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» Graph Cuts and Efficient N-D Image Segmentation
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ICPR
2008
IEEE
14 years 2 months ago
Medical image segmentation via min s-t cuts with sides constraints
Graph cut algorithms (i.e., min s-t cuts) [3][10][15] are useful in many computer vision applications. In this paper we develop a formulation that allows the addition of side cons...
Jiun-Hung Chen, Linda G. Shapiro
ICCV
2009
IEEE
1136views Computer Vision» more  ICCV 2009»
15 years 16 days ago
Robust Graph-Cut Scene Segmentation and Reconstruction for Free-Viewpoint Video of Complex Dynamic Scenes
Current state-of-the-art image-based scene reconstruction techniques are capable of generating high-fidelity 3D models when used under controlled capture conditions. However, th...
Jean-Yves Guillemaut, Joe Kilner and Adrian Hilton
EMMCVPR
2011
Springer
12 years 7 months ago
SlimCuts: GraphCuts for High Resolution Images Using Graph Reduction
Abstract. This paper proposes an algorithm for image segmentation using GraphCuts which can be used to efficiently solve labeling problems on high resolution images or resource-lim...
Björn Scheuermann, Bodo Rosenhahn
ECCV
2008
Springer
14 years 9 months ago
Star Shape Prior for Graph-Cut Image Segmentation
In recent years, segmentation with graph cuts is increasingly used for a variety of applications, such as photo/video editing, medical image processing, etc. One of the most common...
Olga Veksler
CVIU
2008
180views more  CVIU 2008»
13 years 7 months ago
Topology cuts: A novel min-cut/max-flow algorithm for topology preserving segmentation in N-D images
Topology is an important prior in many image segmentation tasks. In this paper, we design and implement a novel graph-based min-cut/max-flow algorithm that incorporates topology p...
Yun Zeng, Dimitris Samaras, Wei Chen, Qunsheng Pen...