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» A probabilistic framework for image segmentation
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ICIP
2009
IEEE
13 years 5 months ago
A contrario hierarchical image segmentation
Hierarchies are a powerful tool for image segmentation, they produce a multiscale representation which allows to design robust algorithms and can be stored in tree-like structures...
Juan Cardelino, Vicent Caselles, Marcelo Bertalm&i...
ISVC
2009
Springer
14 years 17 days ago
A Novel 3D Segmentation of Vertebral Bones from Volumetric CT Images Using Graph Cuts
Bone mineral density (BMD) measurements and fracture analysis of the spine bones are restricted to the Vertebral bodies (VBs). In this paper, we present a novel and fast 3D segment...
Melih S. Aslan, Asem M. Ali, Ham M. Rara, Ben Arno...
IPMI
2005
Springer
14 years 8 months ago
A Riemannian Approach to Diffusion Tensor Images Segmentation
We address the problem of the segmentation of cerebral white matter structures from diffusion tensor images. Our approach is grounded on the theoretically well-founded differential...
Christophe Lenglet, Mikaël Rousson, Rachid De...
ICPR
2010
IEEE
13 years 7 months ago
3D Vertebrae Segmentation in CT Images with Random Noises
Exposure levels (X-ray tube amperage and peak kilovoltage) are associated with various noise levels and radiation dose. When higher exposure levels are applied, the images have hi...
Melih Seref Aslan
ECCV
1998
Springer
14 years 9 months ago
Concerning Bayesian Motion Segmentation, Model, Averaging, Matching and the Trifocal Tensor
Abstract. Motion segmentation involves identifying regions of the image that correspond to independently moving objects. The number of independently moving objects, and type of mot...
Philip H. S. Torr, Andrew Zisserman