A New Hybrid Image Reconstruction Algorithm for Magnetic Induction Tomography
A new hybrid algorithm is presented in this paper,which solves the ill-posed inverse problem of magnetic induction tomography (MIT) and improves the quality of reconstructed image.The hybrid algorithm firstly produces the preliminary image region using Tikhonov regularization algorithm,and then it obtains the final reconstructed image using variation regularization algorithm.The hybrid algorithm,compared with the Tikhonov regularization algorithm and the variation regularization algorithm,overcomes the numerical instability of MIT image reconstruction and accelerates the convergence speed of image reconstruction,and it also improves the resolving power of targets conductor and the quality of the reconstructed image.Simulation results show that the quality of the reconstructed image obtained using the hybrid algorithm is enhanced,so an effective algorithm for magnetic induction tomography (MIT) is introduced.
Magnetic Induction Impedance Tomography(MIT) reconstructed image Tikhonov regularization variation regularization hybrid algorithm
Yuyan Chen XU Wang Dan Yang Yi LV
School of Information Science & Engineering, Northeastern University, Shenyang, China
国际会议
西安
英文
1706-1710
2012-08-24（万方平台首次上网日期，不代表论文的发表时间）