第20卷第8期 2012年8月
文章编号
1004-924X(2012)08-1824-07
光学精密工程
Optics and Precision Engineering
Vol.20No.8
Aug.2012
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
（辽宁大学物理学院，辽宁沈阳110036）
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
SNOF算法得到的相应指标要好。本文方法是一种有效、精度较高的ECT图像重建方法，为ECT图像重建技术提供了新的途径和手段。
关键词：电容层析成像；粒子滤波；围像重建；图像误差；相关系数
中图分类号：TP391.4
文献标识码：A
doi;10.3788/OPE.20122008,1824
Applicationofparticlefilteringalgorithmto
imagereconstructionofECT
WU Xin-jie', HUANG Guo-xing, WANG Jing-wen
(CollegeofPhysics，LiaoningUniversity，Shenyang110036，China）
*Correspondingauthor,E-mail.wurinjie@Inu.edu.cn
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. First-ly, 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 esti-mation of image reconstruction, the image reconstruction result of Linear Back Projection (LBP) algo rithm 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 al-gorithm, Landweber iterative algorithm and IMNSNOF algorithm. In conclution,the image recon
收稿日期：2012-05-29；修订日期：2012-07-06.
基金项目：辽宁省自然科学基金资助项目（No.20102082）