Abstract

Two techniques for performing digital image recognition on speckled images are presented. The speckle is treated as a source of randomness that is used to perform Monte Carlo calculations of the correlation between an input scene and a reference scene. In the first technique, correlation is determined from intensity measurements of the speckled image. In the second, the input image is clipped, and correlation is determined from the locations where the speckle intensity is above the clipping threshold. Several correlation filters are applied to the speckle and clipped-speckle techniques. The filters are compared according to the ability to distinguish a set of images. The experiments were performed using coherently illuminated rough objects.

© 1986 Optical Society of America

Full Article  |  PDF Article
OSA Recommended Articles
Rotation-invariant image recognition at low light levels

Thomas A. Isberg and G. Michael Morris
J. Opt. Soc. Am. A 3(7) 954-963 (1986)

Image classification at low light levels

Miles N. Wernick and G. Michael Morris
J. Opt. Soc. Am. A 3(12) 2179-2187 (1986)

Generation of random arrays using clipped laser speckle

Joseph Marron, Anthony J. Martino, and G. Michael Morris
Appl. Opt. 25(1) 26-30 (1986)

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 (4)

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

Tables (3)

You do not have subscription access to this journal. Article tables 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 (47)

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