477 search results - page 30 / 96 » Modeling Image Textures by Gibbs Random Fields |
110
Voted
CVPR
2007
IEEE
16 years 2 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...
122
Voted
EMMCVPR
1999
Springer
15 years 4 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
1994
IEEE
16 years 2 months ago
1994
IEEE
This paper presents a joint strategy for parameter estimation of Markov Random Field (MRF) model and image restoration. The proposed scheme is an unsupervised one in the sense tha...
124
click to vote
CISIS
2008
IEEE
15 years 7 months ago
2008
IEEE
Liver segmentation from scans of the abdominal area is an important step in several diagnostic processes. CT scans of the abdominal area contain several organs in close proximity ...
133
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VISUALIZATION
2005
IEEE
15 years 6 months ago
2005
IEEE
We propose a hybrid particle and texture based approach for the visualization of time-dependent vector fields. The underlying spacetime framework builds a dense vector field rep...