Title :
A Novel Image Reconstruction Algorithm for Electrical Capacitance Tomography
Author_Institution :
Sch. of Civil Eng., Henan Polytech. Univ., Jiao Zuo, China
Abstract :
A novel image reconstruction algorithm for Electrical Capacitance Tomography(ECT) is presented. According to the characteristic of the inverse problems of ECT the minimum norm solution is improved on the basis of analyzing the algorithm, and the stabilization of the numerical solution is proved via singular value decomposition principle. At the base of that, a new objective function is established, during of solving the function regularization technique is employed to ensure the stabilization of numerical solution. Numerical experiments indicate that the algorithm is effective, as for the considered reconstruction objects in the paper, the quality of the reconstructed image using the improved algorithm is better than the projected Land Weber iteration (PLI) algorithm.
Keywords :
image reconstruction; inverse problems; iterative methods; singular value decomposition; tomography; electrical capacitance tomography; function regularization technique; image reconstruction algorithm; inverse problem; objective function; objects reconstruction; projected Landweber iteration algorithm; singular value decomposition principle; Algorithm design and analysis; Capacitance; Capacitance measurement; Electrical capacitance tomography; Image reconstruction; Inverse problems; Mathematical model; Electrical capacitance tomography(ECT); Image reconstruction; Inverse problems; Minimum norm solution;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-8333-4
DOI :
10.1109/ISDEA.2010.240