基于各向异性分离的纹理图象分析及重构

纹理的各向异性特征（方向性）对于纹理分析有重要意义，基于各向同性和各向异性分离的思想，提出了一种用于方向性纹理分析和综合的多通道模型。分别从频域和空域研究了纹理图象的方向性及非方向性特征，导出了确定纹理主控方向的有效计算方法和残余图象的随机场模型逼近，并将分析所得的参数用于纹理的综合。实验结果和性能分析与比较证实了该方法的有效性和灵活性。

Texture analysis and Synthesis based on Anisotropic decomposition

The anisotropic features (orientation) of texture is very important for texture analysis. In this paper we introduced a new multi-channel model for texture analysis and synthesis based on the idea of isotropic and anisotropy power decomposition. We give the algorithm to determine the dominant orientation of the texture and to approximate the remain image with stochastic model. The experiment results for texture synthesis with this model and the performance comparison with her approach show the efficiency and flexibility of this method.