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» Level Set Methods for Watershed Image Segmentation
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ECCV
2004
Springer
14 years 10 months ago
Sparse Finite Elements for Geodesic Contours with Level-Sets
Level-set methods have been shown to be an effective way to solve optimisation problems that involve closed curves. They are well known for their capacity to deal with flexible top...
Martin Weber, Andrew Blake, Roberto Cipolla
ICCV
1999
IEEE
14 years 10 months ago
Learning-based Object Detection in Cardiac MR Images
An automated method for left ventricle detection in MR cardiac images is presented. Ventricle detection is the rst step in a fully automated segmentation system used to compute vo...
Nicolae Duta, Anil K. Jain, Marie-Pierre Dubuisson...
CVPR
2010
IEEE
14 years 1 months ago
Object Separation In X-Ray Image Sets
In the segmentation of natural images, most algorithms rely on the concept of occlusion. In x-ray images, however, this assumption is violated, since x-ray photons penetrate most ...
Geremy Heitz, Gal Chechik
IJAR
2006
197views more  IJAR 2006»
13 years 9 months ago
Rough fuzzy set based scale space transforms and their use in image analysis
In this paper we present a multi-scale method based on the hybrid notion of rough fuzzy sets, coming from the combination of two models of uncertainty like vagueness by handling r...
Alfredo Petrosino, Giuseppe Salvi
3DICA
2000
13 years 10 months ago
Impact of Intensity Edge map on Segmentation of Noisy Range Images
In this paper, we investigate the impact of intensity edge maps (IEMs) on the segmentation of noisy range images. Two edgebased segmentation algorithms are considered. The first i...
Yan Zhang, Yiyong Sun, Hamed Sari-Sarraf, Mongi A....