99 search results - page 2 / 20 » Pairwise Markov Random Fields and its Application in Texture... |
IVC
2006
13 years 4 months ago
2006
CAIP
2001
Springer
13 years 9 months ago
2001
Springer
In this paper, we propose a Markov random field (MRF) image segmentation model which aims at combining color and texture features. The theoretical framework relies on Bayesian est...
Publication
Drawbacks of the traditional scenario of image modeling by Gibbs random fields with multiple pairwise pixel interactions are outlined, and a more reasonable alternative scenario b...
CVPR
2001
IEEE
14 years 7 months ago
2001
IEEE
Texture replacement in real images has many applications, such as interior design, digital movie making and computer graphics. The goal is to replace some specified texture patter...
ICPR
2000
IEEE
13 years 9 months ago
2000
IEEE
This paper looks at the nonparametric, multiscale, Markov Random Field (MRF) model and its application in classifying the MeasTex Test Suite. The MeasTex Test Suite is a standard ...