Quantitative Reconstruction of the Exterior Boundary Shape of Metallic Inclusions Using Electrical Capacitance Tomography

被引:11
|
作者
Zhang, Maomao [1 ,2 ]
Xu, Yaoyuan [3 ]
Soleimani, Manuchehr [4 ]
机构
[1] Univ Bath, Engn Tomog Lab, Bath, Avon, England
[2] Tsinghua Univ, Grad Sch, Shenzhen 518055, Peoples R China
[3] Hebei Univ Technol, Prov Minist Joint Key Lab Electromagnet Field & E, Tianjin 300401, Peoples R China
[4] Univ Bath, Engn Tomog Lab, Dept Elect & Elect Engn, Bath BA2 7AY, Avon, England
关键词
Electrical capacitance tomography; shape-based reconstruction; jacobian matrix; curvature penalty; NONLINEAR IMAGE-RECONSTRUCTION;
D O I
10.1109/JSEN.2017.2718593
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Electrical capacitance tomography (ECT) is a non-intrusive technology to image the permittivity distribution from capacitance measurements on periphery. Recent studies demonstrated that ECT can also be used to image metallic samples. A shape-based approach to reconstruct metallic inclusions quantitatively by ECT is presented, which incorporates information on the materials systematically. The formula to calculate the Jacobian is deduced with concise derivations. To deal with the problem that the traditional Tikhonov regularization method does not possess the immunity to generate deep concavities or the ability to escape from the situation, a penalty on the curvature is introduced. The penalty pushes the partial curves with deep concavities outward to gain more sensitivity. The performance of reconstructing metallic inclusions from numerical and practical measurements demonstrates the advantage of the presented algorithm in preventing deep concavities and achieving an overall approximation of the inclusions.
引用
收藏
页码:8263 / 8270
页数:8
相关论文
共 50 条
  • [1] Imaging metallic samples using electrical capacitance tomography: forward modelling and reconstruction algorithms
    Al Hosani, E.
    Zhang, M.
    Abascal, J. F. P. J.
    Soleimani, M.
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2016, 27 (11)
  • [2] Shape Reconstruction Method for Imaging Conductive Materials in Electrical Capacitance Tomography
    Deabes, Wael A.
    Abdelrahman, Mohamed
    PROCEEDINGS OF THE IECON 2016 - 42ND ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 2016, : 1055 - 1060
  • [3] Using regularization methods for image reconstruction of electrical capacitance tomography
    Peng, LH
    Merkus, H
    Scarlett, B
    PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION, 2000, 17 (03) : 96 - 104
  • [4] Image Reconstruction Using a Genetic Algorithm for Electrical Capacitance Tomography
    牟昌华
    彭黎辉
    姚丹亚
    萧德云
    Tsinghua Science and Technology, 2005, (05) : 587 - 592
  • [5] Electrical Capacitance Tomography Reconstruction Algorithm using Kalman Filter
    Zhang, Lifeng
    Li, Jia
    Tian, Pei
    2015 8TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING (CISP), 2015, : 919 - 923
  • [6] Shape based reconstruction of experimental data in 3D electrical capacitance tomography
    Banasiak, Robert
    Soleimani, Manuchehr
    NDT & E INTERNATIONAL, 2010, 43 (03) : 241 - 249
  • [7] New reconstruction algorithm for electrical capacitance tomography
    Yan, Hua
    Shao, Fuqun
    Wang, Shi
    Yi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument, 2000, 21 (04): : 353 - 356
  • [8] Reconstruction of Complex Objects in Electrical Capacitance Tomography
    Smolik, Waldemar
    IST: 2009 IEEE INTERNATIONAL WORKSHOP ON IMAGING SYSTEMS AND TECHNIQUES, 2009, : 427 - 432
  • [9] Nonlinear image reconstruction for electrical capacitance tomography using experimental data
    Soleimani, M
    Lionheart, WRB
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2005, 16 (10) : 1987 - 1996
  • [10] Direct image reconstruction for electrical capacitance tomography by using the enclosure method
    Cao, Zhang
    Xu, Lijun
    MEASUREMENT SCIENCE AND TECHNOLOGY, 2011, 22 (10)