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VLSM
2005
Springer
14 years 1 months ago
Advances in Variational Image Segmentation Using AM-FM Models: Regularized Demodulation and Probabilistic Cue Integration
Current state-of-the-art methods in variational image segmentation using level set methods are able to robustly segment complex textured images in an unsupervised manner. In recent...
Georgios Evangelopoulos, Iasonas Kokkinos, Petros ...
TIP
1998
134views more  TIP 1998»
13 years 7 months ago
Region growing: a new approach
Accurate segmentation of images is one of the most important objectives in image analysis. The two conventional methods of image segmentation, region based segmentation and bounda...
S. A. Hojjatoleslami, Josef Kittler
CVPR
2003
IEEE
14 years 10 months ago
Learning Affinity Functions for Image Segmentation: Combining Patch-based and Gradient-based Approaches
This paper studies the problem of combining region and boundary cues for natural image segmentation. We employ a large database of manually segmented images in order to learn an o...
Charless Fowlkes, David R. Martin, Jitendra Malik
TMI
2010
148views more  TMI 2010»
13 years 6 months ago
General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling
—Detecting blood vessels in retinal images with the presence of bright and dark lesions is a challenging unsolved problem. In this paper, a novel multiconcavity modeling approach...
Benson S. Y. Lam, Yongsheng Gao, Alan Wee-Chung Li...
CIS
2005
Springer
14 years 1 months ago
A Novel Multi-stage 3D Medical Image Segmentation: Methodology and Validation
Abstract. In this paper, we present a novel multi-stage algorithm for 3D medical image segmentation that is inspired by an improved Fast Marching method and a morphological reconst...
Jianfeng Xu, Lixu Gu, Xiahai Zhuang, Terry M. Pete...