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» Object Segmentation Using Graph Cuts Based Active Contours
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ICMCS
2008
IEEE
165views Multimedia» more  ICMCS 2008»
15 years 4 months ago
Graph cuts by using local texture features of wavelet coefficient for image segmentation
This paper proposes an approach to image segmentation using Iterated Graph Cuts based on local texture features of wavelet coefficient. Using Multiresolution Analysis based on Ha...
Keita Fukuda, Tetsuya Takiguchi, Yasuo Ariki
ISVC
2009
Springer
15 years 2 months 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...
CVPR
2012
IEEE
12 years 12 months ago
Graph cuts optimization for multi-limb human segmentation in depth maps
We present a generic framework for object segmentation using depth maps based on Random Forest and Graph-cuts theory, and apply it to the segmentation of human limbs in depth maps...
Antonio Hernández-Vela, Nadezhda Zlateva, A...
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MICCAI
2005
Springer
15 years 10 months ago
MRA Image Segmentation with Capillary Active Contour
Abstract. Precise segmentation of three-dimensional (3D) magnetic resonance angiography (MRA) image can be a very useful computer aided diagnosis (CAD) tool in clinical routines. O...
Pingkun Yan, Ashraf A. Kassim
BMVC
2010
14 years 4 months ago
Saliency Segmentation based on Learning and Graph Cut Refinement
Saliency detection is a well researched problem in computer vision. In previous work, most of the effort is spent on manually devising a saliency measure. Instead we propose a sim...
Paria Mehrani, Olga Veksler