粒子滤波算法在ECT图像重建中的应用

吴新杰; 黄国兴; 王静文

doi:10.3788/OPE.20122008.1824

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粒子滤波算法在ECT图像重建中的应用

信息科学 | 更新时间：2020-08-12

- 粒子滤波算法在ECT图像重建中的应用
- Application of particle filtering algorithm to image reconstruction of ECT
- 光学精密工程 2012年20卷第8期页码：1824-1830
- 作者机构：
  
  辽宁大学物理学院,辽宁沈阳,110036
- 作者简介：
- 基金信息：
  
  辽宁省自然科学基金资助项目(No.20102082)()
- DOI：10.3788/OPE.20122008.1824
  中图分类号： TP391.4
- 收稿日期：2012-05-29，
  
  修回日期：2012-07-06，
  
  纸质出版日期：2012-08-10
- 稿件说明：
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吴新杰, 黄国兴, 王静文. 粒子滤波算法在ECT图像重建中的应用[J]. 光学精密工程, 2012,(8): 1824-1830

WU Xin-jie, HUANG Guo-xing, WANG Jing-wen. Application of particle filtering algorithm to image reconstruction of ECT[J]. Editorial Office of Optics and Precision Engineering, 2012,(8): 1824-1830
吴新杰, 黄国兴, 王静文. 粒子滤波算法在ECT图像重建中的应用[J]. 光学精密工程, 2012,(8): 1824-1830 DOI： 10.3788/OPE.20122008.1824.

WU Xin-jie, HUANG Guo-xing, WANG Jing-wen. Application of particle filtering algorithm to image reconstruction of ECT[J]. Editorial Office of Optics and Precision Engineering, 2012,(8): 1824-1830 DOI： 10.3788/OPE.20122008.1824.

摘要

针对电容层析成像技术(ECT)的图像重建质量精度较低的问题

提出了一种基于粒子滤波的ECT图像重建方法。首先

分析了ECT图像重建基本原理

以系统状态估计的方式描述了ECT图像重建最优解的搜索过程

并建立了状态空间模型。然后

以线性反投影(LBP)算法的图像重建结果作为初始状态

利用测量信息对从状态空间中获取的随机样本进行最优加权

以获得重建图像的最小方差估计。最后

对5种不同的流型进行了仿真实验。实验结果表明

利用本文方法获得的重建图像误差平均值为42.93%

Abstract

For the low accuracy of image reconstruction in Electrical Capacitance Tomography (ECT)

a image reconstruction method for the ECT was proposed based on the particle filter algorithm. Firstly

the principle of image reconstruction of the ECT was analyzed. Then

the search process of the optimal solution for image reconstruction of the ECT was described as a system state estimation process

and a state space model was established. Furthermore

to obtain the minimum variance estimation of image reconstruction

the image reconstruction result of Linear Back Projection (LBP) algorithm was taken as the initial state

and the optimal weights of random samples obtained from the state space were calculated by the measured information. Finally

the simulation experiments with five different flow regimes were performed. The experiment results show that the average image error of reconstruction results by proposed method is 42.93%

and the average correlation coefficient with the original image is 0.813 9

which is much better than corresponding indicators obtained by LBP algorithm

Landweber iterative algorithm and IMNSNOF algorithm. In conclution

the image reconstruction method with high efficiency and accuracy can provide a new way for ECT research.

关键词

Keywords

references

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