Image reconstruction algorithm based on fixed-point iteration for electrical capacitance tomography

4Citations
Citations of this article
6Readers
Mendeley users who have this article in their library.
Get full text

Abstract

To improve the quality of the reconstruction image for discontinuous media distribution areas, a total variation (TV) regularization based on bounded variation function was employed to solve the ill-posed problem of electrical capacitance tomography (ECT). By using TV regularization, an Euler equation, a non-linear partial differential equation, is derived to describe the ECT problem. However, it is very time consuming, if possible, for traditional methods to solve this Euler equation. This paper presents a new fixed-point iterative algorithm which can get the solution stably and rapidly. Numerical results show that the presented method improves the quality of the reconstruction image for discontinuous media distribution areas in ECT image reconstruction, and leads to the common boundary between different media clearer. © 2011 Springer-Verlag Berlin Heidelberg.

Cite

CITATION STYLE

APA

Li, C., Yang, X., & Wang, Y. (2011). Image reconstruction algorithm based on fixed-point iteration for electrical capacitance tomography. In Lecture Notes in Electrical Engineering (Vol. 100 LNEE, pp. 325–332). https://doi.org/10.1007/978-3-642-21762-3_42

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free