Fractal modelling in image texture analysis

A fractal analysis procedure for the processing of visual textures is investigated. The method uses second-order spatial statistics to calculate the rate of change of a local estimate of the fractal dimension over different scales and orientations. Possible deficiencies caused by aliasing within a known technique are examined, together with the performance of a modified version which incorporates appropriate filtering. Results with the modified technique show that it is able to test the validity of the fractal model for real visual textures.