基于光学晶闸管的可编程CNN早期图像处理

1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359) Pub Date : 1998-04-14 DOI:10.1109/CNNA.1998.685382

R. Buczyński, H. Thienpont, S. Jankowski, T. Szoplik, I. Veretennicoff

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引用次数: 9

摘要

提出了离散时间细胞神经网络(DTCNN)的光电模型。利用光电器件实现了单元间的连接和并联输入输出。采用光晶闸管作为发射-接收器件。单元之间的连接是通过衍射达曼光栅实现的。我们提出了一种用于二值图像早期处理的双轨道系统。CNN系统执行数学形态学和空间逻辑运算。

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Programmable CNN based on optical thyristors for early image processing

An optoelectronic model of discrete time cellular neural networks (DTCNN) is presented. Connections between cells and parallel input-output are realized using optoelectronic devices. As an emitter-receiver device an optical thyristor is applied. Connections between cells are realized by diffractive Damman gratings. We propose a dual rail system for early processing of binary images. The CNN system performs mathematical morphology and space logic operations.

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来源期刊

1998 Fifth IEEE International Workshop on Cellular Neural Networks and their Applications. Proceedings (Cat. No.98TH8359)

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