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» A probabilistic framework for image segmentation
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MICCAI
2008
Springer
14 years 9 months ago
Active Volume Models with Probabilistic Object Boundary Prediction Module
We propose a novel Active Volume Model (AVM) which deforms in a free-form manner to minimize energy. Unlike Snakes and level-set active contours which only consider curves or surfa...
Tian Shen, Yaoyao Zhu, Xiaolei Huang, Junzhou H...
ISBI
2007
IEEE
14 years 2 months ago
Lesion Detection in Noisy Mr Brain Images Using Constrained Gmm and Active Contours
This paper focuses on the detection and segmentation of multiple sclerosis (MS) lesions in magnetic resonance images. The proposed method performs healthy tissue segmentation usin...
Oren Freifeld, Hayit Greenspan, Jacob Goldberger
MICCAI
2009
Springer
14 years 9 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
1997
IEEE
14 years 9 months ago
An Optimization Approach to Unsupervised Hierarchical Texture Segmentation
In this paper we introduce a novel optimization framework for hierarchical data clustering and apply it to the problem of unsupervised texture segmentation. The proposed objective...
Thomas Hofmann, Jan Puzicha, Joachim M. Buhmann
ECCV
2004
Springer
14 years 9 months ago
Interpolating Novel Views from Image Sequences by Probabilistic Depth Carving
Abstract. We describe a novel approach to view interpolation from image sequences based on probabilistic depth carving. This builds a multivalued representation of depth for novel ...
Annie Yao, Andrew Calway