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» Geometric segmentation of 3D structures
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ICPR
2006
IEEE
16 years 23 days ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
EGITALY
2006
15 years 1 months ago
3D Data Segmentation Using a Non-Parametric Density Estimation Approach
In this paper, a new segmentation approach for sets of 3D unorganized points is proposed. The method is based on a clustering procedure that separates the modes of a non-parametri...
Umberto Castellani, Marco Cristani, Vittorio Murin...
ISBI
2008
IEEE
16 years 12 days ago
Medial-based Bayesian tracking for vascular segmentation: Application to coronary arteries in 3D CT angiography
We propose a new Bayesian, stochastic tracking algorithm for the segmentation of blood vessels from 3D medical image data. Inspired by the recent developments in particle filterin...
David Lesage, Elsa D. Angelini, Isabelle Bloch, Ga...
TMI
2002
147views more  TMI 2002»
14 years 11 months ago
Cortex Segmentation - A Fast Variational Geometric Approach
An automatic cortical gray matter segmentation from a three-dimensional (3-D) brain images [magnetic resonance (MR) or computed tomography] is a well known problem in medical image...
Roman Goldenberg, Ron Kimmel, Ehud Rivlin, Michael...
CORR
2010
Springer
215views Education» more  CORR 2010»
14 years 6 months ago
Affine-invariant diffusion geometry for the analysis of deformable 3D shapes
We introduce an (equi-)affine invariant diffusion geometry by which surfaces that go through squeeze and shear transformations can still be properly analyzed. The definition of an...
Daniel Raviv, Alexander M. Bronstein, Michael M. B...