Using regularization methods for image reconstruction of electrical capacitance tomography

被引：12
|
作者：
Peng, LH [1 ]
Merkus, H
Scarlett, B
机构：
[1] Tsing Hua Univ, Dept Automat, Measurement Technol & Elect Grp, Beijing 100084, Peoples R China
[2] Delft Univ Technol, Dept Chem Engn, Particle Technol Grp, NL-2628 BL Delft, Netherlands
来源：
PARTICLE & PARTICLE SYSTEMS CHARACTERIZATION | 2000年 / 17卷 / 03期
关键词：
D O I：
10.1002/1521-4117(200010)17:3<96::AID-PPSC96>3.0.CO;2-8
中图分类号：
O64 [物理化学（理论化学）、化学物理学];
学科分类号：
070304 ; 081704 ;
摘要：
Image reconstruction of electrical capacitance tomography (ECT) is a typical inverse problem owing to non-linearity and ill-posedness. At the same time, progress towards the solution of this kind of problem has been made at good speed as a branch of mathematics in the past three decades. In this paper, most of the regularization tools developed for the inverse problem are applied to the reconstruction of various simulated images by ECT. The results show promise for ECT image reconstruction by regularization methods. The non-linearity of the sensitivity matrix seems to be the major problem.
引用
收藏
页码：96 / 104
页数：9
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