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DAGM
2006
Springer
15 years 10 months ago
A Probabilistic Multi-phase Model for Variational Image Segmentation
Abstract. Recently, the Phase Field Method has shown to be a powerful tool for variational image segmentation. In this paper, we present a novel multi-phase model for probability b...
Thomas Pock, Horst Bischof
PRL
1998
98views more  PRL 1998»
15 years 6 months ago
Density propagation for surface tracking
This paper describes a novel approach to surface tracking in volumetric image stacks. It draws on a statistical model of the uncertainties inherent in the characterisation of feat...
Nigel G. Sharp, Edwin R. Hancock
ICPR
2002
IEEE
16 years 7 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
ICDAR
2009
IEEE
16 years 1 months ago
Character-SIFT: A Novel Feature for Offline Handwritten Chinese Character Recognition
SIFT descriptor has been widely applied in computer vision and object recognition, but has not been explored in the field of handwritten Chinese character recognition. In this pap...
Zhiyi Zhang, Lianwen Jin, Kai Ding, Xue Gao
IJCNN
2008
IEEE
16 years 25 days ago
Multifractal feature vectors for Brain-Computer interfaces
—This article introduces a new feature vector extraction for EEG signals using multifractal analysis. The validity of the approach is asserted on real data sets from the BCI comp...
Nicolas Brodu