一种改进牛顿-拉夫逊ERT绝对图像重建算法
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  • 英文篇名:A Modified Newton-Raphson Absolute Image Reconstruction Algorithm for ERT
  • 作者:肖理庆
  • 英文作者:Xiao Liqing;School of Electrical Engineering and Automation,Tianjin University;Department of Information and Electrical Engineering,Xuzhou Institute of Technology;
  • 关键词:电阻层析成像 ; 绝对图像重建 ; 灵敏度矩阵 ; 阈值 ; 图像相对误差
  • 英文关键词:electrical resistance tomography;;absolute image reconstruction;;sensitivity matrix;;threshold;;relative image error
  • 中文刊名:TJDX
  • 英文刊名:Journal of Tianjin University(Science and Technology)
  • 机构:天津大学电气与自动化工程学院;徐州工程学院信电工程学院;
  • 出版日期:2014-05-16 08:34
  • 出版单位:天津大学学报(自然科学与工程技术版)
  • 年:2015
  • 期:v.48;No.291
  • 基金:国家自然科学基金资助项目(61201350,61302122);; 徐州工程学院校科研资助项目(XKY2013318)
  • 语种:中文;
  • 页:TJDX201508012
  • 页数:8
  • CN:08
  • ISSN:12-1127/N
  • 分类号:76-83
摘要
为了提高电阻层析成像重建图像分辨率,提出一种改进牛顿-拉夫逊绝对图像重建算法.在算法迭代过程中,采取灵敏度矩阵自动更新的策略,同时结合图像重建结果自动选取阈值,并根据阈值修正电阻率.仿真实验结果表明:相比单纯采用灵敏度矩阵自动更新策略的改进牛顿-拉夫逊算法,在无噪声干扰下,新算法图像相对误差平均降低了35.620%,在1%幅度噪声干扰下,新算法图像相对误差平均降低了31.962%,在实现绝对图像重建的同时,有效提高了图像重建质量.
        A modified Newton-Raphson absolute image reconstruction algorithm was proposed to improve the space resolution of the reconstructed image in electrical resistance tomography(ERT). In the iteration process,the sensitivity matrix was updated automatically;meanwhile,the resistivity was corrected according to a threshold determined by referring to the reconstruction result. Simulation experimental results demonstrate that compared to the modified Newton-Raphson method with sensitivity matrix updating,the proposed method reduces the relative image error by 35.620% in the noise-free case. With the existence of 1% noise,the proposed method reduces the relative image error by 31.962%. The proposed method enhances the imaging quality effectively while realizing absolute image reconstruction.
引文
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