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Conference papers

Union-Find Volume Segmentation

Christophe Fiorio 1 Jens Gustedt 2 Thomas Lange 3
1 ARITH - Arithmétique informatique
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 RESEDAS - Software Tools for Telecommunications and Distributed Systems
INRIA Lorraine, LORIA - Laboratoire Lorrain de Recherche en Informatique et ses Applications
3 ZIB - Konrad-Zuse-Zentrum für Informationstechnik Berlin
Abstract : We present an efficient method to segment large 3d images that takes the whole 3-dimensional structure into account. We use a Union-Find data structure to record and maintain the necessary informations during the segmentation process. This structure leads to a volume labelling and facilitates interactive process by linking directly voxels to the volume they belong to. Moreover the global integration of all the data enhances the accuracy of statistical merging criteria.
Mots-clés : segmentation d'images volume labelling image segmentation étiquettage de volumes
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Submitted on : Wednesday, December 22, 2010 - 10:56:46 PM
Last modification on : Friday, February 4, 2022 - 3:15:18 AM
Long-term archiving on: : Wednesday, March 23, 2011 - 2:22:16 AM

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  • HAL Id : inria-00099034, version 1

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INRIA | CNRS | LIRMM | LORIA | UNIV-LORRAINE | MIPS | UNIV-MONTPELLIER | INRIA2

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Christophe Fiorio, Jens Gustedt, Thomas Lange. Union-Find Volume Segmentation. 7th International Workshop on Combinatorial Image Analysis - IWCIA'2000, 2000, Caen, France. pp.181-197. ⟨inria-00099034⟩

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