High performance bio-image database retrieval using MPI

Authors:
Yong Li;Xiujuan Chen;Saeid Belkasim;Yi Pan
Affiliations:
Department of Computer Science, Georgia State University, P.O. Box 3994, Atlanta, 30302-3994 GA, USA.;Department of Computer Science, Georgia State University, P.O. Box 3994, Atlanta, 30302-3994 GA, USA.;Department of Computer Science, Georgia State University, P.O. Box 3994, Atlanta, 30302-3994 GA, USA.;Department of Computer Science, Georgia State University, P.O. Box 3994, Atlanta, 30302-3994 GA, USA
Venue:
International Journal of Bioinformatics Research and Applications
Year:
2008

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Abstract

Fast and accurate 3D object reconstruction and partial 3D component retrieval from 2D image slices represent a difficult and challenging problem. To group related objects on different layers in an image stack, image segmentation and sequential matching of adjacent 2D objects have to be preformed. Object matching involves heavy computing and is time consuming. In this paper, we propose a new approach for parallel implementation of object contour matching and partial 3D component retrieval based on image contour structure. The method has been implemented in MPI on a SGI Origin 2000 machine. The experimental results show a good speedup for sequential object matching and partial 3D component retrieval.