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

Shift and projection invariant pattern recognition using logarithmic harmonics

Not Accessible

Your library or personal account may give you access

Abstract

Optical correlation schemes based on a matched filter containing a single logarithmic harmonic of an object are described. This correlator can provide shift and projection (tilt) invariant pattern recognition. The logarithmic harmonics, their orthogonality, and their completeness are presented, as well as experimental results using computer simulations and real optical targets. The projection invariance and the discrimination ability of this filter are successfully demonstrated.

© 1990 Optical Society of America

Full Article  |  PDF Article
More Like This
Composite harmonic filters for scale-, projection-, and shift-invariant pattern recognition

David Mendlovic, Zeev Zalevsky, Irena Kiryuschev, and Guy Lebreton
Appl. Opt. 34(2) 310-316 (1995)

Projection-invariant pattern recognition with a phase-only logarithmic-harmonic-derived filter

A. Moya, D. Mendlovic, J. García, and C. Ferreira
Appl. Opt. 35(20) 3862-3867 (1996)

Scale and projection invariant pattern recognition

David Mendlovic, Naim Konforti, and Emanuel Marom
Appl. Opt. 28(23) 4982-4986 (1989)

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 (10)

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 (15)

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, including rights for text and data mining and training of artificial technologies or similar technologies.