A Simplified Gravitational Model for Texture Analysis

Textures are among the most important features in the field of image analysis. This paper presents an innovative methodology to extract information from them, converting an image into a simplified dynamical system in gravitational collapse process whose collapsing states are described by using the lacunarity method. The paper compares the proposed approach to other classical methods using Brodatz textures and a second texture database as benchmark. The best classification results using the standard parameters of the method were 97.00 % and 54.10 % of success rate (percentage of samples correctly classified) for both databases, respectively. These results prove that the presented approach is an efficient tool for texture analysis.