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Total variation regularization algorithm for electrical capacitance tomography

  • Huaxiang Wang*
  • , Lei Tang
  • , Yong Yan
  • *Corresponding author for this work
  • Tianjin University

Research output: Contribution to journalArticlepeer-review

Abstract

To solve the ill-posed problem in electrical capacitance tomography (ECT), a new image reconstruction algorithm based on total variation (TV) regularization is proposed. Compared with conventional L Tikhonov regularization, this algorithm (based on L regularization) not only stabilizes the reconstruction, but also enhances the resolution of the reconstruction image in areas with discontinuous medium distribution. It possesses good edge-preserving property. Both simulation and experimental results show that this algorithm has advantages in terms of resolution and real-time performance.

Original languageEnglish
Pages (from-to)2014-2018
Number of pages5
JournalYi Qi Yi Biao Xue Bao/Chinese Journal of Scientific Instrument
Volume28
Issue number11
StatePublished - Nov 2007
Externally publishedYes

Keywords

  • Edge-preserving property
  • Electrical capacitance tomography
  • Image reconstruction algorithm
  • Tikhonov regularization
  • Total variation

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