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» Shape-Based Image Segmentation Using Normalized Cuts
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MICCAI
2009
Springer
15 years 10 months ago
A Generic Probabilistic Active Shape Model for Organ Segmentation
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
Andreas Wimmer, Grzegorz Soza, Joachim Hornegger
ISBI
2007
IEEE
15 years 3 months ago
Noise and Artifact Removal in Knife-Edge Scanning Microscopy
Knife-Edge Scanning Microscopy (KESM) is a recently developed technique that allows fast and automated imaging of several hundred cubic millimeters of tissue at sub-micron resolut...
David Mayerich, Bruce H. McCormick, John Keyser
93
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EGITALY
2006
14 years 11 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...
CVPR
2011
IEEE
14 years 5 months ago
Making the Right Moves: Guiding Alpha-Expansion using Local Primal-Dual Gaps
This paper presents a new adaptive graph-cut based move-making algorithm for energy minimization. Traditional move-making algorithms such as Expansion and Swap operate by searchin...
Dhruv Batra, Pushmeet Kohli
CVPR
2008
IEEE
15 years 11 months ago
Clothing cosegmentation for recognizing people
Reseachers have verified that clothing provides information about the identity of the individual. To extract features from the clothing, the clothing region first must be localize...
Andrew C. Gallagher, Tsuhan Chen