基于异步元胞自动机的图像处理与识别

IF 0.7 4区工程技术 Q4 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE

Advances in Electrical and Computer Engineering Pub Date : 2021-01-01 DOI:10.4018/978-1-7998-2649-1.ch007

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引用次数: 0

摘要

本章讨论了异步元胞自动机在图像处理和识别中的应用。描述了一种时间脉冲图像描述方法。提出了用于传输主动信号的元胞自动机的各种模型和结构。图形的图像被二值化，并且一个活动信号沿着其边缘移动。在每一时刻，异步元胞自动机的活动单元产生一个脉冲信号。所产生的脉冲序列的形状描述了平面图形的几何形状。提出了描述单个平面图形图像的方法，以及描述由许多独立几何对象组成的图像的方法。元胞自动机被认为是人眼视网膜的类似物。给出了这种异步元胞自动机的单元电路结构，并对所提出的方法进行了软件实现。方法允许对单个几何图像对象进行分类。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Processing and Recognition of Images Based on Asynchronous Cellular Automata

This chapter discusses the use of asynchronous cellular automata with controlled movement of active cells for image processing and recognition. A time-pulsed image description method is described. Various models and structures of cellular automata for transmitting active signals are presented. The image of the figure is binarized and an active signal moves along its edges. At every moment in time, the active cell of an asynchronous cellular automaton generates a pulse signal. The shape of the generated pulse sequence describes the geometric shape of a flat figure. Methods for describing images of individual plane figures, as well as a method for describing images consisting of many separate geometric objects, are proposed. Cellular automaton is considered as an analogue of the retina of the human visual canal. The circuitry structures of cells of such asynchronous cellular automata are presented, and the software implementation of the proposed methods is also performed. Methods allow one to classify individual geometric image objects.

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来源期刊

Advances in Electrical and Computer Engineering 工程技术-工程：电子与电气

CiteScore

1.80

自引率

12.50%

发文量

审稿时长

24 months

期刊介绍： The principal aim of the journal is to bring together the latest research and development in various fields of science and technology such as computers science, artificial intelligence, pattern recognition, knowledge engineering, process control theory and applications, distributed systems and computer networks, electronics, communications, data transmission, software engineering, energy converters, control of electric drive systems, non-conventional energy conversion, sensors, transducers modeling and design, electro-physics, and nanotechnology.