一种纹理特征融合分类算法
A Texture Classification Algorithm Based on Feature Fusion
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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。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.
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