  Fractal analysis has been shown to be useful in image processing for
characterizing shape and gray-scale complexity. The fractal feature is a
compact descriptor used to give a numerical measure of the degree of
irregularity of the medical images. This descriptor property does not give
ownership of the local image structure. In this paper, we present a combination
of this parameter based on Box Counting with GLCM Features. This powerful
combination has proved good results especially in classification of medical
texture from MRI and CT Scan images of trabecular bone. This method has the
potential to improve clinical diagnostics tests for osteoporosis pathologies.
