|本期目录/Table of Contents|

[1]陈宇,陈德运. 基于改进Runge-Kutta 型landweber 的电容层析成像图像重建算法[J].电机与控制学报,2014,18(07):107-112.
 CHEN Yu,CHEN De-yun. Improved Runge-Kutta type landweber image reconstructionalgorithm for electrical capacitance tomography system[J].,2014,18(07):107-112.
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 基于改进Runge-Kutta 型landweber 的电容层
析成像图像重建算法
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《电机与控制学报》[ISSN:1007-449X/CN:23-1 408/TM]

卷:
18
期数:
2014年07
页码:
107-112
栏目:
出版日期:
2014-07-23

文章信息/Info

Title:
 Improved Runge-Kutta type landweber image reconstruction
algorithm for electrical capacitance tomography system
作者:
 陈宇 陈德运
 1. 东北林业大学信息与计算机工程学院,黑龙江哈尔滨150040;
2. 哈尔滨理工大学计算机科学与技术学院,黑龙江哈尔滨150080
Author(s):
 CHEN Yu CHEN De-yun
 1. College of Information and Computer Engineering,Northeast Forestry University,Harbin 150040,China;
2. School of Computer Science and Technology,Harbin University of Science and Technology,Harbin 150080,China
关键词:
 电容层析成像 图像重建 迭代算法 正则化 landweber
Keywords:
 electrical capacitance tomography image reconstruction iterative algorithm regularizationlandweber
分类号:
-
DOI:
-
文献标志码:
A
摘要:
 针对电容层析成像( ECT) 技术中的“软场”效应和病态问题,提出了一种改进的Runge -
Kutta 型landweber 的电容层析成像算法。在分析ECT 系统基本原理的基础上,推导出了解决电容
层析成像问题的改进Runge - Kutta 型landweber 算法的数学模型,并采用迭代误差的单调性对算
法的收敛性进行了分析。在此基础上探讨了ECT 应用该算法的可行性,算法满足收敛条件且重建
图像误差小。仿真和实验结果表明,该算法和LBP、landweber、最速下降法和共轭梯度算法相比,该
算法兼备成像质量高、稳定性好等优点。
Abstract:
 To solve the‘soft-field’nature and the ill-posed problem in electrical capacitance tomography
( ECT) technology,an improved Runge-Kutta type landweber image reconstruction algorithm for electrical
capacitance tomography was presented. On analysis of the basic principles of the ECT system,mathematical
model of improved Runge-Kutta the type landweber algorithm was deduced to solve the problem of
electrical capacitance tomography,and the convergence of the algorithm by the monotony of the iterative
error was analyzed. The feasibility of using this algorithm for ECT problems was also discussed. It shows
that it is easy to meet the convergence condition and error of image reconstruction is small. Experimental
results and simulation data indicate that the algorithm can provide high quality images and favorable stabilization
compared with linear back projection( LBP) ,landweber,steepest descent( SD) and conjugate
gradient( CG) algorithms and this new algorithm is feasible and effective

参考文献/References:

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[12]陈宇,陈德运. 基于改进Runge-Kutta型landweber的电容层析成像图像重建算法[J].电机与控制学报,2014,18(07):107.
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备注/Memo

备注/Memo:
更新日期/Last Update: 2014-11-30