1 May 1989 Fourier-Mellin Spatial Filters For Invariant Pattern Recognition
Author Affiliations +
Optical Engineering, 28(5), 285494 (1989). doi:10.1117/12.7976987
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.
Yunlong Sheng, "Fourier-Mellin Spatial Filters For Invariant Pattern Recognition," Optical Engineering 28(5), 285494 (1 May 1989). https://doi.org/10.1117/12.7976987

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