417 search results - page 20 / 84 » Supervised Image Segmentation Using Markov Random Fields |
112
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ICPR
2002
IEEE
16 years 28 days ago
2002
IEEE
Herein, we propose a new Markov random field (MRF) image segmentation model which aims at combining color and texture features. The model has a multi-layer structure: Each feature...
110
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ICIP
2001
IEEE
16 years 1 months ago
2001
IEEE
This paper proposes some Markov Random Field (MRF) models for restoration of stereo disparity maps. The main aspect is the use of confidence maps provided by the Symmetric Multipl...
110
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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 ...
MICCAI
2002
Springer
16 years 22 days ago
2002
Springer
A framework is proposed for the segmentation of brain tumors from MRI. Instead of training on pathology, the proposed method trains exclusively on healthy tissue. The algorithm att...
ICIP
2010
IEEE
14 years 9 months ago
2010
IEEE
In this paper, we propose to use 3D information to augment the Markov random field (MRF) model for object recognition. Conventional MRF for image-based object recognition usually ...