Fractal descriptors based on the probability dimension: A texture analysis and classification approach

Joao Batista Florindo and Odemir Martinez Bruno

PATTERN RECOGNITION LETTERS, 42():107-114, 2014

In this work, we propose a novel technique for obtaining descriptors of gray-level texture images. The descriptors are provided by applying a multiscale transform to the fractal dimension of the image estimated through the probability (Voss) method. The effectiveness of the descriptors is verified in a classification task using benchmark over texture datasets. The results obtained demonstrate the efficiency of the proposed method as a tool for the description and discrimination of texture images. (C) 2014 Published by Elsevier B.V.