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» Geodesic Active Contours for Supervised Texture Segmentation
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102
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PREMI
2005
Springer
15 years 5 months ago
Globally Optimal 3D Image Reconstruction and Segmentation Via Energy Minimisation Techniques
This paper provides an overview of a number of techniques developed within our group to perform 3D reconstruction and image segmentation based of the application of energy minimisa...
Brian C. Lovell
ICIP
2003
IEEE
16 years 1 months ago
Wavelet-based level set evolution for classification of textured images
We present a supervised classification model based on a variational approach. This model is specifically devoted to textured images. We want to get a partition of an image, compos...
Jean-François Aujol, Gilles Aubert, Laure B...
94
Voted
MICCAI
2009
Springer
16 years 1 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....
115
Voted
CVPR
2007
IEEE
16 years 2 months ago
Segmenting Images on the Tensor Manifold
In this note, we propose a method to perform segmentation on the tensor manifold, that is, the space of positive definite matrices of given dimension. In this work, we explicitly ...
Yogesh Rathi, Allen Tannenbaum, Oleg V. Michailovi...
109
Voted
TIP
2008
116views more  TIP 2008»
15 years 7 days ago
Self-Repelling Snakes for Topology-Preserving Segmentation Models
The implicit framework of the level-set method has several advantages when tracking propagating fronts. Indeed, the evolving contour is embedded in a higher dimensional level-set f...
Carole Le Guyader, Luminita A. Vese