DocumentCode
3310582
Title
A Novel Barzilai-Borwein Image Reconstruction Algorithm for Electrical Capacitance Tomography System
Author
Liu, Lei ; Chen, Yu ; Song, Yuchen
fYear
2010
fDate
24-25 April 2010
Firstpage
385
Lastpage
388
Abstract
To solve the electrical capacitance tomography(ECT) technology "soft field" effect and pathological problem, a new Barzilai-Borwein 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 high speed compared with LBP, Steepest Descent algorithm and Tikhonov algorithm and this new algorithm presents presents a feasible and effective way to research on image reconstruction algorithm for Electrical Capacitance Tomography System.
Keywords
Capacitance measurement; Capacitive sensors; Electrical capacitance tomography; Electrodes; Image reconstruction; Pipelines; Sensor arrays; Sensor systems; Signal processing algorithms; Stability; Barzilai-Borwein; Steepest Descent; electrical capacitance tomography; image reconstruction;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
Conference_Location
Kaifeng, China
Print_ISBN
978-1-4244-6595-8
Electronic_ISBN
978-1-4244-6596-5
Type
conf
DOI
10.1109/MVHI.2010.184
Filename
5532899
Link To Document