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.
We present the implementation of dynamic Diffractive Optical Elements on three different types of commercially available liquid crystal spatial light modulators, each of them featuring a different modulation capability. The one using Twisted-Nematic liquid crystal exhibits coupled amplitude and phase modulation, the one using analog Ferroelectric liquid crystal a pure amplitude modulation and the one using Nematic liquid crystal a pure phase modulation. Based on experimental results, the performance of these three devices is compared.
We describe an optoelectronic incoherent multichannel processor that is able to segment an object in a real image. The process is based on an active contour algorithm that has been transposed to optical signal processing to accelerate image processing. This implementation requires exact-valued correlations and thus opens attractive perspectives in terms of optical analog computation. Furthermore, this optical multichannel processor setup encourages incoherent processing with high-resolution images.
One coherent processor and one incoherent processor, both including an active contour optical implementation were constructed and are presented. The coherent processor consists of a complete optical target tracking processor combining a Joint Transform Correlator with an optical implementation of a segmentation method based on active contours or "snakes". The incoherent processor is an optoelectronic multichannel processor that is able to segment an object in a real image. The process is based on an active contour algorithm that has been transposed to optics in order to accelerate image processing. The correlator, in its multichannel version, speeds up the overall frame rate of the optoelectronic processor. Experimental results for both processors are presented.
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