481 search results - page 31 / 97 » A Markov random field image segmentation model for color tex... |
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
EMMCVPR
1999
Springer
13 years 11 months ago
1999
Springer
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
ICIP
2002
IEEE
14 years 9 months ago
2002
IEEE
In this paper, we demonstrate that multiscale Bayesian image segmentation can be enhanced by improving both contextual modeling and statistical texture characterization. Firstly, ...
MICCAI
2003
Springer
14 years 8 months ago
2003
Springer
Abstract. In this paper we propose a novel non-Gaussian MRF for regularization of tensor fields for fiber tract enhancement. Two entities are considered in the model, namely, the l...
ICIAR
2009
Springer
14 years 2 months ago
2009
Springer
Over the past decades, considerable progress had been made in developing automatic image interpretation tools for remote sensing. There is, however, still a gap between the require...