Title :
Modified Conjugate Gradient Algorithm and its Convergence for Electromagnetic Tomography
Author :
Liu, Li ; Fuqun, Shao
Author_Institution :
Coll. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
Abstract :
In order to improve quality of reconstructed image in electromagnetic tomography (EMT), modified conjugate gradient algorithm is devised. This algorithm is added a parameter to conjugate gradient algorithm for realizing sufficient descent property. Convergence is analyzed. Result of image reconstruction is given used Land Weber iteration algorithm, Tikhonov regularization algorithm, conjugate gradient algorithm and modified conjugate gradient algorithm. The evaluation is compared of image error, correlation coefficient, and convergence for image reconstruction. Conclusions are drew, which is modified conjugate gradient algorithm excels other algorithms.
Keywords :
conjugate gradient methods; electromagnetic induction; image reconstruction; tomography; EMT; Landweber iteration algorithm; Tikhonov regularization algorithm; correlation coefficient; electromagnetic tomography; image error; image reconstruction; modified conjugate gradient algorithm; Convergence; Copper; Correlation; Electromagnetics; Image reconstruction; Magnetic field measurement; Tomography; conjugate gradient; convergence; electromagnetic tomography; image reconstruction;
Conference_Titel :
Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on
Conference_Location :
Shangshai
Print_ISBN :
978-1-4244-9010-3
DOI :
10.1109/ICMTMA.2011.442
