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Optical Engineering

Fourier-Mellin Spatial Filters For Invariant Pattern Recognition
Author(s): Yunlong Sheng
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Paper Abstract

We use the kernel function of the circular Fourier and radial Mellin transforms to make spatial filters and extract shift, rotation, and scale invariant features from the 2-D correlation outputs. Using a small bank of filters, this approach allows pattern recognition for multiple input objects that is invariant to their independent distortions. These Fourier-Mellin spatial filters can be phase-only and binary phase-only filters and implemented in real time using commercially available spatial light modulators. These filters are suitable as preprocessors in artificial neuron networks for adaptive and self-organizing pattern recognition. Computer simulation results are shown.

Paper Details

Date Published: 1 May 1989
PDF: 7 pages
Opt. Eng. 28(5) doi: 10.1117/12.7976987
Published in: Optical Engineering Volume 28, Issue 5
Show Author Affiliations
Yunlong Sheng, Universite Laval (Canada)


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