Cellular automata for edge detection of images

被引:0
|
作者
Chang, CL [1 ]
Zhang, YJ [1 ]
Gdong, YY [1 ]
机构
[1] Dalian Maritime Univ, Dept Math, Dalian 116026, Peoples R China
关键词
cellular automata; edge detection; orientation information measure;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cellular automata are discrete dynamical systems whose function is completely specified in terms of local relation. Guided by a suitable recipe, they can simulate a whole hierarchy of structures and phenomena. In this paper, a new method called cellular automata edge detection model is presented to extract the edge of the image. In this model, the information orientation method is used to deal with the gray scale matrix of the image, a new kind of neighborhood of cellular automata is defined, and then a suitable local rule of the cellular automata is designed. Cellular automata edge detection model can extract the edge of the image without people participating in the course. Meanwhile, it is a new attempt at the cellular automata model using on the image processing.
引用
收藏
页码:3830 / 3834
页数:5
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