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» Level Set Methods for Watershed Image Segmentation
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ICPR
2010
IEEE
13 years 12 months ago
Automatic Diagnosis of Masses by Using Level Set Segmentation and Shape Description
We present here an approach for automatic mass diagnosis in mammographic images. Our strategy contains three main steps. Firstly, region of interests containing mass and background...
Arnau Oliver, Albert Torrent, Xavier Llado, Joan M...
BMVC
2010
13 years 6 months ago
Diffusion-based Regularisation Strategies for Variational Level Set Segmentation
Variational level set methods are formulated as energy minimisation problems, which are often solved by gradient-based optimisation methods, such as gradient descent. Unfortunatel...
Maximilian Baust, Darko Zikic, Nassir Navab
DAGM
2006
Springer
14 years 14 days ago
Exploiting Low-Level Image Segmentation for Object Recognition
Abstract. A method for exploiting the information in low-level image segmentations for the purpose of object recognition is presented. The key idea is to use a whole ensemble of se...
Volker Roth, Björn Ommer
CRV
2006
IEEE
114views Robotics» more  CRV 2006»
14 years 2 months ago
Generic Detection of Multi-Part Objects by High-Level Analysis
A method is proposed to detect multi-part man-made or natural objects in complex images. It consists in first extracting simple curves and straight lines from the edge map. Then,...
Jean-Francois Bernier, Robert Bergevin
ISM
2006
IEEE
277views Multimedia» more  ISM 2006»
13 years 8 months ago
Efficient Bottom-Up Image Segmentation Using Region Competition and the Mumford-Shah Model for Color and Textured Images
Curve evolution implementations [3][23] [25] of the Mumford-Shah functional [16] are of broad interest in image segmentation. These implementations, however, have initialization p...
Yongsheng Pan, J. Douglas Birdwell, Seddik M. Djou...