• DocumentCode
    3310582
  • Title

    A Novel Barzilai-Borwein Image Reconstruction Algorithm for Electrical Capacitance Tomography System

  • Author

    Liu, Lei ; Chen, Yu ; Song, Yuchen

  • fYear
    2010
  • fDate
    24-25 April 2010
  • Firstpage
    385
  • Lastpage
    388
  • Abstract
    To solve the electrical capacitance tomography(ECT) technology "soft field" effect and pathological problem, a new Barzilai-Borwein algorithm for electrical capacitance tomography is presented. On the basis of analyzing ECT system measurement principle, constructing corrector formula of secant approximation algorithm in second-order information items of objective functions. The feasibility of using this algorithm for ECT problems is also discussed. It shows that it is easy to meet the convergence condition and error of image reconstruction is small. Experimental results and simulation data indicate that the algorithm can provide high quality images and high speed compared with LBP, Steepest Descent algorithm and Tikhonov algorithm and this new algorithm presents presents a feasible and effective way to research on image reconstruction algorithm for Electrical Capacitance Tomography System.
  • Keywords
    Capacitance measurement; Capacitive sensors; Electrical capacitance tomography; Electrodes; Image reconstruction; Pipelines; Sensor arrays; Sensor systems; Signal processing algorithms; Stability; Barzilai-Borwein; Steepest Descent; electrical capacitance tomography; image reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Vision and Human-Machine Interface (MVHI), 2010 International Conference on
  • Conference_Location
    Kaifeng, China
  • Print_ISBN
    978-1-4244-6595-8
  • Electronic_ISBN
    978-1-4244-6596-5
  • Type

    conf

  • DOI
    10.1109/MVHI.2010.184
  • Filename
    5532899