Optical implementation of a snake-based segmentation with an incoherent correlator
Eric Hueber, Laurent Bigué, Philippe Réfrégier, Pierre Ambs · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2001
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.