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