首页 | 官方网站   微博 | 高级检索  
     

基于纹理特征的道路图像分类
引用本文:赵楠,王朝.基于纹理特征的道路图像分类[J].数字社区&智能家居,2009(24).
作者姓名:赵楠  王朝
作者单位:北京师范大学信息科学与技术学院;
摘    要:该文提出一种新的道路分类方法,在灰度共生矩阵的基础上得到图像的纹理特征,并通过决策树模型得到道路图像分类的决策树。实验证明,该方法有着较高的准确率,其结果在分类方面有着简单易行的特点。

关 键 词:道路分类  灰度共生矩阵  纹理特征  决策树  

Road Image Classification Based on Texture Feature
ZHAO Nan,WANG Chao.Road Image Classification Based on Texture Feature[J].Digital Community & Smart Home,2009(24).
Authors:ZHAO Nan  WANG Chao
Affiliation:Beijing Normal University College of Information Science and Technology;Beijing 100875;China
Abstract:The article proposed a new algorithm for road classification. Based on gray level co-occurrence matrix, we got the features of an image. Then the decision tree was gained using the Decision Tree Model. Theoretical calculations are found to be consistent, and easy to be used.
Keywords:road classification  co-occurrence matrix  texture feature  decision tree  
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号