|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(PDF)
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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1陈德运2
 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 Yu1CHEN De-yun2
 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:
 Key words:electrical capacitance tomographyimage reconstructioniterative algorithmregularizationlandweber
分类号:
TN 911. 73
DOI:
-
文献标志码:
A
摘要:
 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系统基本原理的基拙上,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。在此基拙上探讨了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、最速下降法和共扼梯度算法相比,该算法兼备成像质量高、稳定性好等优点。
Abstract:
 Abstract:To solve the‘soft-field’nature and the ill-posed problem in electrical capacitance tomography (ECT) technology,an improved Runge一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一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.
 CHEN Yu,CHEN De-yun. Improved Runge-Kutta type landweber image reconstructionalgorithm for electrical capacitance tomography system[J].,2014,18(07):107.

备注/Memo

备注/Memo:
 基金项目:中央高校基本科研业务费(DLI2CJB02);国家自然科学基金(60972127);黑龙江省教育厅科学技术研究项目(12513016);黑龙江省
博士后基金(LBH - Z10273);黑龙江省自然科学基金(F201347);哈尔滨市科技创新人才专项资金项目(2013RFQXJ100 )
更新日期/Last Update: 2015-07-18