Fractal-JSEG: JSEG Using an Homogeneity Measurement Based on Local Fractal Descriptor
Karin Satie Komati, Evandro Ottoni Teatini Salles, Mário Sarcinelli-Filho · 2009
This paper proposes an improved version for the JSEG color image segmentation algorithm, combining the classical JSEG algorithm and a local fractal operator that measures the fractal dimension of each pixel, thus improving the boundary detection in the J-map. Experiments with natural color images of the Berkeley segmentation dataset and benchmark are presented, which show improved results in comparison with the classical JSEG algorithm.