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» Improved Block-Based Image Segmentation
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ECCV
2004
Springer
16 years 4 months ago
Learning to Segment
Abstract. We describe a new approach for learning to perform classbased segmentation using only unsegmented training examples. As in previous methods, we first use training images ...
Eran Borenstein, Shimon Ullman
138
Voted
CVPR
2007
IEEE
16 years 4 months ago
Shape Statistics for Image Segmentation with Prior
We propose a new approach to compute non-linear, intrinsic shape statistics and to incorporate them into a shape prior for an image segmentation task. Given a sample set of contou...
Guillaume Charpiat, Olivier D. Faugeras, Renaud Ke...
115
Voted
ICAPR
2005
Springer
15 years 8 months ago
Weighted Adaptive Neighborhood Hypergraph Partitioning for Image Segmentation
Abstract. The aim of this paper is to present an improvement of a previously published algorithm. The proposed approach is performed in two steps. In the first step, we generate t...
Soufiane Rital, Hocine Cherifi, Serge Miguet
MICCAI
2010
Springer
15 years 1 months ago
Spatial Decision Forests for MS Lesion Segmentation in Multi-Channel MR Images
Abstract. A new algorithm is presented for the automatic segmentation of Multiple Sclerosis (MS) lesions in 3D MR images. It builds on the discriminative random decision forest fra...
Ezequiel Geremia, Bjoern H. Menze, Olivier Clatz, ...
117
Voted
IBPRIA
2007
Springer
15 years 8 months ago
Bayesian Hyperspectral Image Segmentation with Discriminative Class Learning
Abstract. This paper presents a new Bayesian approach to hyperspectral image segmentation that boosts the performance of the discriminative classifiers. This is achieved by combin...
Janete S. Borges, José M. Bioucas-Dias, And...