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» A probabilistic framework for image segmentation
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ISBI
2007
IEEE
14 years 2 months ago
Automated Segmentation of the Right Heart Using an Optimized Shells and Spheres Algorithm
We have developed a novel framework for medical image analysis, known as Shells and Spheres. This framework utilizes spherical operators of variable radius centered at each image ...
Aaron Cois, Ken J. Rockot, John M. Galeotti, Rober...
PAMI
2008
188views more  PAMI 2008»
13 years 7 months ago
Segmentation and Tracking of Multiple Humans in Crowded Environments
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image observations...
Tao Zhao, Ramakant Nevatia, Bo Wu
MICCAI
2005
Springer
14 years 8 months ago
A Unifying Approach to Registration, Segmentation, and Intensity Correction
We present a statistical framework that combines the registration of an atlas with the segmentation of magnetic resonance images. We use an Expectation Maximization-based algorithm...
Kilian M. Pohl, John W. Fisher III, James J. Levit...
CVIU
2004
115views more  CVIU 2004»
13 years 7 months ago
Context-dependent segmentation and matching in image databases
The content of an image can be summarized by a set of homogeneous regions in an appropriate feature space. When exact shape is not important, the regions can be represented by sim...
Hayit Greenspan, Guy Dvir, Yossi Rubner
ECCV
2004
Springer
14 years 9 months ago
Interactive Image Segmentation Using an Adaptive GMMRF Model
The problem of interactive foreground/background segmentation in still images is of great practical importance in image editing. The state of the art in interactive segmentation is...
Andrew Blake, Carsten Rother, M. Brown, Patrick P&...