Energy representation based multiscale approach to image texture

It is important to consider the role of scale for texture analysis since its a multiscale attribute of image texture. A textural detector based on the 2D Gabor function and visual textural perception is established first. Then, based on the textural detector and the theory of time-scale space decomposition-a general class extending wavelet transform, an energy distribution based multiscale texture analysis method is proposed. The multiscale texture analysis gives textural energy representation between the spatial space and scale space, and provides a hierarchical analysis framework for the image texture. They can detect different scale texture features, correspond to the visual texture perception, and have the ability to recognize texture image effectively.