148 search results - page 6 / 30 » A new stochastic image model based on Markov random fields a... |
EMMCVPR
1999
Springer
13 years 12 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 ...
ICIP
2005
IEEE
14 years 9 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 ...
3DOR
2008
13 years 10 months ago
2008
Mesh analysis and clustering have became important issues in order to improve the efficiency of common processing operations like compression, watermarking or simplification. In t...
ICIP
2005
IEEE
14 years 9 months ago
2005
IEEE
The hidden Markov field (HMF) model has been used in many model-based solutions to image analysis problems, including that of image segmentation, and generally gives satisfying re...
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Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...