La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS
RECHERCHER

Graph cut segmentation with a global constraint: recovering region distribution via a bound of the Bhattacharyya measure

Ben Ayed, Ismail et Hua-mei, Chen et Punithakumar, Kumaradevan et Ross, Ian et Li, Shuo. 2010. « Graph cut segmentation with a global constraint: recovering region distribution via a bound of the Bhattacharyya measure ». In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (San Francisco, CA, USA, June 13-18, 2010), p. 3288-3295. IEEE.
Compte des citations dans Scopus : 7.

[img]
Prévisualisation
PDF
Ben Ayed I 2010 10507 Graph cut segmentation with a global constraint recovering.pdf

Télécharger (1MB) | Prévisualisation

Résumé

This study investigates an efficient algorithm for image segmentation with a global constraint based on the Bhattacharyya measure. The problem consists of finding a region consistent with an image distribution learned a priori. We derive an original upper bound of the Bhattacharyya measure by introducing an auxiliary labeling. From this upper bound, we reformulate the problem as an optimization of an auxiliary function by graph cuts. Then, we demonstrate that the proposed procedure converges and give a statistical interpretation of the upper bound. The algorithm requires very few iterations to converge, and finds nearly global optima. Quantitative evaluations and comparisons with state-of-the-art methods on the Microsoft GrabCut segmentation database demonstrated that the proposed algorithm brings improvements in regard to segmentation accuracy, computational efficiency, and optimality. We further demonstrate the flexibility of the algorithm in object tracking.

Type de document: Compte rendu de conférence
Professeur:
Professeur
Ben Ayed, Ismail
Affiliation: Autres
Date de dépôt: 11 sept. 2015 15:28
Dernière modification: 03 févr. 2016 01:37
URI: http://espace2.etsmtl.ca/id/eprint/10507

Actions (Authentification requise)

Dernière vérification avant le dépôt Dernière vérification avant le dépôt

Statistiques de téléchargement

Plus de statistiques ...