Background segmentation to enhance remote field eddy current signals

Falque, R; Vidal-Calleja, T; Miro, JV; Lingnau, DC; Russell, DE

Background segmentation to enhance remote field eddy current signals

Falque, R Vidal-Calleja, T

Miro, JV

Lingnau, DC Russell, DE

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Publication Type:: Conference Proceeding
Citation:: Australasian Conference on Robotics and Automation, ACRA, 2014, 02-04-December-2014
Issue Date:: 2014-01-01

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Field	Value	Language
dc.contributor.author	Falque, R	en_US
dc.contributor.author	Vidal-Calleja, T https://orcid.org/0000-0002-5763-9644	en_US
dc.contributor.author	Miro, JV https://orcid.org/0000-0002-0083-7797	en_US
dc.contributor.author	Lingnau, DC	en_US
dc.contributor.author	Russell, DE	en_US
dc.date.issued	2014-01-01	en_US
dc.identifier.citation	Australasian Conference on Robotics and Automation, ACRA, 2014, 02-04-December-2014	en_US
dc.identifier.isbn	9780980740448	en_US
dc.identifier.issn	1448-2053	en_US
dc.identifier.uri	http://hdl.handle.net/10453/30958
dc.description.abstract	Pipe condition assessment is critical to avoid breakages. Remote Field Eddy Current (RFEC) is a commonly used technology to assess the condition of pipes. The nature of this technology induces some particular noise into its measurements. In this paper, we develop a 3D simulation based on the Finite Element Analysis to study the properties of this noise. Moreover, we propose a filtering process based on a modified version of graph-cuts segmentation method to remove the influence of this noise. Simulated data together with an experimental data-set obtained from a real RFEC inspection show the validity of the proposed approach.	en_US
dc.relation.ispartof	Australasian Conference on Robotics and Automation, ACRA	en_US
dc.title	Background segmentation to enhance remote field eddy current signals	en_US
dc.type	Conference Proceeding
utslib.citation.volume	02-04-December-2014	en_US
utslib.for	0801 Artificial Intelligence and Image Processing	en_US
utslib.for	0913 Mechanical Engineering	en_US
dc.location.activity	Melbourne University
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Mechanical and Mechatronic Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - CAS - Centre for Autonomous Systems
utslib.copyright.status	open_access
pubs.publication-status	Published	en_US
pubs.volume	02-04-December-2014	en_US

Abstract:

Pipe condition assessment is critical to avoid breakages. Remote Field Eddy Current (RFEC) is a commonly used technology to assess the condition of pipes. The nature of this technology induces some particular noise into its measurements. In this paper, we develop a 3D simulation based on the Finite Element Analysis to study the properties of this noise. Moreover, we propose a filtering process based on a modified version of graph-cuts segmentation method to remove the influence of this noise. Simulated data together with an experimental data-set obtained from a real RFEC inspection show the validity of the proposed approach.

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http://hdl.handle.net/10453/30958