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Proceedings Paper

Distortion-invariant pattern recognition using composite Fourier plane nonlinear filtering
Author(s): Bahram Javidi; Wenlu Wang; Guanshen Zhang
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Paper Abstract

In this paper we investigate composite Fourier-plane nonlinear filters for distortion invariant pattern recognition. Different types of noise such as spatially non-overlapping color background noise, other non-target object, real scene noise, and additive white noise are used to investigate the performance of the filter. Computer simulation results are presented to show the performance enhancement using Fourier-plane nonlinearities in the composite filter designs. The training image sets and the test image sets are generate by in-plane and out-plane rotation of different aircraft.

Paper Details

Date Published: 24 October 1997
PDF: 16 pages
Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997);
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Wenlu Wang, Univ. of Connecticut (United States)
Guanshen Zhang, Univ. of Connecticut (United States)


Published in SPIE Proceedings Vol. 3159:
Algorithms, Devices, and Systems for Optical Information Processing
Bahram Javidi; Demetri Psaltis, Editor(s)

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