Fractal Measures of Complex Networks Applied to Texture Analysis

This work proposes a novel technique for the extraction of descriptors of a texture image. The method consists in modeling the image through a complex network, based on the distribution of gray-level intensities. Therefore, we process the adjacency matrix as a geometrical object and compute its fractal dimension. Thus we apply a multiscale transform over the power-law fractal curve, obtaining the descriptors of the image. The method is tested in a classification task with a comparison to other classical texture descriptors.