A Case Study Demonstrating Automatic Interpretation and Optimization of Regularization for Electrical Resistance Tomography

Robert M West1, Henri S Tapp2, D Mark Spink3, Mark A Bennett1 and Richard A Williams1

1 Centre for Particle and Colloid Engineering, School of Process, Environmental and Process Engineering, University of Leeds, Leeds, LS2 9JT, UK

2 Institute of Food Research, Norwich Research Park, Colney, Norwich, NR4 7UA, UK

3 Department of Electronic and Electrical Engineering, University of Leeds, LS2 9JT, UK Email: r.m.west@leeds.ac.uk

ABSTRACT

Single-step reconstruction of electrical resistance tomograms can have speed advantages. Key to obtaining good information from the tomograms is the regularization method used in reconstruction. Automation of image interpretation is another key step. A case study is presented that demonstrates the automation of interpretation followed by optimization of the regularization.

Keywords Electrical resistance tomography, Reconstruction, Regularization