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CVPR
1999
IEEE
1104views Computer Vision» more  CVPR 1999»
14 years 6 months ago
Geodesic Active Contours for Supervised Texture Segmentation
This paper presents a variational method for supervised texture segmentation, which is based on ideas coming from the curve propagation theory. We assume that a preferable texture...
Nikos Paragios, Rachid Deriche
ICIP
2005
IEEE
14 years 6 months ago
An automatic segmentation of color images by using a combination of mixture modelling and adaptive region information: a level s
In this paper, we propose a novel automatic framework for variational color image segmentation based on unifying adaptive region information and mixture modelling. We consider a f...
Mohand Saïd Allili, Djemel Ziou
CVPR
2000
IEEE
14 years 6 months ago
Codimension - Two Geodesic Active Contours for the Segmentation of Tubular Structures
Curve evolution schemes for segmentation, implemented with level set methods, have become an important approach in computer vision. Previous work has modeled evolving contours whi...
Liana M. Lorigo, W. Eric L. Grimson, Olivier D. Fa...
CVPR
2000
IEEE
13 years 8 months ago
Statistical Shape Influence in Geodesic Active Contours
A novel method of incorporating shape information into the image segmentation process is presented. We introduce a representation for deformable shapes and define a probability di...
Michael E. Leventon, W. Eric L. Grimson, Olivier D...
APIN
2007
172views more  APIN 2007»
13 years 5 months ago
A genetically optimized level set approach to segmentation of thyroid ultrasound images
This paper presents a novel framework for thyroid ultrasound image segmentation that aims to accurately delineate thyroid nodules. This framework, named GA-VBAC incorporates a leve...
Dimitrios K. Iakovidis, Michalis A. Savelonas, Sta...