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Applied Optics

Applied Optics


  • Vol. 35, Iss. 2 — Jan. 10, 1996
  • pp: 318–331

Distortion-invariant pattern recognition with Fourier-plane nonlinear filters

Bahram Javidi and Dean Painchaud  »View Author Affiliations

Applied Optics, Vol. 35, Issue 2, pp. 318-331 (1996)

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The use of nonlinear techniques in the Fourier plane of pattern-recognition correlators can improve the correlators' performance in terms of discrimination against objects similar to the target object, correlation-peak sharpness, and correlation noise robustness. Additionally, filter designs have been proposed that provide the linear correlator with invariance properties with respect to input-signal distortions and rotations. We propose simple modifications to presently known distortion-invariant correlator filters that enable these filter designs to be used in a nonlinear correlator architecture. These Fourier-plane nonlinear filters can be implemented electronically, or they may be implemented optically with a nonlinear joint transform correlator. Extensive simulation results are presented that illustrate the performance enhancements that are gained by the unification of nonlinear techniques with these filter designs.

© 1996 Optical Society of America

Original Manuscript: March 10, 1995
Revised Manuscript: July 13, 1995
Published: January 10, 1996

Bahram Javidi and Dean Painchaud, "Distortion-invariant pattern recognition with Fourier-plane nonlinear filters," Appl. Opt. 35, 318-331 (1996)

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