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Naji, M. |
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Motta, Antonella |
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Aletan, Dirar |
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Mohamed, Tarek |
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Ertürk, Emre |
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Taccardi, Nicola |
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Kononenko, Denys |
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Petrov, R. H. | Madrid |
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Alshaaer, Mazen | Brussels |
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Bih, L. |
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Casati, R. |
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Muller, Hermance |
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Kočí, Jan | Prague |
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Šuljagić, Marija |
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Kalteremidou, Kalliopi-Artemi | Brussels |
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Azam, Siraj |
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Ospanova, Alyiya |
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Blanpain, Bart |
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Ali, M. A. |
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Popa, V. |
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Rančić, M. |
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Ollier, Nadège |
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Azevedo, Nuno Monteiro |
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Landes, Michael |
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Rignanese, Gian-Marco |
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Soleimani, Manuchehr
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Topics
Publications (13/13 displayed)
- 2022Laboratory Investigation of Tomography-Controlled Continuous Steel Castingcitations
- 2021Interior Void Classification in Liquid Metal using Multi-Frequency Magnetic Induction Tomography with a Machine Learning Approachcitations
- 2020Magnetic Induction Tomography Spectroscopy for Structural and Functional Characterization in Metallic Materialscitations
- 2018Real-time control of the mould flow in a model of continuous casting in frame of the TOMOCON project
- 2017A novel metal flow imaging using electrical capacitance tomographycitations
- 2017Planar array capacitance imaging sensor design optimisationcitations
- 2011Crack detection in dielectric objects using electrical capacitance tomography imagingcitations
- 2010Crack detection in dielectric objects using electrical capacitance tomography
- 2010Three-dimensional nonlinear inversion of electrical capacitance tomography data using a complete sensor modelcitations
- 2010Helmholtz-type regularization method for permittivity reconstruction using experimental phantom data of ECTcitations
- 2009Four-dimensional electrical capacitance tomography imaging using experimental datacitations
- 2006A three-dimensional inverse finite-element method applied to experimental eddy-current imaging datacitations
- 2005Nonlinear image reconstruction for electrical capacitance tomography using experimental datacitations
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article
Nonlinear image reconstruction for electrical capacitance tomography using experimental data
Abstract
Electrical capacitance tomography (ECT) attempts to image the permittivity distribution of an object by measuring the electrical capacitances between sets of electrodes placed around its periphery. Image reconstruction in ECT is a nonlinear and ill-posed inverse problem. Although reconstruction techniques based on a linear approximation are fast, they are not adequate for all cases. In this paper, we study the nonlinearity of the inverse permittivity problem of ECT. A regularized Gauss-Newton scheme has been implemented for nonlinear image reconstruction. The forward problem has been solved at each iteration using the finite element method and the Jacobian matrix is recalculated using an efficient adjoint field method. Regularization techniques are required to overcome the ill-posedness: smooth generalized Tikhonov regularization for the smoothly varying case, and total variation (TV) regularization when there is a sharp transition of the permittivity have been used. The reconstruction results for experimental ECT data demonstrate the advantage of TV regularization for jump changes, and show improvement of the image quality by using nonlinear reconstruction methods. © 2005 IOP Publishing Ltd.