Filtering techniques for optical pattern recognition

Philippe Refregier

doi:10.1117/12.354760

19 July 1999 Filtering techniques for optical pattern recognition

Philippe Refregier

Proceedings Volume 3749, 18th Congress of the International Commission for Optics; (1999) https://doi.org/10.1117/12.354760
Event: ICO XVIII 18th Congress of the International Commission for Optics, 1999, San Francisco, CA, United States

Abstract

Optical pattern recognition and in particularly optical correlation has been the subject of intensive research for many years. The basic principle consists of the comparison of a reference image with the scene to analyze. The potential advantage of optical technologies is their ability to determine the conelation function very rapidly. Most of the research effort has concentrated on technology, and particularly on the spatial light modulators (SLM) which enable to encode the reference and the input images on a coherent optical beam and on the detectors. The recent availability of efficient SLM's and fast detectors has allowed the realization of different [1,2,3] optical correlator demonstrators and the question of their practical fields of applications becomes more stringent.

Citation Download Citation

Philippe Refregier "Filtering techniques for optical pattern recognition", Proc. SPIE 3749, 18th Congress of the International Commission for Optics, (19 July 1999); https://doi.org/10.1117/12.354760

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available