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

Volume

2

fYear

2011

fDate

6-7 Jan. 2011

Firstpage

627

Lastpage

631

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Measuring Technology and Mechatronics Automation (ICMTMA), 2011 Third International Conference on

Conference_Location

Shangshai

Print_ISBN

978-1-4244-9010-3

Type

conf

DOI

10.1109/ICMTMA.2011.442

Filename

5721260