Curvelet-based geodesic snakes for image segmentation with multiple objects - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Pattern Recognition Letters Année : 2009

Curvelet-based geodesic snakes for image segmentation with multiple objects

, (1, 2)
1
2

Résumé

Curvelet transform is a multiscale and multidirectional geometric wavelet transform, which is an optimal sparse representation of edges and contours of objects. In this paper, a curvelet-based geodesic snake (CGS) is proposed for image segmentation of multiple objects. By producing the edge map of objects by curvelet thresholding instead of simple gradient methods, the proposed method shows great promises to recognize edges of multiple objects with weak edges and strong noises. In addition, we design several rules to quantitatively compare the segmentation accuracy.
Fichier non déposé

Dates et versions

hal-00506072 , version 1 (27-07-2010)

Identifiants

Citer

Hao Shan, Jianwei Ma. Curvelet-based geodesic snakes for image segmentation with multiple objects. Pattern Recognition Letters, 2009, 31, pp.355-360. ⟨10.1016/j.patrec.2009.10.018⟩. ⟨hal-00506072⟩
188 Consultations
0 Téléchargements

Altmetric

Partager

Gmail Facebook Twitter LinkedIn More