Intrinsic quality analysis of binary partition trees - Université Paris Cité Accéder directement au contenu
Communication Dans Un Congrès Année : 2018

Intrinsic quality analysis of binary partition trees

Résumé

The binary partition tree (BPT) is a well-known hierarchical data-structure, frequently involved image segmentation procedures. The efficiency of segmentation based on BPTs depends on the segmentation process ("how to use a BPT?"), but also on the quality of the data-structure ("how to build a BPT?"). In this article, we propose a scheme for BPT quality analysis, with the purpose of answering the latter question. It relies on the observation of the very structure of a BPT, with respect to a given ground-truth example. Our hypothesis is that such intrinsic scheme can bring relevant clues about the ability of a BPT to provide correct segmentation results. Experiments carried out on satellite images illustrate the relevance of this scheme.
Fichier principal
Vignette du fichier
Randrianasoa_ICPRAI_2018.pdf (1.06 Mo) Télécharger le fichier
Randrianasoa ICPRAI 2018 slides.pdf (2.62 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01695077 , version 1 (09-02-2018)

Identifiants

  • HAL Id : hal-01695077 , version 1

Citer

Jimmy Francky Randrianasoa, Camille Kurtz, Pierre Gançarski, Eric Desjardin, Nicolas Passat. Intrinsic quality analysis of binary partition trees. International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI), 2018, Montréal, Canada. pp.114-119. ⟨hal-01695077⟩
224 Consultations
231 Téléchargements

Partager

Gmail Facebook X LinkedIn More