Edge detection of images based on fuzzy cellular automata

被引：4
|
作者：
Zhang, Ke [1 ]
Li, Zhong [1 ]
Zhao, Xiao-Ou [2 ]
机构：
[1] N China Elect Power Univ, Dept Elect & Commun Engn, Hebei Baoding 071003, Peoples R China
[2] Agr Univ Hebei, CN-071000 Hebei Baoding, Peoples R China
来源：
SNPD 2007: EIGHTH ACIS INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING, ARTIFICIAL INTELLIGENCE, NETWORKING, AND PARALLEL/DISTRIBUTED COMPUTING, VOL 2, PROCEEDINGS | 2007年
关键词：
edge detection; cellular automata; direction; information measure; edge order measure; fuzzy algorithm; anti-fuzzy;
D O I：
10.1109/SNPD.2007.167
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
A new improved edge detection algorithm of images based on cellular automata is presented. This method uses direction information measure and edge order measure as edge characteristic information, uses fuzzy logic to inference these information, processes inference results by anti-fuzzy, gives feedback information to direction information measure matrix, and detects edge by automatic evolution of cellular automata. Finally, experiments are put forward, this algorithm has powerful ability in detection fuzzy edge and exiguous edge, and it is a promising and applied image processing algorithm.
引用
收藏
页码：289 / +
页数：2
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