Electronic Science and Technology ›› 2020, Vol. 33 ›› Issue (11): 41-45.doi: 10.16180/j.cnki.issn1007-7820.2020.11.008

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Comparison of Image Reconstruction Algorithms of Electrical Capacitance Tomography

ZHU Guangquan1,YANG Haima1,LI Jun1,YANG Ping2   

  1. 1. School of Optical-Electrical and Computer Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China
    2. Shanghai Aerospace Equipments Manufacturer Co.,Ltd.,Shanghai 200245,China
  • Received:2019-08-30 Online:2020-11-15 Published:2020-11-27
  • Supported by:
    Shanghai Natural Science Foundation(17ZR1443500);Shanghai Aerospace Science and Technology Innovation Fund(SAST2017-062);Baoshan District Science and Technology Innovation Special Fund(17-C-21)


Image reconstruction algorithm plays a vital role in the practical application of electrical capacitance tomography. For the research of image reconstruction algorithm, the LBP, SVD, ART, Landweber algorithm and Tikhonov regularization algorithm are compared in this study. Four kinds of multiphase flow patterns are simulated based on MATLAB simulation platform, and the effects of reconstructed images are compared in three aspects: image error, correlation coefficient and calculation time. The analysis results show that the image reconstruction speed of the direct algorithm is better than the iterative algorithm, while the image reconstruction quality is worse than the iterative algorithm.

Key words: electrical capacitance tomography, image reconstruction, correlation coefficient, MATLAB, image error, algorithm comparison

CLC Number: 

  • TP391