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

机译:优胜者将全部光电反馈电路用于图像处理

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摘要

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.
机译:在本文中,我们考虑了从人工神经网络开发的WTA动力学在大量光电反馈电路概念上的应用。优胜者全彩(WTA)动态与光学实现的融合可能为高分辨率图像处理提供改进的系统。随着图像帧分辨率的提高,数字图像处理所需的时间急剧增加,这使图像中对象的分割,检测和跟踪变得复杂。这种方法可以解决在高分辨率图像处理中发现的挑战。给出了基于这种方法的仿真结果示例。

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