计量学报2017，Vol.38Issue(3)：315-318,4.DOI:10.3969/j.issn.1000-1158.2017.03.14
Kalman滤波在电容层析成像图像重建中的应用
Application of Kalman Filter for Image Reconstruction of Electrical Capacitance Tomography
摘要
Abstract
Kalman filter was applied to improve the quality of reconstructed images for electrical capacitance tomography(ECT) by updating the measurement information.The initial values of reconstruction image gray and estimation of the error variance matrix needed to be determined during the process of Kalman filter.To study the influence of initial values on the quality of reconstructed image,three flow patterns were selected for simulation experiments and then the optimal initial values were obtained.At the same time,static tests were carried out using ECT device.Experimental results showed that the reconstructed images which are more close to the real distributions can be obtained based on Kalman filter algorithm using the optimal initial values compared with Landweber algorithm.关键词
计量学/电容层析成像/图像重建算法/Kalman滤波Key words
metrology/electrical capacitance tomography/image reconstruction algorithm/Kalman filter分类
通用工业技术引用本文复制引用
张立峰,李佳,田沛..Kalman滤波在电容层析成像图像重建中的应用[J].计量学报,2017,38(3):315-318,4.基金项目
国家自然科学基金(51306058) （51306058）
中央高校基本科研业务费专项(2014MS142) （2014MS142）
