Generalised multi-scale image reconstruction algorithm for electrical capacitance tomography

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	Generalised multi-scale image reconstruction algorithm for electrical capacitance tomography
	Lei, J.1; Liu, S.1; Wang, X. Y.2
刊名	IMAGING SCIENCE JOURNAL
	2011-06-01
卷号	59 期号:3 页码:134-153
关键词	electrical capacitance tomography semiparametric model wavelet analysis homotopy method harmony search algorithm particle collision algorithm
英文摘要	Successful applications of electrical capacitance tomography (ECT) depend mainly on the precision and speed of the image reconstruction algorithms. In this paper, based on the wavelet multi-scale analysis method, a generalised multi-scale model of considering the inaccuracy of the capacitance data and reconstruction model is proposed, in which the original inverse problem is decomposed into a sequence of inverse problems based on the scale variables and then solved successively from the largest scale to the smallest scale until the solution of the original inverse problem is found. A generalised multi-scale objective functional, which has been developed using the least trimmed squares (LTS) estimation and theM-estimation, is proposed. This objective functional unifies the regularised LTS estimation, the regularised M-estimations, the regularised least squares (LS) estimation, the regularised combinational estimation of the LTS estimation and the M-estimations, the regularised combinational estimation of the LS estimation and the M-estimations into a concise formulation. An efficient solver, which integrates the beneficial advantages of the homotopy algorithm, the harmony search (HS) algorithm that has been developed using the multi-harmony techniques based on the cooperation of solutions, and the particle collision (PC) algorithm, is designed for searching a possible global optimal solution. The proposed algorithm is tested by six typical reconstruction objects using a 12-electrode square sensor. Numerical results show the efficiency and superiority of the proposed algorithm in solving ECT image reconstruction problem. In the cases considered in this paper, good results that show great improvement in the spatial resolution and accuracy are observed. The spatial resolution of the reconstructed images by the proposed algorithm is enhanced and the artefacts in the reconstructed images can be eliminated effectively. Meanwhile, the reconstructed results derived from the noise-contaminated capacitance data indicate that the proposed algorithm is successful in dealing with the inaccurate property in the capacitance data.
WOS标题词	Science & Technology ; Technology
类目[WOS]	Imaging Science & Photographic Technology
研究领域[WOS]	Imaging Science & Photographic Technology
关键词[WOS]	FLOW MEASUREMENT ; FLUIDIZED-BEDS ; OPTIMIZATION ; SOLIDS ; 2-PHASE ; SENSORS ; DESIGN ; SYSTEM ; MODEL ; ECT
收录类别	SCI
语种	英语
WOS记录号	WOS:000291785300002
公开日期	2015-12-22
内容类型	期刊论文
源URL	[http://ir.etp.ac.cn/handle/311046/106544]
专题	工程热物理研究所_中国科学院工程热物理所（论文库）_期刊论文（SCI）
作者单位	1.N China Elect Power Univ, Key Lab Power Syst Protect & Dynam Secur Monitori, Minist Educ, Beijing 102206, Peoples R China 2.Chinese Acad Sci, Inst Engn Thermophys, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Lei, J.,Liu, S.,Wang, X. Y.. Generalised multi-scale image reconstruction algorithm for electrical capacitance tomography[J]. IMAGING SCIENCE JOURNAL,2011,59(3):134-153.
APA	Lei, J.,Liu, S.,&Wang, X. Y..(2011).Generalised multi-scale image reconstruction algorithm for electrical capacitance tomography.IMAGING SCIENCE JOURNAL,59(3),134-153.
MLA	Lei, J.,et al."Generalised multi-scale image reconstruction algorithm for electrical capacitance tomography".IMAGING SCIENCE JOURNAL 59.3(2011):134-153.