DocumentCode
502816
Title
A novel quasi-newton image reconstruction algorithm for electrical capacitance tomography system
Author
Yu, Chen ; Fan, Sun ; Bo, Yi ; Deyun, Chen
Author_Institution
Inf. & Comput. Eng. Inst., Northeast Forestry Univ., Harbin, China
Volume
2
fYear
2009
fDate
8-9 Aug. 2009
Firstpage
89
Lastpage
93
Abstract
To solve the electrical capacitance tomography(ECT) technology ldquosoft fieldrdquo effect and pathological problem, a quasi-Newton new algorithm for electrical capacitance tomography is presented. On the basis of analyzing ECT system measurement principle, constructing corrector formula of secant approximation algorithm in second-order information items of objective functions. The feasibility of using this algorithm for ECT problems is also discussed. It shows that it is easy to meet the convergence condition and error of image reconstruction is small. Experimental results and simulation data indicate that the algorithm can provide high quality images and favorable stabilization compared with LBP and conjugate gradient algorithms and this new algorithm presents a feasible and effective way to research on image reconstruction algorithm for electrical capacitance tomography system.
Keywords
conjugate gradient methods; image reconstruction; tomography; conjugate gradient algorithms; convergence condition; electrical capacitance tomography; pathological problem; quasiNewton image reconstruction; secant approximation; second-order information; soft field effect; Capacitance measurement; Character generation; Electrical capacitance tomography; Electrodes; Image reconstruction; Iterative algorithms; Pipelines; Sensor arrays; Signal processing algorithms; Stability; Quasi-Newton; electrical capacitance tomography; image reconstruction; iterative algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Computing, Communication, Control, and Management, 2009. CCCM 2009. ISECS International Colloquium on
Conference_Location
Sanya
Print_ISBN
978-1-4244-4247-8
Type
conf
DOI
10.1109/CCCM.2009.5267974
Filename
5267974
Link To Document