Abstract

An architecture for the implementation of optical pattern recognition is proposed that makes use of convolution-kernel-based optimal trade-off filters to allow for an increased speed of operation and filter storage capability. The derivation of these new convolution-kernel-based optimal trade-off filters is presented, and their noise robustness and discrimination capabilities are discussed.

© 1996 Optical Society of America

Optimality of trade-off filters

J. Figue and Ph. Réfrégier
Appl. Opt. 32(11) 1933-1935 (1993)

Implementation of arbitrary real-valued correlation filters for the shadow-casting incoherent correlator

Vincent Laude, Pierre Chavel, and Philippe Réfrégier
Appl. Opt. 35(26) 5267-5274 (1996)

Distortion-invariant pattern recognition with Fourier-plane nonlinear filters

Bahram Javidi and Dean Painchaud
Appl. Opt. 35(2) 318-331 (1996)

Wavelet-transform-based composite filters for invariant pattern recognition

Zeev Zalevsky, Ido Ouzieli, and David Mendlovic
Appl. Opt. 35(17) 3141-3147 (1996)

Optimal trade-off filters for noise robustness, sharpness of the correlation peak, and Horner efficiency

Ph. Refregier
Opt. Lett. 16(11) 829-831 (1991)