loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Laurent Risser 1 ; Franck Plouraboué 1 and Xavier Descombes 2

Affiliations: 1 IMFT, Université Paul Sabatier, France ; 2 INRIA, France

ISBN: 978-972-8865-73-3

Keyword(s): Network, vessel extraction, skeleton, tensor voting, gap filling.

Related Ontology Subjects/Areas/Topics: Computer Vision, Visualization and Computer Graphics ; Enhancement and Restoration ; Image Formation and Preprocessing

Abstract: We present an algorithm for merging discontinuities in three-dimensional (3D) images of tubular structures. The application of the proposed method is associated with large 3D images presenting undesirable discontinuities. In order to recover the real network topology, we need to fill the gap between the closest discontinuous tubular segments. We present a new algorithm to achieve this goal based on a tensor voting method. This algorithm is robust, relatively fast and does not require numerous parameters nor manual intervention. Representative results are illustrated on real 3D micro-vascular networks.

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.207.134.98

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Risser L.; Plouraboué F.; Descombes X. and (2007). GAP FILLING IN 3D VESSEL LIKE PATTERNS WITH TENSOR FIELDS - Application to High Resolution Computed Tomography Images of Vessel Networks.In Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP, ISBN 978-972-8865-73-3, pages 46-52. DOI: 10.5220/0002050100460052

@conference{visapp07,
author={Laurent Risser and Franck Plouraboué and Xavier Descombes},
title={GAP FILLING IN 3D VESSEL LIKE PATTERNS WITH TENSOR FIELDS - Application to High Resolution Computed Tomography Images of Vessel Networks},
booktitle={Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,},
year={2007},
pages={46-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002050100460052},
isbn={978-972-8865-73-3},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications - Volume 1: VISAPP,
TI - GAP FILLING IN 3D VESSEL LIKE PATTERNS WITH TENSOR FIELDS - Application to High Resolution Computed Tomography Images of Vessel Networks
SN - 978-972-8865-73-3
AU - Risser, L.
AU - Plouraboué, F.
AU - Descombes, X.
PY - 2007
SP - 46
EP - 52
DO - 10.5220/0002050100460052

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.