It is important to consider the role of scale for texture analysis. In this paper

a texture detector based on 2D Gabor function and visual textural perception is established first

then based on the texture detector and wavelet theory of multiscaledecomposition

a multiscale texture analysis method is proposed

and techniques formultiscale texture feafure fusion are advanced according to the lateral inhibition andend-inhibition in neurodynamics. The multiscale texture analysis techniques give representations between spatial space and Fourier space

and provide a hierarchical analysisframe for image fexture. They can detect different scale textural features

correspondsto the visual texture perception

and have the ability to recognize textureimage effectively.