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dc.contributor.author
Patera, Alessandra
dc.contributor.author
Carl, Stephan
dc.contributor.author
Stampanoni, Marco
dc.contributor.author
Derome, Dominique
dc.contributor.author
Carmeliet, Jan
dc.date.accessioned
2019-01-31T12:37:25Z
dc.date.available
2019-01-30T09:15:31Z
dc.date.available
2019-01-31T12:37:25Z
dc.date.issued
2018-01-22
dc.identifier.other
10.1186/s40679-018-0050-0
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/321233
dc.identifier.doi
10.3929/ethz-b-000321233
dc.description.abstract
This paper concerns the problem of wood cellular structure image registration. Given the large variability of wood geometry and the important changes in the cellular organization due to moisture sorption, an affine-based image registration technique is not exhaustive to describe the overall hygro-mechanical behaviour of wood at micrometre scales. Additionally, free tools currently available for non-rigid image registration are not suitable for quantifying the structural deformations of complex hierarchical materials such as wood, leading to errors due to misalignment. In this paper, we adapt an existing non-rigid registration model based on B-spline functions to our case study. The so-modified algorithm combines the concept of feature recognition within specific regions locally distributed in the material with an optimization problem. Results show that the method is able to quantify local deformations induced by moisture changes in tomographic images of wood cell wall with high accuracy. The local deformations provide new important insights in characterizing the swelling behaviour of wood at the cell wall level.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
Springer
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
Image registration
en_US
dc.subject
B-spline function
en_US
dc.subject
Free form deformation
en_US
dc.subject
Spruce wood
en_US
dc.subject
X-ray tomography
en_US
dc.subject
Equivalent
en_US
dc.title
A non-rigid registration method for the analysis of local deformations in the wood cell wall
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
ethz.journal.title
Advanced Structural and Chemical Imaging
ethz.journal.volume
4
en_US
ethz.journal.issue
1
en_US
ethz.size
11 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.scopus
ethz.publication.place
Cham
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03817 - Stampanoni, Marco F.M. / Stampanoni, Marco F.M.
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02140 - Dep. Inf.technologie und Elektrotechnik / Dep. of Inform.Technol. Electrical Eng.::02631 - Institut für Biomedizinische Technik / Institute for Biomedical Engineering::03817 - Stampanoni, Marco F.M. / Stampanoni, Marco F.M.
en_US
ethz.date.deposited
2019-01-30T09:15:35Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2019-01-31T12:37:47Z
ethz.rosetta.lastUpdated
2019-01-31T12:37:47Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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