Evolutionary cellular automata based-approach for edge detection

被引：0
|
作者：
Slatnia, Sihem [1 ]
Batouche, Mohamed [2 ]
Melkemi, Kamal E. [1 ]
机构：
[1] Univ Biskra, Dept Comp Sci, Biskra 07000, Algeria
[2] King Saud Univ, Coll Comp & Informat Sci, Dept Comp Sci, Riyadh, Saudi Arabia
来源：
APPLICATIONS OF FUZZY SETS THEORY | 2007年 / 4578卷
关键词：
genetic algorithms; evolutionary cellular automata; edge detection;
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：
We use an evolutionary process to seek a specialized powerful rule of Cellular Automata (CA) among a set of best rules for extracting edges in a given black-white image. This best set of local rules determines the future state of CA in an asynchronous way. The Genetic Algorithm (GA) is applied to search the best CA rules that can realize better the edge detection.
引用
收藏
页码：404 / +
页数：2
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