1427 search results - page 14 / 286 » Markov Random Field Models in Computer Vision |
ICPR
2008
IEEE
15 years 1 days ago
2008
IEEE
We propose textural features, which are invariant to illumination spectrum and extremely robust to illumination direction. They require only a single training image per texture an...
ICPR
2006
IEEE
14 years 12 months ago
2006
IEEE
This paper presents Markov random fields (MRFs) to segment strokes of Chinese characters. The distortions caused by the thinning process make the thinning-based stroke segmentatio...
ICCV
2011
IEEE
12 years 11 months ago
2011
IEEE
Many state-of-the-art segmentation algorithms rely on Markov or Conditional Random Field models designed to enforce spatial and global consistency constraints. This is often accom...
CVPR
2006
IEEE
15 years 26 days ago
2006
IEEE
This paper presents a generic method for solving Markov random fields (MRF) by formulating the problem of MAP estimation as 0-1 quadratic programming (QP). Though in general solvi...
101
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Source Code
This is the sample implementation of a Markov random field based image segmentation algorithm described in the following papers:
1. Mark Berthod, Zoltan Kato, Shan Yu, and Josi...