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Image reconstruction algorithm based on genetic algorithms for capacitance tomography

  • Mingsong Sun*
  • , Deyun Chen
  • , Guibin Zheng
  • , Xiaoyang Yu
  • *Corresponding author for this work
  • Harbin University of Science and Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The application of finite element method in electrical capacitance tomography is discussed, and a finite element model of 8-electrode capacitance sensor is established. A new image reconstruction algorithm based on the genetic algorithms is proposed for capacitance tomography system. With this algorithm being adopted, section image of two-component flow can be reconstructed with better accuracy at a higher speed by using the capacitance sensitivity distributions of optimally designed system as a priori information, and the accurate proportion of different component can be attained in the mean time.

Original languageEnglish
Title of host publicationProceedings of the Second International Symposium on Instrumentation Science and Technology
EditorsT. Jiubin, W. Xianfang, T. Jiubin, W. Xianfang
Pages3/862-3/866
StatePublished - 2002
Externally publishedYes
EventProceedings of the second International Symposium on Instrumentation Science and Technology - Jinan, China
Duration: 18 Aug 200222 Aug 2002

Publication series

NameProceedings of the Second International Symposium on Instrumentation Science and Technology
Volume3

Conference

ConferenceProceedings of the second International Symposium on Instrumentation Science and Technology
Country/TerritoryChina
CityJinan
Period18/08/0222/08/02

Keywords

  • Different component
  • Electrical capacitance tomography
  • Genetic algorithms
  • Image reconstruction
  • Two-component flow

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