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» Level Set Methods for Watershed Image Segmentation
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ICIAR
2010
Springer
13 years 6 months ago
Image Segmentation for Robots: Fast Self-adapting Gaussian Mixture Model
Image segmentation is a critical low-level visual routine for robot perception. However, most image segmentation approaches are still too slow to allow real-time robot operation. I...
Nicola Greggio, Alexandre Bernardino, José ...
ICPR
2010
IEEE
14 years 8 days ago
An LDA-Based Relative Hysteresis Classifier with Application to Segmentation of Retinal Vessels
In a pattern classification setup, image segmentation is achieved by assigning each pixel to one of two classes: object or background. The special case of vessel segmentation is c...
Alexandru Paul Condurache, Alfred Mertins
CVPR
2005
IEEE
14 years 11 months ago
Simultaneous Modeling and Tracking (SMAT) of Feature Sets
A novel method for the simultaneous modeling and tracking (SMAT) of a feature set during motion sequence is proposed. The method requires no prior information. Instead the a poste...
N. D. H. Dowson, Richard Bowden
CVPR
2009
IEEE
14 years 6 days ago
Robust unsupervised segmentation of degraded document images with topic models
Segmentation of document images remains a challenging vision problem. Although document images have a structured layout, capturing enough of it for segmentation can be difficult....
Timothy J. Burns, Jason J. Corso
PAMI
2006
181views more  PAMI 2006»
13 years 9 months ago
Optimal Surface Segmentation in Volumetric Images-A Graph-Theoretic Approach
Efficient segmentation of globally optimal surfaces representing object boundaries in volumetric data sets is important and challenging in many medical image analysis applications....
Kang Li, Xiaodong Wu, Danny Z. Chen, Milan Sonka