Abstract
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.
© 1995 Optical Society of America
Full Article | PDF ArticleMore Like This
Philippe Refregier, Vincent Laude, and Bahram Javidi
Opt. Lett. 19(6) 405-407 (1994)
Bahram Javidi and Dean Painchaud
Appl. Opt. 35(2) 318-331 (1996)
Santiago Vallmitjana, Arturo Carnicer, Estela Martín-Badosa, and Ignacio Juvells
Appl. Opt. 34(20) 3942-3949 (1995)