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Proceedings Paper

Optical implementation of a snake-based segmentation with an incoherent correlator
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Paper Abstract

This paper presents an incoherent optoelectronic processor which is able to segment an object in a real image. The process, based on active contours (snakes), consists in correlating adaptive binary references with the scene image or with a preprocessed version of the scene image. The proposed optical implementation of algorithms which are already operational numerically opens attractive perspectives as far as speed is concerned. Furthermore, this experiment is a new application for optical processors.

Paper Details

Date Published: 20 March 2001
PDF: 8 pages
Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); doi: 10.1117/12.421128
Show Author Affiliations
Eric Hueber, Univ. de Haute-Alsace (France)
Laurent Bigue, Univ. de Haute-Alsace (France)
Philippe Refregier, Ecole Nationale Superieure de Physique de Marseille (France)
Pierre Ambs, Univ. de Haute-Alsace (France)

Published in SPIE Proceedings Vol. 4387:
Optical Pattern Recognition XII
David P. Casasent; Tien-Hsin Chao, Editor(s)

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