Fractal descriptors based on the probability dimension: a texture analysis and classification approach
arXiv:1412.7851 · doi:10.1016/j.patrec.2014.01.009
Abstract
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.
7 pages, 6 figures. arXiv admin note: text overlap with arXiv:1205.2821