914 search results - page 16 / 183 » Learning to Segment |
CIARP
2007
Springer
14 years 4 months ago
2007
Springer
Segmentation through seeded region growing is widely used because it is fast, robust and free of tuning parameters. However, the seeded region growing algorithm requires an automat...
PR
2007
13 years 9 months ago
2007
In this paper, we propose a robust incremental learning framework for accurate skin region segmentation in real-life images. The proposed framework is able to automatically learn ...
CVBIA
2005
Springer
14 years 3 months ago
2005
Springer
In this paper we present a new framework for image segmentation using probabilistic multinets. We apply this framework to integration of regionbased and contour-based segmentation ...
ECCV
2006
Springer
14 years 11 months ago
2006
Springer
Abstract. Foreground and background segmentation is a typical problem in computer vision and medical imaging. In this paper, we propose a new learning based approach for 3D segment...
ICDAR
2003
IEEE
14 years 3 months ago
2003
IEEE
This article describes a new segmentation by thresholding approach based on learning. The method consists in learning to threshold correctly submitting both an image and its ideal...