Title :
Research on Parallel Policy of Image Reconstruction of Electrical Capacitance Tomography System
Author :
Lili, Wang ; Jing, Zhou ; Deyun, Chen
Author_Institution :
Coll. of Comput. Sci. & Technol., Harbin Univ. of Sci. & Technol., Harbin, China
Abstract :
Image reconstruction is a key to electrical capacitance tomography system. In this paper, basic principle and image construction problem of ECT system is analyzed, and BP neural network is adopted to solve image reconstruction. To accelerate reconstruction, BP neural network is divided into several parts, and each part will be sent to different slave nodes on which Globus platform is installed. After every part is computed in slave nodes, the results will be sent to the master node and a frame of reconstruction image is reorganized. The results show that this method adopted is feasible, and it has the advantages of high precise, speediness.
Keywords :
backpropagation; computerised tomography; image reconstruction; neural nets; BP neural network; ECT system; Globus platform; electrical capacitance tomography system; image reconstruction; parallel policy; Capacitance measurement; Electrical capacitance tomography; Electrodes; Equations; Image reconstruction; Neural networks; Permittivity measurement; Phase measurement; Pipelines; Transducers; BP nerual network; ECT; Globus; image reconstruction;
Conference_Titel :
Intelligent Information Technology Application, 2009. IITA 2009. Third International Symposium on
Conference_Location :
Nanchang
Print_ISBN :
978-0-7695-3859-4
DOI :
10.1109/IITA.2009.55
