417 search results - page 13 / 84 » Supervised Image Segmentation Using Markov Random Fields |
ICPR
2006
IEEE
15 years 10 months ago
2006
IEEE
Images obtained with catadioptric sensors contain significant deformations which prevent the direct use of classical image treatments. Thus, Markov Random Fields (MRF) whose usefu...
114
click to vote
ICCV
2009
IEEE
14 years 7 months ago
2009
IEEE
In this paper, we propose a unified graphical-model framework to interpret a scene composed of multiple objects in monocular video sequences. Using a single pairwise Markov random...
ICPR
2004
IEEE
15 years 10 months ago
2004
IEEE
A Markov random field (MRF) model with a new implementation scheme is proposed for unsupervised image segmentation based on image features. The traditional two-component MRF model...
CVPR
2003
IEEE
15 years 11 months ago
2003
IEEE
This paper proposes a unified framework for spatiotemporal segmentation of video sequences. A Bayesian network is presented to model the interactions among the motion vector field...
81
Voted
ICIP
2007
IEEE
15 years 3 months ago
2007
IEEE
A new method for lossy compression of bilevel images based on Markov random fields (MRFs) is proposed. It preserves key structural information about the image, and then reconstru...