Multifractal texture analysis and classification

Existing fractal methods of texture analysis rely on the fractal dimension of textures as a function of scale for their discrimination and classification. We propose a method which is based on the possible multiscaling/multifractality of textures. A stochastic model is suggested to represent this multiscaling behaviour. We demonstrate the value of the method on a number of similar data sets (hence quite difficult for their discrimination) from the high-resolution Brodatz album.