Region growing on a hypercube multiprocessor

Authors:
M. Willebeek-LeMair;A. P. Reeves
Affiliations:
School of Electrical Engineering, Cornell University, Ithaca, New York;Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, Illinois
Venue:
C3P Proceedings of the third conference on Hypercube concurrent computers and applications - Volume 2
Year:
1989

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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.