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World Congress on Industrial Process Tomography, Aizu, Japan Full shape reconstruction from partial ERT monotonicity information
 

Summary: 4
th
World Congress on Industrial Process Tomography, Aizu, Japan
Full shape reconstruction from partial ERT monotonicity information
using a Bayes-MCMC approach
Robert G Aykroyd
1
, Manuchehr Soleimani2
and William RB Lionheart
2
1
Department of Statistics, University of Leeds, Leeds, LS2 9JT, UK, robert@maths.leeds.ac.uk,
2
Department of Mathematic, University of Manchester, Manchester, M60 1QD, UK
ABSTRACT
Many applications of tomography seek to image two-phase materials, such as oil and air, with the idealized
aim of producing a binary reconstruction. The method of Tamburrino et al. (2002) provides a non-iterative
approach, which requires modest computational effort, and hence appears to achieve this aim. Specifically, it
requires the solution of a number of forward problems increasing only linearly with the number of elements
used to discretize the unknown domain. However, even for error-free data the method only gives a definitive

  

Source: Aykroyd, Robert G. - Department of Statistics, University of Leeds

 

Collections: Mathematics