Cluster-based Parallelization of Multi-Scale Active Shape Description Process

S.S. Kadam (India)


Cluster Computing, Pipeline Processing, Parallel Com puter Vision, Temporal Multiplexing, Medical Imaging


In this paper, we discuss parallelization of a high-level computer vision application in medical imaging, namely, multi-scale active shape description of MR (magnetic reso nance) brain images of epileptic patients using active con tour models, on a cluster of workstations. The paper gives a comparative study and analysis of three different ap proaches of parallel implementation using corresponding parallel computing patterns such as Temporal Multiplex ing, Pipeline, and Composite Pipeline. The outcome of the cluster-based parallel implementations has shown encour aging results.

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