Regularization Parameter Optimum Based on Quasi-Optimum Criterion for Image Reconstruction of Electrical Capacitance Tomography

Author

Li, Cuihuan ; Wang, Youhua ; Geng, Duyan ; Yang, Xiaoguang ; Shen, Xueqin

Author_Institution

Province-Minist. Joint Key Lab. of Electromagn. Field & Electr. Apparatus Reliability, Hebei Univ. of Technol., Tianjin, China

fYear

2012

fDate

19-21 June 2012

Firstpage

1

Lastpage

4

Abstract

Electrical Capacitance Tomography (ECT) image reconstruction is an ill-posed problem, and Tikhonov regularization is widely employed to get the stable solution. Correctly selecting regularization parameter is crucial for image reconstruction, which affects both quality and speed of image reconstruction. In this paper, a method of selecting optimum parameter based on quasi-optimum criterion is proposed. Simulation results show that the reconstruction image quality is improved markedly by using the proposed method.

Keywords

capacitance measurement; computerised instrumentation; image reconstruction; image sensors; ECT image reconstruction; Tikhonov regularization; capacitive sensing mechanism; electrical capacitance tomography image reconstruction; quasioptimum criterion; Capacitance; Capacitance measurement; Electrical capacitance tomography; Electrodes; Equations; Image reconstruction; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Electromagnetic Field Problems and Applications (ICEF), 2012 Sixth International Conference on

Conference_Location

Dalian, Liaoning

Print_ISBN

978-1-4673-1333-9

Type

conf

DOI

10.1109/ICEF.2012.6310395

Filename

6310395