246 search results - page 31 / 50 » Document Image Binarisation Using Markov Field Model |
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
Dimensionality reduction, spectral classification and segmentation are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation appr...
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We study the cosegmentation problem where the objective
is to segment the same object (i.e., region) from a pair
of images. The segmentation for each image can be cast
using a p...
ICML
2005
IEEE
14 years 8 months ago
2005
IEEE
We present a variational Bayesian framework for performing inference, density estimation and model selection in a special class of graphical models--Hidden Markov Random Fields (H...
MICCAI
2002
Springer
14 years 8 months ago
2002
Springer
Abstract. We propose a deep study on tissue modelization and classification Techniques on T1-weighted MR images. Three approaches have been taken into account to perform this valid...
ESANN
2006
13 years 9 months ago
2006
Spectral classification, segmentation and data reduction are the three main problems in hyperspectral image analysis. In this paper we propose a Bayesian estimation approach which ...