Region growing on a hypercube multiprocessor

Abstract

The region growing paradigm for image segmentation groups neighboring pixels into regions depending upon a predetermined homogeneity criteria. A parallel method for region growing on an MIMD multiprocessor system is presented. Since the region growing problem exhibits non-uniform and unpredictable load fluctuations, it requires a dynamic load balancing scheme to achieve a balanced load distribution. The results of implementing a parallel region growing algorithm on the Intel-iPSC hypercube are discussed.