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Application of the generalized vector sampled pattern matching method to reconstruction of electrical capacitance CT images

Masahiro Takei1 and Yoshifuru Saito2

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A new reconstruction method called generalized vector sampled pattern matching (GVSPM) has been applied to an ill-posed inverse problem involving electrical capacitance computed tomography for solid–air two-phase flow. This new method is able to achieve stable convergence without the use of an empirical value. This accurate reconstruction is accomplished using an objective function that is calculated as the inner product calculation between the experimental capacitance and the reconstructed image capacitance. The GVSPM method is compared with the conventional Landweber (LW) and iterative Tikhonov regularization (ITR) methods in terms of capacitance residual, image error and image correlation. Overall, the accuracy is strongly dependent upon the image type and the iteration number, however the GVSPM method proved superior to the LW and the ITR methods in the case of annular pseudo particle images.


PACS

42.30.Sy Pattern recognition

47.55.Kf Multiphase and particle-laden flows

42.30.Wb Image reconstruction; tomography

02.30.Zz Inverse problems

Subjects

Fluid dynamics

Mathematical physics

Optics, quantum optics and lasers

Dates

Issue 7 (July 2004)

Received 14 December 2003

Published 16 June 2004



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