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» Image Thresholding Using Graph Cuts
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CVPR
2004
IEEE
15 years 28 days ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
IJCV
2006
299views more  IJCV 2006»
13 years 11 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
2008
Springer
15 years 2 days ago
Weights and Topology: A Study of the Effects of Graph Construction on 3D Image Segmentation
Abstract. Graph-based algorithms have become increasingly popular for medical image segmentation. The fundamental process for each of these algorithms is to use the image content t...
Leo Grady, Marie-Pierre Jolly
CVPR
2004
IEEE
15 years 28 days ago
Segment-Based Stereo Matching Using Graph Cuts
In this paper, we present a new segment-based stereo matching algorithm using graph cuts. In our approach, the reference image is divided into non-overlapping homogeneous segments...
Li Hong, George Chen
ICPR
2010
IEEE
14 years 4 months ago
Live Cell Segmentation in Fluorescence Microscopy via Graph Cut
We propose a novel Markovian segmentation model which takes into account edge information. By construction, the model uses only pairwise interactions and its energy is submodula...
Milán Leskó, Zoltan Kato, Antal Nagy, Imre Gombo...