loading
Papers Papers/2022 Papers Papers/2022

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

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.

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 18.226.251.68

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. and Descombes, X. (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 (VISIGRAPP 2007) - Volume 1: VISAPP; ISBN 978-972-8865-73-3; ISSN 2184-4321, SciTePress, 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 (VISIGRAPP 2007) - Volume 1: VISAPP},
year={2007},
pages={46-52},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002050100460052},
isbn={978-972-8865-73-3},
issn={2184-4321},
}

TY - CONF

JO - Proceedings of the Second International Conference on Computer Vision Theory and Applications (VISIGRAPP 2007) - 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
IS - 2184-4321
AU - Risser, L.
AU - Plouraboué, F.
AU - Descombes, X.
PY - 2007
SP - 46
EP - 52
DO - 10.5220/0002050100460052
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic