Image Reconstruction Based on Homotopy Perturbation Inversion Method for Electrical Impedance Tomography
Jing Wang and
Bo Han
Journal of Applied Mathematics, 2013, vol. 2013, issue 1
Abstract:
The image reconstruction for electrical impedance tomography (EIT) mathematically is a typed nonlinear ill‐posed inverse problem. In this paper, a novel iteration regularization scheme based on the homotopy perturbation technique, namely, homotopy perturbation inversion method, is applied to investigate the EIT image reconstruction problem. To verify the feasibility and effectiveness, simulations of image reconstruction have been performed in terms of considering different locations, sizes, and numbers of the inclusions, as well as robustness to data noise. Numerical results indicate that this method can overcome the numerical instability and is robust to data noise in the EIT image reconstruction. Moreover, compared with the classical Landweber iteration method, our approach improves the convergence rate. The results are promising.
Date: 2013
References: Add references at CitEc
Citations:
Downloads: (external link)
https://doi.org/10.1155/2013/454706
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:wly:jnljam:v:2013:y:2013:i:1:n:454706
Access Statistics for this article
More articles in Journal of Applied Mathematics from John Wiley & Sons
Bibliographic data for series maintained by Wiley Content Delivery ().