Adaptive Tangential Cover for Noisy Digital Contours

Phuc Ngo 1 Hayat Nasser 1 Isabelle Debled-Rennesson 1 Bertrand Kerautret 1
1 ADAGIO - Applying Discrete Algorithms to Genomics and Imagery
LORIA - ALGO - Department of Algorithms, Computation, Image and Geometry
Abstract : The notion of tangential cover, based on maximal segments, is a well-known tool to study the geometrical characteristics of a discrete curve. However, it is not adapted to noisy digital contours. In this paper, we propose a new notion, named Adaptive Tangential Cover, to study noisy digital contours. It relies on the meaningful thickness, calculated at each point of the contour, which permits to locally estimate the noise level. The Adaptive Tangential Cover is then composed of maximal blurred segments with appropriate widths, deduced from the noise level estimation. We present a parameter-free algorithm for computing the Adaptive Tangential Cover. Moreover an application to dominant point detection is proposed. The experimental results demonstrate the efficiency of this new notion.
Type de document :
Communication dans un congrès
DGCI 2016 - 19th international conference on Discrete Geometry for Computer Imagery, Apr 2016, Nantes, France. 〈10.1007/978-3-319-32360-2_34〉
Liste complète des métadonnées

https://hal.inria.fr/hal-01266033
Contributeur : Phuc Ngo <>
Soumis le : lundi 1 février 2016 - 23:01:35
Dernière modification le : mardi 24 avril 2018 - 13:16:28
Document(s) archivé(s) le : samedi 12 novembre 2016 - 01:57:01

Fichier

DGCI_2016.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

Collections

Citation

Phuc Ngo, Hayat Nasser, Isabelle Debled-Rennesson, Bertrand Kerautret. Adaptive Tangential Cover for Noisy Digital Contours. DGCI 2016 - 19th international conference on Discrete Geometry for Computer Imagery, Apr 2016, Nantes, France. 〈10.1007/978-3-319-32360-2_34〉. 〈hal-01266033〉

Partager

Métriques

Consultations de la notice

362

Téléchargements de fichiers

153