Multiwindowed approach to the optimum estimation of the local fractal dimension for natural image segmentation

We propose a multiwindowed approach to the estimation of a local fractal-dimension map as an image feature for a natural image segmentation. The fractal dimension is estimated by the blanket method by using the optimum number of blankets. The local fractal-dimension map is created for a natural image using several sizes of windows which are selected by fuzzy set theory. We also propose an image segmentation algorithm that combines a rough and an accurate segmentation by integrating different features into the region growing algorithm. The effectiveness of the multiwindowed approach and the proposed segmentation algorithm are confirmed through computer simulations.