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CAIP
2001
Springer
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13 years 9 months ago
A Markov Random Field Image Segmentation Model Using Combined Color and Texture Features
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...
Zoltan Kato, Ting-Chuen Pong
ACCV
2006
Springer
13 years 10 months ago
A Multi-Layer MRF Model for Video Object Segmentation
A novel video object segmentation method is proposed which aims at combining color and motion information. The model has a multilayer structure: Each feature has its own layer, cal...
Zoltan Kato, Ting-Chuen Pong
ICPR
2002
IEEE
14 years 5 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
ICIP
2006
IEEE
14 years 6 months ago
Image Segmentation Model using Active Contour and Image Decomposition
This paper proposes an image segmentation model based on the active contour model, the Mumford-Shah functional and the image decomposition process. Generally speaking, the active ...
Xavier Bresson, Jean-Philippe Thiran