13 search results - page 1 / 3 » Image Segmentation Using Markov Random Field Model in Fully ... |
RTI
2000
13 years 4 months ago
2000
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...
FGR
2008
IEEE
13 years 11 months ago
2008
IEEE
This paper presents an algorithm for measuring hair and face appearance in 2D images. Our approach starts by using learned mixture models of color and location information to sugg...
3DOR
2008
13 years 7 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...
ICDAR
2007
IEEE
13 years 11 months ago
2007
IEEE
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...