1427 search results - page 14 / 286 » Markov Random Field Modeling in Computer Vision |
ICPR
2008
IEEE
14 years 9 months 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 8 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 7 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
14 years 9 months 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...
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...