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» Geodesic Graph Cut for Interactive Image Segmentation
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MICCAI
2006
Springer
15 years 10 months ago
An Energy Minimization Approach to the Data Driven Editing of Presegmented Images/Volumes
Fully automatic, completely reliable segmentation in medical images is an unrealistic expectation with today's technology. However, many automatic segmentation algorithms may ...
Leo Grady, Gareth Funka-Lea
95
Voted
PAMI
2006
181views more  PAMI 2006»
14 years 9 months ago
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging in many medical image analysis applications....
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka
ECCV
2006
Springer
15 years 11 months ago
PoseCut: Simultaneous Segmentation and 3D Pose Estimation of Humans Using Dynamic Graph-Cuts
Abstract. We present a novel algorithm for performing integrated segmentation and 3D pose estimation of a human body from multiple views. Unlike other related state of the art tech...
Matthieu Bray, Pushmeet Kohli, Philip H. S. Torr
ECCV
2008
Springer
15 years 11 months ago
Image Segmentation by Branch-and-Mincut
Efficient global optimization techniques such as graph cut exist for energies corresponding to binary image segmentation from lowlevel cues. However, introducing a high-level prior...
Victor S. Lempitsky, Andrew Blake, Carsten Rother
ICCV
2007
IEEE
15 years 11 months ago
A Seeded Image Segmentation Framework Unifying Graph Cuts And Random Walker Which Yields A New Algorithm
In this work, we present a common framework for seeded image segmentation algorithms that yields two of the leading methods as special cases - The Graph Cuts and the Random Walker...
Ali Kemal Sinop, Leo Grady