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» Graph Cuts and Efficient N-D Image Segmentation
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ECCV
2010
Springer
13 years 7 months ago
Superpixels and Supervoxels in an Energy Optimization Framework
Many methods for object recognition, segmentation, etc., rely on tessellation of an image into "superpixels". A superpixel is an image patch which is better aligned with ...
Olga Veksler, Yuri Boykov, Paria Mehrani
PAMI
2006
181views more  PAMI 2006»
13 years 7 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
ICPR
2008
IEEE
14 years 2 months ago
Graph cut based deformable model with statistical shape priors
This paper presents a novel graph cut based segmentation approach with shape priors. The model incorporates statistical shape prior information with the active contour without edg...
Noha Youssry El-Zehiry, Adel Elmaghraby
ACCV
2007
Springer
14 years 1 months ago
Image Segmentation Using Iterated Graph Cuts Based on Multi-scale Smoothing
We present a novel approach to image segmentation using iterated Graph Cuts based on multi-scale smoothing. We compute the prior probability obtained by the likelihood from a color...
Tomoyuki Nagahashi, Hironobu Fujiyoshi, Takeo Kana...
ICIP
2007
IEEE
14 years 9 months ago
Automated Segmentation of Torn Frames using the Graph Cuts Technique
Film Tear is a form of degradation in archived film and is the physical ripping of the film material. Tear causes displacement of a region of the degraded frame and the loss of im...
David Corrigan, Naomi Harte, Anil C. Kokaram