• DocumentCode
    501833
  • Title

    Study on Image Reconstruction Algorithm for Electrical Capacitance Tomography System

  • Author

    Yao, Chen ; Xiaowei, Wang ; Jiangyan

  • Author_Institution
    Inf. Eng. Coll., Shenyang Univ., Shenyang, China
  • Volume
    2
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    480
  • Lastpage
    483
  • Abstract
    The capacitance sensor features non-intrusive, rapid dynamic response, low cost, wide measuring range and easy mounting, so it is suitable for application in industries. The speediness and accuracy of image reconstruction algorithm in electrical capacitance tomography are essential. This paper presents a high-speed method for electrical capacitance tomography based on the Landweber iteration method. Landweber iteration method is simple and flexible with very good regularizing features. But it converges too slowly. The weakness is overcome by the high-speed iteration method, which can reduce iteration times and maintain the reconstruction quality.
  • Keywords
    capacitive sensors; feature extraction; image reconstruction; iterative methods; tomography; Landweber iteration method; capacitance sensor; electrical capacitance tomography system; feature extraction; image reconstruction algorithm; Capacitive sensors; Capacitors; Costs; Electrical capacitance tomography; Electrodes; Image reconstruction; Image sensors; Permittivity; Sensor arrays; Sensor systems; Convergence rate; ECT image; Landweber iteration method; Reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-0-7695-3745-0
  • Type

    conf

  • DOI
    10.1109/HIS.2009.213
  • Filename
    5254511