Parametric modelling in industrial process tomography

Robert M. West, X. Jia, R. A. Williams

Research output: Chapter in Book/Report/Conference proceedingConference contribution

10 Citations (Scopus)

Abstract

Pixel-based tomography has been used with great success for medical applications where it is most appropriate but this approach does not always transfer easily to industrial applications. For example pixel-based image reconstruction from electrical impedance tomography measurements is well known to be an ill- posed problem and with high noise levels such tomograms cannot be reliable. An alternative approach is to use a parametric representation of the tomogram for which reconstruction can be better posed. The primary reason for parametric modelling however is interpretation. This paper compares parametric modelling to other methods and then gives an example of the method for an application to a hydrocyclone. Two tomographic modalities are discussed and the results from parametric modelling are validated. This example demonstrates the great power achievable from a parametric modelling approach to tomographic imaging of industrial processes.

Original languageEnglish
Title of host publication1st World Congress on Industrial Process Tomography
PublisherInternational Society for Industrial Process Tomography
Pages444-450
Number of pages7
ISBN (Electronic)9780853163176
Publication statusPublished - 1999
Event1st World Congress in Industrial Process Tomography 1999 - Buxton, United Kingdom
Duration: 14 Apr 199917 Apr 1999

Conference

Conference1st World Congress in Industrial Process Tomography 1999
CountryUnited Kingdom
CityBuxton
Period14/04/9917/04/99

Keywords

  • Hydrocyclone
  • Image reconstruction
  • Interpretation

ASJC Scopus subject areas

  • Computational Mechanics
  • Control and Systems Engineering
  • Computer Science Applications
  • Computer Vision and Pattern Recognition

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  • Cite this

    West, R. M., Jia, X., & Williams, R. A. (1999). Parametric modelling in industrial process tomography. In 1st World Congress on Industrial Process Tomography (pp. 444-450). International Society for Industrial Process Tomography. http://www.isipt.org/world-congress/1/70.html