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

Eric Hueber; Laurent Bigue; Philippe Refregier; Pierre Ambs

doi:10.1117/12.421128

20 March 2001 Optical implementation of a snake-based segmentation with an incoherent correlator

Eric Hueber, Laurent Bigue, Philippe Refregier, Pierre Ambs

Proceedings Volume 4387, Optical Pattern Recognition XII; (2001) https://doi.org/10.1117/12.421128
Event: Aerospace/Defense Sensing, Simulation, and Controls, 2001, Orlando, FL, United States

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.

Citation Download Citation

Eric Hueber, Laurent Bigue, Philippe Refregier, and Pierre Ambs "Optical implementation of a snake-based segmentation with an incoherent correlator", Proc. SPIE 4387, Optical Pattern Recognition XII, (20 March 2001); https://doi.org/10.1117/12.421128

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