• DocumentCode
    2344430
  • Title

    Fast image reconstruction algorithm for electrical capacitance tomography

  • Author

    Xiangyuan, Dong ; Shuqing, Guo ; Hailong, Yu

  • Author_Institution
    Sch. of Energy & Environ., Zhongyuan Univ. of Technol., Zhengzhou
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    3753
  • Lastpage
    3756
  • Abstract
    Electrical capacitance tomography (ECT) is one of process tomography technique which developed rapidly in recent years. The successful application of ECT depends heavily on the image reconstruction speed and quality. A fast iterative reconstruction scheme for electrical capacitance tomography based on the Landweber method was developed. The convergence condition for the new method was discussed. Simulated data were analyzed to evaluate the performance of the method. The effectiveness of the algorithm in reconstructing permittivity images from measured capacitance data was shown. The results indicate that it can produce similar quality images with less reconstruction time when compared to the Landweber iteration algorithm. The new technique can be easily applied to online visualization.
  • Keywords
    capacitance measurement; convergence of numerical methods; image reconstruction; iterative methods; tomography; ECT; Landweber method; convergence condition; electrical capacitance tomography; image reconstruction algorithm; iterative algorithm; Analytical models; Capacitance measurement; Convergence; Data analysis; Electrical capacitance tomography; Image reconstruction; Iterative algorithms; Iterative methods; Performance analysis; Permittivity; Landweber algorithm; capacitance tomography; convergence rate; image reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138905
  • Filename
    5138905