A filtering approach of iterative Tikhonov regularization method in ECT

Seong Hun Lee; Seon Bong Lee; Yong Sung Kim; Ji Hoon Kim; Bong Yeol Choi; Kyung Youn Kim

doi:10.1109/ICSENS.2007.355616

A filtering approach of iterative Tikhonov regularization method in ECT

Seong Hun Lee, Seon Bong Lee, Yong Sung Kim, Ji Hoon Kim, Bong Yeol Choi, Kyung Youn Kim

School of Electronics Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Electrical capacitance tomography (ECT) is a non-invasive imaging reconstruction technique to visualize cross-sectional permittivity distribution of dielectric objects inside a domain, which is based on the measured capacitance on the electrodes mounted on the periphery. Numerous iterative image reconstruction methods have been developed to accelerate convergence rate and to enhance the quality of the reconstructed image. In this paper, a modified iterative Tikhonov regularization method is proposed to obtain faster convergence rate. The propose algorithm employs a filter which can control reconstruction performance. Extensive computer simulations are provided to verify the improved reconstruction performance of the proposed algorithm.

Original language	English
Title of host publication	2006 5th IEEE Conference on Sensors
Pages	919-922
Number of pages	4
DOIs	https://doi.org/10.1109/ICSENS.2007.355616
State	Published - 2006
Event	2006 5th IEEE Conference on Sensors - Daegu, Korea, Republic of Duration: 22 Oct 2006 → 25 Oct 2006

Publication series

Name	Proceedings of IEEE Sensors

Conference

Conference	2006 5th IEEE Conference on Sensors
Country/Territory	Korea, Republic of
City	Daegu
Period	22/10/06 → 25/10/06

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10.1109/ICSENS.2007.355616

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title = "A filtering approach of iterative Tikhonov regularization method in ECT",

abstract = "Electrical capacitance tomography (ECT) is a non-invasive imaging reconstruction technique to visualize cross-sectional permittivity distribution of dielectric objects inside a domain, which is based on the measured capacitance on the electrodes mounted on the periphery. Numerous iterative image reconstruction methods have been developed to accelerate convergence rate and to enhance the quality of the reconstructed image. In this paper, a modified iterative Tikhonov regularization method is proposed to obtain faster convergence rate. The propose algorithm employs a filter which can control reconstruction performance. Extensive computer simulations are provided to verify the improved reconstruction performance of the proposed algorithm.",

author = "Lee, {Seong Hun} and Lee, {Seon Bong} and Kim, {Yong Sung} and Kim, {Ji Hoon} and Choi, {Bong Yeol} and Kim, {Kyung Youn}",

year = "2006",

doi = "10.1109/ICSENS.2007.355616",

language = "English",

isbn = "1424403766",

series = "Proceedings of IEEE Sensors",

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note = "2006 5th IEEE Conference on Sensors ; Conference date: 22-10-2006 Through 25-10-2006",

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T1 - A filtering approach of iterative Tikhonov regularization method in ECT

AU - Lee, Seong Hun

AU - Lee, Seon Bong

AU - Kim, Yong Sung

AU - Kim, Ji Hoon

AU - Choi, Bong Yeol

AU - Kim, Kyung Youn

PY - 2006

Y1 - 2006

N2 - Electrical capacitance tomography (ECT) is a non-invasive imaging reconstruction technique to visualize cross-sectional permittivity distribution of dielectric objects inside a domain, which is based on the measured capacitance on the electrodes mounted on the periphery. Numerous iterative image reconstruction methods have been developed to accelerate convergence rate and to enhance the quality of the reconstructed image. In this paper, a modified iterative Tikhonov regularization method is proposed to obtain faster convergence rate. The propose algorithm employs a filter which can control reconstruction performance. Extensive computer simulations are provided to verify the improved reconstruction performance of the proposed algorithm.

AB - Electrical capacitance tomography (ECT) is a non-invasive imaging reconstruction technique to visualize cross-sectional permittivity distribution of dielectric objects inside a domain, which is based on the measured capacitance on the electrodes mounted on the periphery. Numerous iterative image reconstruction methods have been developed to accelerate convergence rate and to enhance the quality of the reconstructed image. In this paper, a modified iterative Tikhonov regularization method is proposed to obtain faster convergence rate. The propose algorithm employs a filter which can control reconstruction performance. Extensive computer simulations are provided to verify the improved reconstruction performance of the proposed algorithm.

UR - http://www.scopus.com/inward/record.url?scp=50149095801&partnerID=8YFLogxK

U2 - 10.1109/ICSENS.2007.355616

DO - 10.1109/ICSENS.2007.355616

M3 - Conference contribution

AN - SCOPUS:50149095801

SN - 1424403766

SN - 9781424403769

T3 - Proceedings of IEEE Sensors

SP - 919

EP - 922

BT - 2006 5th IEEE Conference on Sensors

T2 - 2006 5th IEEE Conference on Sensors

Y2 - 22 October 2006 through 25 October 2006

ER -

A filtering approach of iterative Tikhonov regularization method in ECT

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