基于Brushlet复特征的纹理分类

Texture Classification Using Complex Feature of Brushlet

Brushlet是一种新的图像方向信息分析工具,其能量特征已被应用于纹理分割、分类以及去噪等领域。该文利用Brushlet变换为复函数这一特性,提取其能量及相位信息作为纹理分类特征。通过对Brodatz纹理图像库中均匀、非均匀以及全部图像进行分类实验,较之单一能量特征的分类方法,Brushlet复特征取得了更好的分类性能。

Brushlet is a novel tool for image orientation analysis, whose energy feature is adopted in texture segmentation, image classification and denoising. In this paper, the property of Brushlet is used： the transform is a complex value function with a phase, the energy and phase information are adopted as a fused feature for texture classification. Experiments on homogeneous, inhomogeneous images and total Brodatz texture alblum prove that the complex feature of Brushlet outperforms the method based on single energy.