What is believed to be the first incoherent snake-based optoelectronic processor that is able to segment an object in a real image is described. The process, based on active contours (snakes), consists of correlating adaptive binary references with the scene image. The proposed optical implementation of algorithms that are already operational numerically opens attractive possibilities for faster processing. Furthermore, this experiment has yielded a new, versatile application for optical processors.
© 2001 Optical Society of America
(070.0070) Fourier optics and signal processing : Fourier optics and signal processing
(070.4550) Fourier optics and signal processing : Correlators
(070.5010) Fourier optics and signal processing : Pattern recognition
(100.0100) Image processing : Image processing
(100.1160) Image processing : Analog optical image processing
E. Hueber, L. Bigué, P. Réfrégier, and P. Ambs, "Optical snake-based segmentation processor with a shadow-casting incoherent correlator," Opt. Lett. 26, 1852-1854 (2001)