[1]陈宇,夏宗基,李红波,等. 基于Broyden族校正的电容层析成像图像重建算法[J].哈尔滨理工大学学报,2019,(03):16-21.[doi:10.15938/j.jhust.2019.03.003]
 CHEN Yu,XIA Zong ji,LI Hong bo,et al. A Broyden Correction Image Reconstruction Algorithm for Electrical Capacitance Tomography System[J].哈尔滨理工大学学报,2019,(03):16-21.[doi:10.15938/j.jhust.2019.03.003]
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 基于Broyden族校正的电容层析成像图像重建算法()
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《哈尔滨理工大学学报》[ISSN:1007-2683/CN:23-1404/N]

卷:
期数:
2019年03期
页码:
16-21
栏目:
电气与电子工程
出版日期:
2019-06-24

文章信息/Info

Title:
 A Broyden Correction Image Reconstruction Algorithm for Electrical Capacitance Tomography System
文章编号:
1007-2683(2019)03-0016-06
作者:
 陈宇夏宗基李红波周雨佳
 (东北林业大学 信息与计算机工程学院, 黑龙江 哈尔滨 150040)
Author(s):
 CHEN YuXIA ZongjiLI HongboZHOU Yujia
 (College of Information and Computer Engineering, Northeast Forestry University, Harbin 150040, China)
关键词:
 电容层析成像图像重建迭代算法Broyden族校正
Keywords:
 electrical capacitance tomography image reconstruction iterative algorithm Broyden Correction
分类号:
TN911.73
DOI:
10.15938/j.jhust.2019.03.003
文献标志码:
A
摘要:
 为解决电容层析成像(ECT)图像重建中的“软场”效应和典型的病态问题,提出了一种采用Broyden族校正算法对电容层析成像系统进行图像重建的方法。基于对ECT系统基本原理的研究,推导出实现电容层析成像图像重建的Broyden族校正的数学模型,并采用归纳法分析了算法收敛性。对该算法应用于ECT上的可行性进行了探讨,该算法符合收敛条件且成像精度高。实验结果的数值表明Broyden族校正算法的重建图像效果非常理想,且成像质量优于SD、LBP、Landweber及CG算法,给ECT图像重建领域提供了一种有效的新方法。
Abstract:
 In electrical capacitance tomography technology, to solve the ‘softfield’ nature and the typical illposed problem, a Broyden Correction image reconstruction algorithm is proposed for electrical capacitance tomography system After the analysis of the basic principles of the ECT system, to solve the problem of electrical capacitance tomography system, we deduced a mathematical model of Broyden Correction algorithm and analyzed the convergence of the algorithm using the monotony of the iterative error The feasibility of this algorithm solving ECT problems is also discussed This algorithm meets the convergence condition and the error of image reconstruction is small Simulation data and experimental results indicate that this algorithm can provide favorable stabilization and high quality images compared with SD, LBP, Landweber and CG and this new algorithm provides a feasible and effective way for ECT image reconstruction field.

参考文献/References:

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备注/Memo

备注/Memo:
 收稿日期: 2017-11-08
基金项目:
中央高校基本科LBH-Z10273研业务费(2572015DY07);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;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)
作者简介:
夏宗基(1994—),男,硕士研究生;
李红波(1990—),女,硕士研究生
通信作者:
陈宇(1975—),男,博士后,副教授,E-mail:nefu_chenyu@163.com
更新日期/Last Update: 2019-06-20