Texture image recognizing method based on ant colony algorithm

被引：0
|
作者：
Bi, XJ [1 ]
Sun, XX [1 ]
机构：
[1] Harbin Engn Univ, Sch Informat & Commun Engn 21 210, Harbin 150001, Peoples R China
来源：
PROCEEDINGS OF THE IASTED INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND APPLICATIONS | 2006年
关键词：
ant colony algorithm; clustering; texture feature; image recognition;
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 a new texture image recognizing method was proposed based on the characteristics of ant colony algorithm Such as characteristic of clustering. The effective feature function values of the texture images are proposed from the aspect of the characteristic of texture images. And these texture feature function values can be Clustered, which can recognize many texture images. The experimental results show that the new method in this paper can improve the recognizing rate of image effectively. It is an effective method in image recognizing.
引用
收藏
页码：45 / +
页数：2
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