Texture edge detection using genetic algorithms

被引：0
|
作者：
Yoshimura, M [1 ]
Oe, S [1 ]
机构：
[1] Univ Tokushima, Fac Engn, Dept Informat Sci & Intelligent Syst, Tokushima 7708506, Japan
来源：
CISST'98: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY | 1998年
关键词：
texture image; edge detection; genetic algorithms;
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：
In this paper we formulate the edge detection of the image composed of different kinds of texture fields as a combinatorial optimization and propose the texture edge defection method using genetic algorithms. The proposed edge detection method consists of two parts, which are the search of the candidate edge sequence according to the edge probability of the small regions and the combinatorial optimization of the candidate edge sequence using genetic algorithms. The advantage of this method lies in the quite simple tactics for the combinatorial optimization of the candidate edge sequence and the processing time is considerably slashed in. comparison with the previous texture segmentation method using genetic algorithms.
引用
收藏
页码：169 / 174
页数：4
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