DocumentCode :
3513091
Title :
PDE-Based Parallel Deformable Registration on a Dual Core Cluster
Author :
Jiang Murong ; Lin, Chen ; Zhou Jun ; Chen Lin ; Chang Baoji
Author_Institution :
Dept. of Comput. Sci. & Eng., Yunnan Univ., Kunming
fYear :
2008
fDate :
1-3 Nov. 2008
Firstpage :
663
Lastpage :
666
Abstract :
Most numerical approaches for image registration with PDE method are based on the computing over the pixel matrices. As the image size increases, more time consuming is needed. Then, one of the most efficient solving methods is parallel computing. In this paper, we discuss the parallel deformable registration computing carried on the cluster. First, we present the diffusion PDE model to describe the registration problem, detail the sequential adaptive parameter computing method for searching the weight parameter correspond to the local degrees of variability in the match, then perform the parallel implementation on a 4 nodes cluster disposed by WCCS. Some experimental results show that this method can produce the large size parallel image registration and reduce the computation complexity.
Keywords :
computational complexity; image registration; matrix algebra; multiprocessing systems; parallel processing; partial differential equations; WCCS; computation complexity; diffusion partial differential equation model; dual core cluster; numerical approaches; parallel deformable registration computing; parallel image registration; pixel matrices; sequential adaptive parameter computing method; Computer networks; Computer science; Concurrent computing; Deformable models; Image registration; Intelligent networks; Intelligent systems; Parallel processing; Partial differential equations; Smoothing methods; PDE model; adaptive parameter computing; cluster; paralle deformable registration;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Networks and Intelligent Systems, 2008. ICINIS '08. First International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-0-7695-3391-9
Electronic_ISBN :
978-0-7695-3391-9
Type :
conf
DOI :
10.1109/ICINIS.2008.131
Filename :
4683313
Link To Document :
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