Title :
An Image Reconstruction Algorithm Based on Tikhonov Regularization in Electromagnetic Tomography
Author :
Liu, Ze ; Tan, Xiaoying ; Jia, Wei
Author_Institution :
Sch. of Electron. & Inf. Eng., Beijing Jiaotong Univ., Beijing, China
Abstract :
An image reconstruction algorithm based on Tikhonov Regularization algorithm is studied in this paper to improve the accuracy of online image reconstruction in Electromagnetic Tomography (EMT) systems. The method of least squares is employed to reduce the error aroused in the linear approximation of the nonlinear inverse problem. To overcome the ill-posedness, Tikhonov Regularization is introduced to optimize the algorithm. Simulation results have shown the pros and cons of the proposed algorithm, compared with the LBP algorithm.
Keywords :
approximation theory; image reconstruction; inverse problems; least squares approximations; tomography; Tikhonov regularization; electromagnetic tomography; error reduction; image reconstruction algorithm; linear approximation; nonlinear inverse problem; online image reconstruction; Coils; Conducting materials; Electromagnetic measurements; Image reconstruction; Inverse problems; Magnetic field measurement; Magnetic materials; Sensor arrays; Space technology; Tomography; Electromagnetic tomography; Tikhonov regularization; image reconstruction; sensitivity;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
Conference_Location :
Changsha City
Print_ISBN :
978-1-4244-5001-5
Electronic_ISBN :
978-1-4244-5739-7
DOI :
10.1109/ICMTMA.2010.800
