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

被引:30
作者
Teniou, S. [1 ]
Meribout, M. [1 ]
机构
[1] Petr Inst, Dept Elect Engn, Abu Dhabi, U Arab Emirates
关键词
Electrical capacitance tomography; Gauss-Newton (GN); Hierarchical mesh; Image reconstruction; Finite element method; NONLINEAR IMAGE-RECONSTRUCTION; ADAPTIVE MESH REFINEMENT; FLOW MEASUREMENT;
D O I
10.1016/j.measurement.2011.12.022
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
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. (C) 2012 Elsevier Ltd. All rights reserved.
引用
收藏
页码:683 / 690
页数:8
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