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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 31, Iss. 8 — Mar. 10, 1992
  • pp: 1117–1125

Iterative optimization algorithms for filter generation in optical correlators: a comparison

Uri Mahlab and Joseph Shamir  »View Author Affiliations


Applied Optics, Vol. 31, Issue 8, pp. 1117-1125 (1992)
http://dx.doi.org/10.1364/AO.31.001117


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Abstract

A general approach to the implementation of highly selective spatial filters for pattern recognition leads to a nonlinear optimization problem. Three optimization algorithms, hill climbing (direct search), simulated annealing, and the genetic algorithm, were investigated for implementation on hybrid electro-optical systems. Experimental results indicate the substantial superiority of the genetic algorithm in terms of operating speed and performance quality.

© 1992 Optical Society of America

History
Original Manuscript: February 12, 1991
Published: March 10, 1992

Citation
Uri Mahlab and Joseph Shamir, "Iterative optimization algorithms for filter generation in optical correlators: a comparison," Appl. Opt. 31, 1117-1125 (1992)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-31-8-1117

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