Abstract

We introduce a modification of the nonlinear morphological correlation for optical rotation-invariant pattern recognition. The high selectivity of the morphological correlation is conserved compared with standard linear correlation. The operation performs the common morphological correlation by extraction of the information by means of a circular-harmonic component of a reference. In spite of some loss of information good discrimination is obtained, especially for detecting images with a high degree of resemblance. Computer simulations are presented, as well as optical experiments implemented with a joint transform correlator.

© 2000 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Nonlinear morphological correlation: optoelectronic implementation

Pasquala Garcia-Martínez, David Mas, Javier García, and Carlos Ferreira
Appl. Opt. 37(11) 2112-2118 (1998)

Multiple-target detection with use of a modified amplitude-modulated joint transform correlator

Xianlie Huang, Hongkai Lai, and Zehua Gao
Appl. Opt. 36(35) 9198-9204 (1997)

Modified fringe-adjusted joint transform correlation to accommodate noise in the input scene

RuiKang K. Wang, Lin Shang, and Chris R. Chatwin
Appl. Opt. 35(2) 286-296 (1996)

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

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

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 OSA member, or as an authorized user of your institution.

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

Figures (7)

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

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

Equations (10)

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

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

Metrics

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

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