Application of optimized Tikhonov iterative algorithm for electrical capacitance tomography

被引：0
|
作者：
Gao H. [1 ]
Xu C. [1 ]
Wang S. [1 ]
机构：
[1] School of Energy and Environment, Southeast University
来源：
Dongnan Daxue Xuebao (Ziran Kexue Ban)/Journal of Southeast University (Natural Science Edition) | 2010年 / 40卷 / 03期
关键词：
Electrical capacitance tomography; Image reconstruction; Regularization; Singular value; Tikhonov iterative algorithm;
D O I：
10.3969/j.issn.1001-0505.2010.03.018
中图分类号：
学科分类号：
摘要：
To improve the velocity and quality of the electrical capacitance tomography(ECT), the Tikhonov iterative algorithm is proposed to be used in the ECT. The decision of the regularization coefficient is the difficulty of the Tikhonov iterative algorithm. Based on the analysis of the regularization function, the method of singular value decomposition (SVD) to the sensitivity field is proposed. The maximal singular value of the sensitivity field is used as the regularization coefficient to achieve the stable convergence of the algorithm; meanwhile, to improve the convergence velocity, a gray value calculated by LBP(linear back projection) is used as the original value of the iterative algorithm. The results indicate that the regularization coefficient has higher stability and convergence velocity; the Tikhonov iterative algorithm can obtain faster and better reconstructed images compared with the Landweber iterative algorithm.
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收藏
页码：527 / 532
页数：5
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