417 search results - page 2 / 84 » Supervised Image Segmentation Using Markov Random Fields |
ICIP
2005
IEEE
14 years 6 months ago
2005
IEEE
Markov random field (MRF) theory has widely been applied to segmentation in noisy images. This paper proposes a new MRF method. First, it couples the original labeling MRF with a ...
SSIAI
2000
IEEE
13 years 9 months ago
2000
IEEE
The use of random fields, which allows one to take into account the spatial interaction among random variables in complex systems, is a frequent tool in numerous problems of stati...
EMMCVPR
1999
Springer
13 years 9 months ago
1999
Springer
This paper considers the use of the EM-algorithm, combined with mean field theory, for parameter estimation in Markov random field models from unlabelled data. Special attention ...
ICMCS
2009
IEEE
13 years 2 months ago
2009
IEEE
In this paper, we present a novel localized Markov random field (MRF) method based on superpixels for region segmentation. Early vision problems could be formulated as pixel label...
PAMI
2010
13 years 3 months ago
2010
—This paper addresses the problem of self-validated labeling of Markov random fields (MRFs), namely to optimize an MRF with unknown number of labels. We present graduated graph c...