Basic Properties of nonlinear Global Filtering Techniques and Optimal Discriminant Solutions

Philippe Réfrégier (1) , Vincent Laude (2) , Bahram Javidi (3)

1 FRESNEL - Institut FRESNEL
2 Thomson CSF Laboratoire Central de Recherches
3 ECE - Electrical and Computer Engineering Department [University of Connecticut]

The basic properties of nonlinear global filtering techniques are analyzed. A nonlinear processor for pattern recognition that is optimum in terms of discrimination and that is tolerant of variations of the object to be recognized is presented. We compare this processor with power-law and nonlinear joint transform correlators.

Domaines: Recherche d'information [cs.IR]

Philippe Réfrégier, Vincent Laude, Bahram Javidi. Basic Properties of nonlinear Global Filtering Techniques and Optimal Discriminant Solutions. Applied optics, 1995, 34 (20), pp.3915-3923. ⟨hal-00081237⟩