A New Image Reconstruction Algorithm for Electrical Capacitance Tomography

DOI

10.2991/jcis.2008.114How to use a DOI?

Keywords

Electrical capacitance tomography; RBF; Adaptive genetic algorithm; Tikhonov regularization; Image reconstruction

Abstract

In view of low precision of the reconstructed image of Electrical Capacitance Tomography (ECT) at present, a new image reconstruction method based on RBF neural network for Electrical Capacitance Tomography is proposed. Adaptive genetic algorithm is used to optimize the centers and widths of hidden layer of RBF network and Tikhonov regularization method is used to train the weights of RBF network. The simulation results for 12-electrode electrical capacitance tomography system illustrate that this method can improve the quality of reconstruction image obviously, testify the effectiveness of the proposed method.

Copyright

© 2008, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Yan Li
AU  - Peiquan Bao
AU  - Peng Cui
AU  - Li Feng
AU  - Liyong Zhang
PY  - 2008/12
DA  - 2008/12
TI  - A New Image Reconstruction Algorithm for Electrical Capacitance Tomography
BT  - Proceedings of the 11th Joint Conference on Information Sciences (JCIS 2008)
PB  - Atlantis Press
SP  - 678
EP  - 683
SN  - 1951-6851
UR  - https://doi.org/10.2991/jcis.2008.114
DO  - 10.2991/jcis.2008.114
ID  - Li2008/12
ER  -