NDLI: Clustering mechanism for electric tomography imaging

Content Provider	Springer Nature Link
Author	Yue, ShiHong Wu, Teresa Cui, LiJun Wang, HuaXiang
Copyright Year	2012
Abstract	Electrical tomography (ET) imaging, developed in the 1980s, has attracted much industrial and research attentions owing to its low cost, quick response, lack of radiation exposure, and non-intrusiveness compared to other tomography modalities. However, to date applications thereof have been limited owing to its low imaging resolution. The issue with space resolution in existing ET imaging reconstruction methods is that they employ a mathematical approach based on an ill-posed equation with inconsistent solutions. In this paper, we propose a novel ET imaging method based on a data-driven approach. By recovering the cluster structures hidden in the ET imaging process followed by the application of a fuzzy clustering algorithm to identify the cluster structures, there is no need to study the ill-posed mathematical formulation. The proposed method has been tested by means of three experiments, including image reconstructions of a human lung image and plastic rode shape, as well as two simulations executed on the Comsol platform. The results show that the proposed method can reconstruct ET images with much higher space resolution more quickly than the existing algorithms.
Starting Page	2849
Ending Page	2864
Page Count	16
File Format	PDF
ISSN	1674733X
Journal	Science in China Series : Information Sciences
Volume Number	55
Issue Number	12
e-ISSN	18691919
Language	English
Publisher	SP Science China Press
Publisher Date	2012-12-29
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	electrical tomography ill-posed problem fuzzy clustering space resolution Information Systems and Communication Service
Content Type	Text
Resource Type	Article
Subject	Computer Science

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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