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ICPR
2002
IEEE
14 years 9 months ago
Multicue MRF Image Segmentation: Combining Texture and Color Features
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...
Zoltan Kato, Ting-Chuen Pong, Song Guo Qiang
MICCAI
2002
Springer
14 years 8 months ago
Recognizing Deviations from Normalcy for Brain Tumor Segmentation
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...
David T. Gering, W. Eric L. Grimson, Ron Kikinis
CVPR
2010
IEEE
14 years 4 months ago
Vessel Scale Selection using MRF Optimization
Many feature detection algorithms rely on the choice of scale. In this paper, we complement standard scaleselection algorithms with spatial regularization. To this end, we formula...
Hengameh Mirzaalian, Ghassan Hamarneh
ICCV
2011
IEEE
12 years 7 months ago
Understanding Scenes on Many Levels
This paper presents a framework for image parsing with multiple label sets. For example, we may want to simultaneously label every image region according to its basiclevel object ...
Joseph Tighe, Svetlana Lazebnik
ICIP
1998
IEEE
14 years 9 months ago
Lip Features Automatic Extraction
An algorithm for speaker's lip segmentation and features extraction is presented in this paper. A color video sequence of speaker's face is acquired, under natural light...
Franck Luthon, Marc Liévin