Sensitivity map generation in electrical capacitance tomography using mixed normalization models

Yong Sung Kim, Seong Hun Lee, Umer Zeeshan Ijaz, Kyung Youn Kim, Bong Yeol Choi

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

This work is concerned with the generation of sensitivity maps in electrical capacitance tomography based on the concepts of electrical field centre lines. Electrical capacitance tomography systems are normalized at the upper and lower permittivity values for image reconstruction. Conventional normalization assumes the distribution of materials in parallel and results in normalized capacitance as a linear function of measured capacitance. A recent approach is the usage of a series sensor model which results in normalized capacitance as a nonlinear function of measured capacitance. In this study different forms of normalizations are combined with sensitivity maps based on electrical field centre lines and it is shown that a mix of two normalization models improves the reconstruction performance.

Original languageEnglish
Article number040
Pages (from-to)2092-2102
Number of pages11
JournalMeasurement Science and Technology
Volume18
Issue number7
DOIs
StatePublished - 1 Jul 2007

Keywords

  • Adaptive model
  • Electrical capacitance tomography
  • Sensitivity map
  • Thresholding model

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