Rough set based image texture recognition algorithm

被引：0
|
作者：
Zheng, Z [1 ]
Hu, H
Shi, ZZ
机构：
[1] Chinese Acad Sci, Inst Comp Technol, Key Lab Intelligent Informat Proc, Beijing, Peoples R China
[2] Chinese Acad Sci, Grad Sch, Beijing, Peoples R China
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 1, PROCEEDINGS | 2004年 / 3213卷
关键词：
rough set; approximate space; image texture;
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：
Rough set theory is emerging as a new tool for dealing with fuzzy and uncertain data. In recent years, it has been successfully applied in such fields as machine learning, data mining, knowledge acquiring, etc. In this paper, rough set theory is applied to image texture recognition. Based on rough set and generalized approximate space, we develop a rough set based image texture recognition algorithm. We compare it with some other algorithms and the results show that our algorithm is effective and efficient.
引用
收藏
页码：772 / 778
页数：7
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