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Optical Engineering

Composite Fourier-plane nonlinear filter for distortion-invariant pattern recognition
Author(s): Bahram Javidi; Wenlu Wang; Guanshen Zhang
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Paper Abstract

We investigate composite Fourier-plane nonlinear filters for distortion-invariant pattern recognition. Different types of noise such as spatially nonoverlapping color background noise, other nontarget objects, 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 generated by in-plane and out-plane rotation of different aircraft.

Paper Details

Date Published: 1 October 1997
PDF: 7 pages
Opt. Eng. 36(10) doi: 10.1117/1.601319
Published in: Optical Engineering Volume 36, Issue 10
Show Author Affiliations
Bahram Javidi, Univ. of Connecticut (United States)
Wenlu Wang, Univ. of Connecticut (United States)
Guanshen Zhang, Univ. of Connecticut (United States)


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