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Proceedings Paper

Modular optical systems for nonlinear data processing and manipulation
Author(s): David Mendlovic; Zeev Zalevsky; Eran Gur
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Paper Abstract

The paper reviews the usage of modular optical systems for nonlinear data processing and manipulation. The paper starts with presenting an algorithm for multi stage image processing in which a derivation of instillation having N stages of binary filters is used in order to generate general transformation and then to apply it for pattern recognition. Then, optical configuration that implements second order of Volterra operator is used for non-linear control processes. In the third part of the paper a fuzzy logic based algorithm is used in order to optimize the design of multi stage interconnection network (MIN). The optimization is done in a sense of minimal number of switching modules and minimal number of switching operations per routing stage. In the fourth part we present a technique for optical generation of fuzzy based rules. In the last part of the paper we suggest a fuzzy logic based technique for improving the depth of focus in an imaging system using as single-phase only filter. All the suggested processing configurations are backed up with either simulations or experimental verifications.

Paper Details

Date Published: 16 September 2002
PDF: 16 pages
Proc. SPIE 4929, Optical Information Processing Technology, (16 September 2002); doi: 10.1117/12.483201
Show Author Affiliations
David Mendlovic, Tel Aviv Univ. (Israel)
Zeev Zalevsky, Tel Aviv Univ. (Israel)
Eran Gur, Tel Aviv Univ. (Israel)

Published in SPIE Proceedings Vol. 4929:
Optical Information Processing Technology
Guoguang Mu; Francis T. S. Yu; Suganda Jutamulia, Editor(s)

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