Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Nonlinear joint-transform correlation: an optimal solution for adaptive image discrimination and input noise robustness

Not Accessible

Your library or personal account may give you access

Abstract

We develop a processor for pattern recognition that is optimum in terms of discrimination and is tolerant to variations of the object to be recognized. This optimum processor is found to be adaptive nonlinear joint-transform correlator.

© 1994 Optical Society of America

Full Article  |  PDF Article
More Like This
Basic properties of nonlinear global filtering techniques and optimal discriminant solutions

Philippe Réfrégier, Vincent Laude, and Bahram Javidi
Appl. Opt. 34(20) 3915-3923 (1995)

Adaptive phase-input joint transform correlator

Victor H. Diaz-Ramirez and Vitaly Kober
Appl. Opt. 46(26) 6543-6551 (2007)

Phase-encoded input joint transform correlator with improved pattern discriminability

Guowen Lu, Zheng Zhang, and F. T. S. Yu
Opt. Lett. 20(11) 1307-1309 (1995)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (6)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved