• français
    • English
  • English 
    • français
    • English
  • Login
JavaScript is disabled for your browser. Some features of this site may not work without it.
BIRD Home

Browse

This CollectionBy Issue DateAuthorsTitlesSubjectsJournals BIRDResearch centres & CollectionsBy Issue DateAuthorsTitlesSubjectsJournals

My Account

Login

Statistics

View Usage Statistics

A New Dynamic Minimal Path Model for Tubular Structure Centerline Delineation

Thumbnail
Date
2018
Dewey
Traitement du signal
Sujet
Measurement; Coherence; Tensile stress; Anisotropic magnetoresistance; Feature extraction; Numerical models; Kernel
DOI
http://dx.doi.org/10.1109/ICPR.2018.8545534
Conference name
24th International Conference on Pattern Recognition (ICPR)
Conference date
08-2018
Conference city
beijing
Conference country
China
Book title
2018 24th International Conference on Pattern Recognition (ICPR)
Publisher
IEEE - Institute of Electrical and Electronics Engineers
Publisher city
Piscataway, NJ
Year
2018
URI
https://basepub.dauphine.fr/handle/123456789/20121
Collections
  • CEREMADE : Publications
Metadata
Show full item record
Author
Chen, Da
60 CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Cohen, Laurent D.
60 CEntre de REcherches en MAthématiques de la DEcision [CEREMADE]
Type
Communication / Conférence
Abstract (EN)
We propose a new dynamic Riemannian metric with adaptive anisotropy enhancement and with appearance feature coherence penalization. The appearance features are characterized by the orientation score maps. Unlike the static geodesic metrics which depend on local pointwise information, the dynamic metric can take into account the nonlocal feature coherence penalty in order to extract a desired structure from complicated background or from a vessel tree. We construct the metric using the information from two external reference points which are identified during the geodesic distance computation. Numerical experiments are performed in retinal vessels, including the independent results from the proposed dynamic metric itself and the comparison against existing minimal path models. The results show that the proposed metric indeed gets better performance than state-of-the-art geodesic metrics.

  • Accueil Bibliothèque
  • Site de l'Université Paris-Dauphine
  • Contact
SCD Paris Dauphine - Place du Maréchal de Lattre de Tassigny 75775 Paris Cedex 16

 Content on this site is licensed under a Creative Commons 2.0 France (CC BY-NC-ND 2.0) license.