Winner take all in a large array of opto-electronic feedback circuits for image processing

In this paper we consider an application of a WTA dynamics developed from artificial neural networks to the concept of a large array of optoelectronic feedback circuits. The merging of the winner take all (WTA) dynamics with optical implementation could potentially provide improved systems for high resolution image processing. The time required for digital image processing grows dramatically with the increase in image frame resolution, which complicates segmentation, detection, and tracking of objects within an image. This approach could address the challenges found in high resolution image processing. Examples of simulation results based on this approach are presented.