title: High performance bio-image database retrieval using MPI.
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.
authors.affiliation: Department of Computer Science, Georgia State University, P.O. Box 3994, Atlanta, GA 30302-3994, USA. cscyxlx@cs.gsu.edu
authors.forename: Yong
authors.initials: Y
authors.lastname: Li
authors.forename: Xiujuan
authors.initials: X
authors.lastname: Chen
authors.forename: Saeid
authors.initials: S
authors.lastname: Belkasim
authors.forename: Yi
authors.initials: Y
authors.lastname: Pan
mesh_terms: D000465:Algorithms; D003628:Database Management Systems; D016208:Databases, Factual; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D016347:Medical Records Systems, Computerized; D011873:Radiology Information Systems