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MICCAI
2007
Springer
15 years 11 months ago
Active-Contour-Based Image Segmentation Using Machine Learning Techniques
Abstract. We introduce a non-linear shape prior for the deformable model framework that we learn from a set of shape samples using recent manifold learning techniques. We model a c...
Patrick Etyngier, Florent Ségonne, Renaud K...
ICRA
2005
IEEE
178views Robotics» more  ICRA 2005»
15 years 3 months ago
Supervised Multispectral Image Segmentation using Active Contours
— Active contours have been widely used as image segmentation methods. The use of level set theory has provided more flexibility and convenience for the implementation of active...
Cheolha Pedro Lee, Wesley E. Snyder, Cliff Wang
MICCAI
2009
Springer
15 years 11 months ago
Depth Data Improves Skin Lesion Segmentation
This paper shows that adding 3D depth information to RGB colour images improves segmentation of pigmented and non-pigmented skin lesion. A regionbased active contour segmentation ...
Xiang Li, Ben Aldridge, Lucia Ballerini, Robert B....
ICIP
2006
IEEE
15 years 11 months ago
Diffusion on Statistical Manifolds
This paper presents a new diffusion scheme on statistical manifolds for the detection of texture boundaries. The technique derives from our previous work, in which 2-dimensional R...
Sang-Mook Lee, A. Lynn Abbott, Neil A. Clark, Phil...
ICCV
1999
IEEE
15 years 2 months ago
Geodesic Active Regions for Supervised Texture Segmentation
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
Nikos Paragios, Rachid Deriche