Vector Segmentation of Volumetric Image Data: Tetrahedral Meshing Constrained by Image Edges
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F10%3APU89540" target="_blank" >RIV/00216305:26230/10:PU89540 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Vector Segmentation of Volumetric Image Data: Tetrahedral Meshing Constrained by Image Edges
Original language description
In this paper, a vector segmentation algorithm of volumetric data based on the 3D Delaunay triangulation is presented. A modified variational meshing method is used to adapt tetrahedral mesh to the underlying CT/MRI volumetric data. Moreover, to classifytetrahedra in the mesh into regions whose characteristics are similar, a clustering scheme viewing the mesh as undirected graph with edges weighted according to similarity of tetrahedra is discussed.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
JC - Computer hardware and software
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 3rd International Joint Converence on Computer Vision, Imaging and Computer Graphics Theaory and Applications
ISBN
978-989-674-026-9
ISSN
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e-ISSN
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Number of pages
5
Pages from-to
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Publisher name
Institute for Systems and Technologies of Information, Control and Communication
Place of publication
Setubal
Event location
Angers
Event date
May 17, 2010
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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