed to construct the reference image of the JTC. Simulation results are presented showing the improved rotation-invariant detection performance of the proposed technique.

Paper Details

Date Published: 28 March 1995
PDF: 7 pages
Proc. SPIE 2490, Optical Pattern Recognition VI, (28 March 1995); doi: 10.1117/12.205768
Show Author Affiliations
Farid Ahmed, Univ. of Dayton (United States)
Mohammad S. Alam, Purdue Univ. (United States)
Mohammad A. Karim, Univ. of Dayton (United States)

Published in SPIE Proceedings Vol. 2490:
Optical Pattern Recognition VI
David P. Casasent; Tien-Hsin Chao, Editor(s)

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