基于Tree Augmented Naive Bayes Classifier的影像纹理分类

基金项目: 国家自然科学基金资助项目(40271094,40571102)

详细信息

Texture Classification Based on Tree Augmented Naive Bayes Classifier

¹ School of Remote Sensing and Information Engineering,Wuhan University,129 Luoyu Road,Wuhan 430079,China ;² State Key Laboratory for Information Engineering in Surveying,Mapping and Remote Sensing, Wuhan University,129 Luoyu Road,Wuhan 430079,China

Funds: 国家自然科学基金资助项目(40271094,40571102)

摘要: 提出了一种松弛方法,允许类别节点下的相邻子节点之间存在相关关系(有向边),这种方法称为树增强型简单贝叶斯分类器(tree augmented naive Bayes classifier,TAN)。实验结果表明,TAN比简单贝叶斯分类器(naive Bayes classifier,NBC)可以获得更高的分类精度。
- 贝叶斯网络 /
- 纹理分类 /
- 影像
Abstract: On the basis of the study of naive Bayes classifiers (NBC),a new method— tree augmented naive Bayes classifier is proposed and applied to texture classification.The experiment results demonstrate that the new method performs better in overall classification precision than NBC.
- Bayesian network /
- texture classification /
- image