Texture Segmentation using Multiscale Hurst Features

Lance M. Kaplan, Romain Murenzi

Abstract: We evaluate the effectiveness of multiscale Hurst parameters as features for texture segmentation. These extended Hurst features quantize texture roughness at various scales. The performance of these new features are compared against standard Hurst features using images of texture mosaics. For the experiments, the performance was evaluated with and without supplemental contrast and average grayscale features.