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Image Reconstruction of Metal Pipe in Electrical Resistance Tomography

Authors :
Suzanna RIDZUAN AW
Ruzairi ABDUL RAHIM
Yusri MOHD YUNUS
Mohd Hafiz FAZALUL RAHIMAN
Yasmin WAHAB
Fazlul Rahman Mohd YUNUS
Elmy Johana MOHAMED
Azian ABDUL AZIZ
Chiew Loon GOH
Jayasuman PUSPPANATHAN
R. G. GREEN
Zhen Cong TEE
Source :
Sensors & Transducers, Vol 209, Iss 2, Pp 12-19 (2017)
Publication Year :
2017
Publisher :
IFSA Publishing, S.L., 2017.

Abstract

This paper demonstrates a Linear Back Projection (LBP) algorithm based on the reconstruction of conductivity distributions to identify different sizes and locations of bubble phantoms in a metal pipe. Both forward and inverse problems are discussed. Reconstructed images of the phantoms under test conditions are presented. From the results, it was justified that the sensitivity maps of the conducting boundary strategy can be applied successfully in identifying the location for the phantom of interest using LBP algorithm. Additionally, the number and spatial distribution of the bubble phantoms can be clearly distinguished at any location in the pipeline. It was also shown that the reconstructed images agree well with the bubble phantoms.

Details

Language :
English
ISSN :
17265479 and 23068515
Volume :
209
Issue :
2
Database :
OpenAIRE
Journal :
Sensors & Transducers
Accession number :
edsair.doajarticles..73225fe6e0f47ac8ea5c77affce6d108