A multi-scale image reconstruction algorithm for electrical capacitance tomography
文献类型:期刊论文
作者 | Lei, Jing1; Liu, Shi1; Li, Zhihong1; Sun, Meng2; Wang, Xueyao2 |
刊名 | APPLIED MATHEMATICAL MODELLING
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出版日期 | 2011-06-01 |
卷号 | 35期号:6页码:2585-2606 |
关键词 | Electrical capacitance tomography Multi-scale image reconstruction Tikhonov regularization method Wavelet analysis Total least squares estimation Homotopy method |
英文摘要 | Electrical capacitance tomography (ECT) is considered as a promising process tomography (PT) technology, and its successful applications depend mainly on the precision and speed of the image reconstruction algorithms. In this paper, based on the wavelet multi-scale analysis method, an efficient image reconstruction algorithm is presented. The original inverse problem is decomposed into a sequence of inverse problems, which are solved successively from the largest scale to the smallest scale. At different scales, the inverse problem is solved by a generalized regularized total least squares (TLS) method, which is developed using a combinational minimax estimation method and an extended stabilizing functional, until the solution of the original inverse problem is found. The homotopy algorithm is employed to solve the objective functional. The proposed algorithm is tested by the noise-free capacitance data and the noise-contaminated capacitance data, and excellent numerical performances and satisfactory results are observed. In the cases considered in this paper, the reconstruction results show remarkable improvement in the accuracy. The spatial resolution of the reconstructed images by the proposed algorithm is enhanced and the artifacts in the reconstructed images can be eliminated effectively. As a result, a promising algorithm is introduced for ECT image reconstruction. (C) 2010 Elsevier Inc. All rights reserved. |
WOS标题词 | Science & Technology ; Technology ; Physical Sciences |
类目[WOS] | Engineering, Multidisciplinary ; Mathematics, Interdisciplinary Applications ; Mechanics |
研究领域[WOS] | Engineering ; Mathematics ; Mechanics |
关键词[WOS] | NEURAL-NETWORK ; FLOW MEASUREMENT ; FLUIDIZED-BEDS ; 2-PHASE ; SOLIDS ; REGULARIZATION ; ITERATION ; SYSTEM ; ECT |
收录类别 | SCI |
语种 | 英语 |
WOS记录号 | WOS:000288829200001 |
公开日期 | 2015-12-22 |
源URL | [http://ir.etp.ac.cn/handle/311046/106554] ![]() |
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, Minist Educ, Key Lab Condit Monitoring & Control Power Plant E, Beijing 102206, Peoples R China 2.Chinese Acad Sci, Inst Engn Thermophys, Beijing 100190, Peoples R China |
推荐引用方式 GB/T 7714 | Lei, Jing,Liu, Shi,Li, Zhihong,et al. A multi-scale image reconstruction algorithm for electrical capacitance tomography[J]. APPLIED MATHEMATICAL MODELLING,2011,35(6):2585-2606. |
APA | Lei, Jing,Liu, Shi,Li, Zhihong,Sun, Meng,&Wang, Xueyao.(2011).A multi-scale image reconstruction algorithm for electrical capacitance tomography.APPLIED MATHEMATICAL MODELLING,35(6),2585-2606. |
MLA | Lei, Jing,et al."A multi-scale image reconstruction algorithm for electrical capacitance tomography".APPLIED MATHEMATICAL MODELLING 35.6(2011):2585-2606. |
入库方式: OAI收割
来源:工程热物理研究所
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