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» A Fast Optimization Method for Level Set Segmentation
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CEAS
2007
Springer
15 years 3 months ago
Online Active Learning Methods for Fast Label-Efficient Spam Filtering
Active learning methods seek to reduce the number of labeled examples needed to train an effective classifier, and have natural appeal in spam filtering applications where trustwo...
D. Sculley
ICIP
2003
IEEE
16 years 1 months ago
PDE-based modeling of image segmentation using volumic flooding
The classical case of morphological segmentation is based on the watershed transform, constructed by flooding the gradient image, which is seen as a topographic surface, with cons...
Anastasia Sofou, Petros Maragos
SCALESPACE
1999
Springer
15 years 4 months ago
Fast Geodesic Active Contours
—We use an unconditionally stable numerical scheme to implement a fast version of the geodesic active contour model. The proposed scheme is useful for object segmentation in imag...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...
CVPR
2009
IEEE
16 years 6 months ago
Active Volume Models for 3D Medical Image Segmentation
In this paper, we propose a novel predictive model for object boundary, which can integrate information from any sources. The model is a dynamic “object” model whose manifes...
Tian Shen (Lehigh University), Hongsheng Li (Lehig...
GBRPR
2007
Springer
15 years 5 months ago
Hierarchy Construction Schemes Within the Scale Set Framework
Segmentation algorithms based on an energy minimisation framework often depend on a scale parameter which balances a fit to data and a regularising term. Irregular pyramids are de...
Jean-Hugues Pruvot, Luc Brun