Abstract

Optical pattern recognition under variations of illumination is an important issue. The sliced orthogonal nonlinear generalized (SONG) correlation has been proposed as an optical pattern recognition tool to discriminate with high efficiency between objects. But, at the same time, the SONG correlation is very sensitive to gray-scale image variations. In a previous work, we expanded the definition of the SONG correlation to the Weighted SONG (WSONG) correlation to modify the discrimination capability in a controlled way. Here, we propose to use the WSONG when pattern recognition is obtained by means of optical correlation under nonuniform illumination. The calculation of the WSONG correlation requires the summation of many linear correlations between binary images. To implement it optically, we use a time sequential joint transform correlator.

© 2002 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Maximum likelihood for target location in the presence of substitutive noise

Pascuala Garcia-Martinez, Philippe Réfrégier, Henri H. Arsenault, and Carlos Ferreira
Appl. Opt. 40(23) 3855-3860 (2001)

Nonlinear rotation-invariant pattern recognition by use of the optical morphological correlation

Pascuala Garcia-Martinez, Carlos Ferreira, Javier Garcia, and Henri H. Arsenault
Appl. Opt. 39(5) 776-781 (2000)

Binary joint transform correlator based on differential processing of the joint transform power spectrum

Sheng Zhong, Jiuxing Jiang, Shutian Liu, and Chunfei Li
Appl. Opt. 36(8) 1776-1780 (1997)

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 (11)

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