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» Nonconvex Regularization for Image Segmentation
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ECCV
2000
Springer
14 years 9 months ago
Coupled Geodesic Active Regions for Image Segmentation: A Level Set Approach
Abstract. This paper presents anovel variational method forimage segmentation that uni es boundary and region-based information sources under the Geodesic Active Region framework. ...
Nikos Paragios, Rachid Deriche
JGAA
2007
124views more  JGAA 2007»
13 years 7 months ago
Simultaneous Border Segmentation of Doughnut-Shaped Objects in Medical Images
Image segmentation with specific constraints has found applications in several areas such as biomedical image analysis and data mining. In this paper, we study the problem of sim...
Xiaodong Wu, Michael B. Merickel
MICCAI
2000
Springer
13 years 11 months ago
Segmentation by Adaptive Geodesic Active Contours
This paper introduces the use of spatially adaptive components into the geodesic active contour segmentation method for application to volumetric medical images. These components a...
Carl-Fredrik Westin, Liana M. Lorigo, Olivier D. F...
CVPR
2010
IEEE
1135views Computer Vision» more  CVPR 2010»
14 years 3 months ago
Towards Weakly Supervised Semantic Segmentation by Means of Multiple Instance and Multitask Learning.
We address the task of learning a semantic segmentation from weakly supervised data. Our aim is to devise a system that predicts an object label for each pixel by making use of on...
Alexander Vezhnevets, Joachim Buhmann
SCIA
2009
Springer
161views Image Analysis» more  SCIA 2009»
14 years 2 months ago
A Fast Optimization Method for Level Set Segmentation
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
Thord Andersson, Gunnar Läthén, Reiner...