一种纹理特征融合分类算法

基金项目: 国家973计划资助项目(2003CB415205);国家自然科学基金资助项目(40471088405230051)

详细信息

A Texture Classification Algorithm Based on Feature Fusion

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

Funds: 国家973计划资助项目(2003CB415205);国家自然科学基金资助项目(40471088405230051)

摘要: 分别利用多通道Gabor滤波器和马尔可夫随机场模型对纹理图像进行分析,得到两组特征影像。将上述两组特征影像进行融合,最后利用融合后的数据实现图像的分类。实验证明,基于上述方法的纹理特征融合分类算法大大提高了图像的分类精度。
- Gabor滤波器 /
- 马尔可夫随机场模型 /
- 纹理分类 /
- 特征融合
Abstract: A feasible texture classification algorithm is proposed based on Gabor/MRF feature fusion.The performance of the algorithm is investigated with Brodatz and QuickBird images.The fused Gabor/MRF features can provide higher classification accuracy than either Gabor or MRF features alone.The experimental results indicate that the proposed algorithm is stable,reliable and efficient.
- Gabor filter /
- MRF models /
- texture classification /
- feature fusion