A New Image Reconstruction Algorithm for Electrical Capacitance Tomography
Yan Li1, Peiquan Bao, Peng Cui, Li Feng, Liyong Zhang
1Harbin University of Science and Technology
Available Online December 2008.
- 10.2991/jcis.2008.114How to use a DOI?
- Electrical capacitance tomography; RBF; Adaptive genetic algorithm; Tikhonov regularization; Image reconstruction
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.
- © 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/).
Cite this article
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 -