A nonlinear image reconstruction algorithm for electrical capacitance tomography

被引：100
|
作者：
Fang, WF [1 ]
机构：
[1] W Virginia Univ, Dept Math, Morgantown, WV 26506 USA
来源：
MEASUREMENT SCIENCE AND TECHNOLOGY | 2004年 / 15卷 / 10期
关键词：
electrical capacitance tomography; image reconstruction; inverse problem; regularization; total variation; variational formulation;
D O I：
10.1088/0957-0233/15/10/023
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
We present a total-variation-based image reconstruction algorithm for electrical capacitance tomography. This is a nonlinear iterative algorithm designed to minimize both the data error and the total variation of the permittivity, with iterations updated by the projected Gauss-Newton steps. We present numerical examples to illustrate the effectiveness of the algorithm in reconstructing permittivity images from both noise-free and noisy capacitance data.
引用
收藏
页码：2124 / 2132
页数：9
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