Parallel c-means algorithm for image segmentation on a reconfigurable mesh computer

Authors:
Omar Bouattane;Bouchaib Cherradi;Mohamed Youssfi;Mohamed O. Bensalah
Affiliations:
E.N.S.E.T, Bd Hassan II, BP 159, Mohammedia, Morocco;Faculté des Sciences et Technique, Bd Hassan II, Mohammedia, Morocco;Faculté des Sciences, Université Mohamed V Agdal, Rabat, Morocco;Faculté des Sciences, Université Mohamed V Agdal, Rabat, Morocco
Venue:
Parallel Computing
Year:
2011

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Abstract

In this paper, we propose a parallel algorithm for data classification, and its application for Magnetic Resonance Images (MRI) segmentation. The studied classification method is the well-known c-means method. The use of the parallel architecture in the classification domain is introduced in order to improve the complexities of the corresponding algorithms, so that they will be considered as a pre-processing procedure. The proposed algorithm is assigned to be implemented on a parallel machine, which is the reconfigurable mesh computer (RMC). The image of size (mxn) to be processed must be stored on the RMC of the same size, one pixel per processing element (PE).