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SCALESPACE
2009
Springer
13 years 9 months ago
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
We propose a semi-supervised image segmentation method that relies on a non-local continuous version of the min-cut algorithm and labels or seeds provided by a user. The segmentati...
Nawal Houhou, Xavier Bresson, Arthur Szlam, Tony F...
IJCV
2006
299views more  IJCV 2006»
13 years 4 months ago
Graph Cuts and Efficient N-D Image Segmentation
Combinatorial graph cut algorithms have been successfully applied to a wide range of problems in vision and graphics. This paper focusses on possibly the simplest application of gr...
Yuri Boykov, Gareth Funka-Lea
MICCAI
2010
Springer
13 years 3 months ago
Joint Registration and Segmentation of Dynamic Cardiac Perfusion Images Using MRFs
In this paper we propose a Markov random field (MRF) based method for joint registration and segmentation of cardiac perfusion images, specifically the left ventricle (LV). MRFs ...
Dwarikanath Mahapatra, Ying Sun
ISBI
2011
IEEE
12 years 8 months ago
Segmentation of anatomical branching structures based on texture features and graph cut
Segmentation of tree-like structure within medical imaging modalities, such as x-ray, MRI, ultrasound, etc., is an important step for analyzing branching patterns involved in many...
Tatyana Nuzhnaya, Erkang Cheng, Haibin Ling, Despi...
ICIAR
2010
Springer
13 years 3 months ago
Adaptive Regularization Parameter for Graph Cut Segmentation
Abstract. Graph cut minimization formulates the segmentation problem as the liner combination of data and smoothness terms. The smoothness term is included in the energy formulatio...
Sema Candemir, Yusuf Sinan Akgul