传感技术学报2025，Vol.38Issue(9)：1615-1623,9.DOI:10.3969/j.issn.1004-1699.2025.09.010
基于降维处理Wiener矩阵的EIT图像重建
EIT Image Reconstruction Based on Dimension-Reduction Wiener Matrix
摘要
Abstract
In order to implement large-area tactile sensing on robotic surfaces,EIT imaging system with 32 electrodes is designed based on electrical impedance tomography(EIT).Firstly,Wiener filter matrix is introduced to suppress noise in EIT imaging system with 32 elec-trodes and obtain an initial reconstruction image.In order to further improve the image reconstruction quality and alleviate the ill-posedn-ess problem,Wiener matrix image reconstruction algorithm based on dimension-reduction is proposed.The conductivity values in the back-ground region of an initial reconstruction image are considered as known quantities"0"which are removed from the conductivity vector to be calculated.It fulfils dimension reduction processing for unknown quantities.The experimental results of single touch or multipoint touch show that the proposed algorithm is supposed to effectively reduce artifacts and has higher imaging quality compared with one-step GN al-gorithm and Wiener matrix method.It also tremendously promotes the spatial resolution in two-point discrimination test.关键词
电阻抗层析成像/图像重建/降维处理/Wiener矩阵/不适定性Key words
electrical impedance tomography/image reconstruction/dimension reduction/Wiener matrix/ill-posedness分类
信息技术与安全科学引用本文复制引用
王江南,郑文栋,葛泉波,刘华平..基于降维处理Wiener矩阵的EIT图像重建[J].传感技术学报,2025,38(9):1615-1623,9.基金项目
江苏高校"青蓝工程"项目(R2023Q07) （R2023Q07）
国家自然科学基金国际合作重点项目(62120106005) （62120106005）
中国博士后科学基金项目(2022M711825) （2022M711825）
国家自然科学基金项目(62033010) （62033010）
