A new hierarchical reconstruction algorithm for electrical capacitance tomography using a relaxation region-based approach

► We developed an electrical capacitance tomography image reconstruction algorithm. ► The algorithm consists to confine progressively the regions of interest. ► We compared the performance of this algorithm over a regular reconstruction method. ► The image reconstruction is significantly accelerated...

Full description

Saved in:
Bibliographic Details
Published in:Measurement : journal of the International Measurement Confederation 2012-05, Vol.45 (4), p.683-690
Main Authors: Teniou, S., Meribout, M.
Format: Article
Language:English
Subjects:
Algorithms
Arrays
Capacitance
Electrical capacitance tomography
Electrodes
Finite element method
Gauss–Newton (GN)
Hierarchical mesh
Image reconstruction
Pipe
Reconstruction
Tomography
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:► We developed an electrical capacitance tomography image reconstruction algorithm. ► The algorithm consists to confine progressively the regions of interest. ► We compared the performance of this algorithm over a regular reconstruction method. ► The image reconstruction is significantly accelerated and the resolution is enhanced. This paper presents a new two-dimensional tomography algorithm to reconstruct the internal image of a multiphase fluid passing through a section of a pipe. The embedded sensing module consists of an array of electrodes placed around the pipe to measure all possible combinations of capacitances between these electrodes. The algorithm is hierarchical and consists to confine progressively the regions of interest which hold the inhomogeneous phase by refining the finite element mesh size around their boundaries. Experimental results done on various images clearly indicate that the proposed algorithm improves the quality of the reconstructed images while keeping the computation time significantly lower than other traditional methods.
ISSN:0263-2241
1873-412X
DOI:10.1016/j.measurement.2011.12.022