首页 | 本学科首页   官方微博 | 高级检索  
     

基于快速投影LANDWEBER法的电容层析成像图像重建算法研究
引用本文:董向元,陈琪,李惊涛,蔡斌,阎润生,王海刚,刘石. 基于快速投影LANDWEBER法的电容层析成像图像重建算法研究[J]. 中国电机工程学报, 2005, 25(14): 89-92
作者姓名:董向元  陈琪  李惊涛  蔡斌  阎润生  王海刚  刘石
作者单位:1. 中国科学院工程热物理研究所,北京市,海淀区,100080
2. 北京交通大学机电学院,北京市,海淀区,100044
3. 重庆大学数理学院,重庆市,沙坪坝区,400044
基金项目:国家自然科学基金项目(50276062).
摘    要:提出一种新的基于快速投影Landweber法的ECT图像重建算法。算法采用两部分迭代,初期采用预置矩阵加速迭代,该矩阵通过优化步长广义逆预迭代得到;后期采用常规投影Landweber法稳定迭代。探讨了ECT应用该算法的收敛条件,该算法易满足收敛条件且预置矩阵参数选取简单。仿真和实验结果表明,与LBP、OIOR、投影Landweber算法相比,该算法兼备收敛稳定性好及收敛速度快等优点。

关 键 词:热能动力工程 图像重建 投影Landweber法 电容层析成像 迭代算法 广义逆
文章编号:0258-8013(2005)14-0089-04
收稿时间:2005-01-28
修稿时间:2005-01-28

A FAST PROJECTED-LANDWEBER METHOD FOR IMAGE RECONSTRUCTION FOR ECT
DONG Xiang-yuan,CHEN Qi,LI Jing-tao,Cai Bin,YAN Run-sheng,WANG Hai-Gang,LIU Shi. A FAST PROJECTED-LANDWEBER METHOD FOR IMAGE RECONSTRUCTION FOR ECT[J]. Proceedings of the CSEE, 2005, 25(14): 89-92
Authors:DONG Xiang-yuan  CHEN Qi  LI Jing-tao  Cai Bin  YAN Run-sheng  WANG Hai-Gang  LIU Shi
Abstract:A novel fast projected-Landweber algorithm for electrical capacitance tomography is presented. The first part of the scheme uses the preconditioning matrix to accelerate the iterative process, and the second part maintains the algorithm stable by projected-Landweber algorithm. The preconditioning matrix is calculated by an iterative algorithm for generalized inverse, and an optimized step length function is incorporated into the prior-iterative scheme. The convergence condition for ECT problems is also discussed. It shows that it is easy to meet the convergence condition and convenient to choose the parameters of the preconditioning matrix.Experimental results and simulation data indicate that the algorithm can provide high quality images with less reconstruction time compared with LBP, OIOR and projected-Landweber algorithms.
Keywords:Thermal power engineering   Image reconstruction    Projected-Landweber algorithm    Electrical Capacitance tomography    Iterative algorithm   Generalized inverse
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号