Massively parallel optical fuzzy-neuro-chaos system for processing information depicted by pictures

Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium Pub Date : 1996-12-11 DOI:10.1109/AFSS.1996.583665

K. Taimano

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Abstract

A new optical system capable of understanding the meaning of a picture is proposed. The picture transforms and conveys instantaneously the information of the painter's imagery to viewers. This system can be formed using massively parallel optical fuzzy-neural networks that can recognize geometric patterns on the basis of incoherent optics. When the system applies the output to the input and the reference, the system can gaze and pursue a particular figure. In this system, the light intensity of the output image becomes chaotic. This change of the light intensity represents the characteristic of a thinking machine that behaves as the appreciator diverts his visual point, and interest in various parts of the picture according to a change of impression. The system understands the meaning of the picture on the basis of synthesizing impressions. The paper shows the fundamental optical diagram of this system and demonstrates that the system was able to gaze and pursue a particular figure.

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用于图像信息处理的大规模并行光学模糊-神经混沌系统

提出了一种能够理解图像含义的新型光学系统。这幅画将画家的意象瞬间转化并传达给观者。该系统可以在非相干光学的基础上，利用大规模并行光学模糊神经网络来识别几何图形。当系统将输出应用于输入和参考时，系统可以注视和追求特定的图形。在此系统中，输出图像的光强变得混沌。这种光线强度的变化代表了思维机器的特征，它的行为就像鉴赏者根据印象的变化转移他的视觉点和对图片各个部分的兴趣一样。该系统在综合印象的基础上理解图片的含义。本文给出了该系统的基本光学图，并证明了该系统能够注视和跟踪特定的人物。

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Soft Computing in Intelligent Systems and Information Processing. Proceedings of the 1996 Asian Fuzzy Systems Symposium

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