基于方向性的多通道纹理图象分析及重构

Texture Analysis and Synthesis Based on Orientation Decomposition

纹理的各向异性特征 (方向性 )对于纹理分析有着重要意义 ,该特征的分析和描述 ,对纹理表征和图形化建模提供了重要的思路 .在对纹理各向异性特征分析的基础上 ,提出了一种新的纹理图形化建模方法 .基于各向同性和各向异性分离的思想 ,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皆证实了该方法的有效性和灵活性 ,表明能量多通道分析对于方向性纹理的表征和重构是一种行之有效的方法 .

The anisotropy features(orientation) of texture is very important for texture analysis. They provides an effectively approach to texture representation and graphical modeling. In this paper we try to introduced an new multi-channel model for texture analysis and synthesis based on analysis of these features. We give the spatial/frequency parameter description of anisotropy/isotropy features with the special distribution of Fourier transform coefficients. Based on this description a new algorithm for determine the dominant orientation of texture images is provided by mathematics method of binary scale. It is interesting that this algorithm is convenience to implement by combination of some ordinary image processing algorithm. The Image power characteristic by Fourier coefficients distribution along the dominant orientation is not completely. For the remain Image power, we use the stochastic field model to approximate them, because these power corresponding to the isotropy part of texture image. The experiment results for texture synthesis with this model and the performance comparison with other approach show that the efficiency and flexibility of this method. Our study shows the multi-channel decomposition based on orientation power will be an available method for orientation texture representation and reconstruction.