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24 October 1997 Distortion-invariant pattern recognition using composite Fourier plane nonlinear filtering
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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.
© (1997) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bahram Javidi, Wenlu Wang, and Guanshen Zhang "Distortion-invariant pattern recognition using composite Fourier plane nonlinear filtering", Proc. SPIE 3159, Algorithms, Devices, and Systems for Optical Information Processing, (24 October 1997); https://doi.org/10.1117/12.284203
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