Image reconstruction using adaptive mesh refinement based on adaptive thresholding in electrical impedance tomography
- Authors
- Kim, Bong Seok; Kim, Kyung Youn; Kim, Sin
- Issue Date
- Apr-2014
- Publisher
- ELSEVIER SCIENCE SA
- Citation
- NUCLEAR ENGINEERING AND DESIGN, v.270, pp 421 - 426
- Pages
- 6
- Journal Title
- NUCLEAR ENGINEERING AND DESIGN
- Volume
- 270
- Start Page
- 421
- End Page
- 426
- URI
- https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/12320
- DOI
- 10.1016/j.nucengdes.2013.12.063
- ISSN
- 0029-5493
1872-759X
- Abstract
- As an alternative noninvasive technique, electrical impedance tomography has been employed to visualize two-phase flows, because of its fast response for monitoring flow processes. However, it still suffers from poor resolution of reconstructed images due to non-linearity and ill-posedness of the inverse problem. To overcome this problem, in this paper, an adaptive mesh refinement method based on an adaptive threshold technique is proposed to improve the image resolution of the Gauss-Newton method without any prior information. Both numerical and experimental studies have been carried out and the results show that the proposed method has better performance as compared to the conventional method. (C) 2014 Elsevier B.V. All rights reserved.
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- Appears in
Collections - College of Engineering > School of Energy System Engineering > 1. Journal Articles
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