20 search results - page 1 / 4 » Stochastic Image Segmentation by Typical Cuts |
CVPR
1999
IEEE
14 years 6 months ago
1999
IEEE
We present a stochastic clustering algorithm which uses pairwise similarity of elements, based on a new graph theoretical algorithm for the sampling of cuts in graphs. The stochas...
ECCV
2008
Springer
14 years 6 months ago
2008
Springer
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...
MICCAI
2005
Springer
14 years 5 months ago
2005
Springer
This paper introduces a novel solver, namely cross entropy (CE), into the MRF theory for medical image segmentation. The solver, which is based on the theory of rare event simulati...
TIP
2011
12 years 11 months ago
2011
Abstract—The purpose of this study is to investigate multiregion graph cut image partitioning via kernel mapping of the image data. The image data is transformed implicitly by a ...
CVPR
2000
IEEE
13 years 9 months ago
2000
IEEE
We use cluster analysis as a unifying principle for problems from low, middle and high level vision. The clustering problem is viewed as graph partitioning, where nodes represent ...