Edge Detection of Images Based on Cloud Model Cellular Automata

被引：1

作者：

Ke, Zhang ^{[1
]}

Zhang Weihua ^{[1
]}

Yuan Jinsha ^{[1
]}

机构：

[1] N China Elect Power Univ, Dept Elect & Commun Engn, Hebei Baoding 071003, Peoples R China

来源：

Proceedings of the 27th Chinese Control Conference, Vol 4 | 2008年

关键词：

Edge Detection; Cloud Model; Cellular Automata; Multi-information Fusion; Cloud Reasoning;

D O I：

10.1109/CHICC.2008.4604887

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In order to resolve the problems of edge detection algorithm of images based on fuzzy seasoning or cellular automata, a new improved edge detection algorithm of images based on cloud model cellular automata is presented. This method uses direction information and edge order information as edge characteristic information, uses cloud model to inference these information, then gives accurate feedback information got from inference results to direction information measure and direction edge order measure, and detects edge by automatic evolution of cellular automata. Finally, experiments are put forward, this algorithm has powerful ability in exiguous edge detection, and it is a promising and applied image processing algorithm.

引用

页码：249 / 253

页数：5

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