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Image reconstruction algorithm for two-phase flow electrical capacitance tomography system

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

Research output: Contribution to journalConference articlepeer-review

Abstract

A new image reconstruction algorithm based on the genetic algorithms is proposed for two-component flow electrical capacitance system in this paper. Two times reconstructions are performed in once tomography, the first step is reconstructing the image of fewer pixel blocks and the second step is reconstructing image using genetic algorithm with the result of the first step is used in population initialization in order to improve the speed and accuracy of genetic tomography. With this method, cross-section image of two-component flow can be reconstructed with better quality and better accuracy in component concentration than SIRT algorithm.

Original languageEnglish
Pages (from-to)588-592
Number of pages5
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume4902
DOIs
StatePublished - 2002
Externally publishedYes
EventOptomechatronic Systems III - Stuttgart, Germany
Duration: 12 Nov 200214 Nov 2002

Keywords

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

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