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.