417 search results - page 51 / 84 » Supervised Image Segmentation Using Markov Random Fields |
IVC
1998
14 years 11 months ago
1998
A statistical model to segment clinical magnetic resonance (MR) images in the presence of noise and intensity inhomogeneities is proposed. Inhomogeneities are considered to be mul...
ICIP
2006
IEEE
16 years 1 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...
MICCAI
2009
Springer
16 years 29 days ago
2009
Springer
A new algorithm is presented for the automatic segmentation and classification of brain tissue from 3D MR scans. It uses discriminative Random Decision Forest classification and ta...
107
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ICCV
2007
IEEE
16 years 1 months ago
2007
IEEE
We consider the problem of estimating detailed 3-d structure from a single still image of an unstructured environment. Our goal is to create 3-d models which are both quantitative...
112
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ECCV
2010
Springer
14 years 12 months ago
2010
Springer
Abstract. In this paper we introduce a new salient object segmentation method, which is based on combining a saliency measure with a conditional random field (CRF) model. The propo...