• DocumentCode
    519391
  • Title

    A Novel Conjugate Gradient Image Reconstruction Algorithm for Electrical Capacitance Tomography System

  • Author

    Yu, Chen ; Jiye, Han ; Yuchen, Song ; Wei, Liu

  • Author_Institution
    Inf. & Comput. Eng. Inst., Northeast Forestry Univ., Harbin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    260
  • Lastpage
    264
  • Abstract
    To solve the electrical capacitance tomography(ECT) technology "soft field" effect and pathological problem, a new three conjugate gradient 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 favorable stabilization compared with LBP and conjugate gradient algorithms and this new algorithm presents a feasible and effective way to research on image reconstruction algorithm for Electrical Capacitance Tomography System.
  • Keywords
    Capacitance measurement; Character generation; Electrical capacitance tomography; Electrodes; Image reconstruction; Iterative algorithms; Pipelines; Sensor arrays; Signal processing algorithms; Stability; conjugate gradient; electrical capacitance tomography; image reconstruction; iterative algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Challenges in Environmental Science and Computer Engineering (CESCE), 2010 International Conference on
  • Conference_Location
    Wuhan, China
  • Print_ISBN
    978-0-7695-3972-0
  • Electronic_ISBN
    978-1-4244-5924-7
  • Type

    conf

  • DOI
    10.1109/CESCE.2010.12
  • Filename
    5493082