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» A Segmentation Algorithm for Noisy Images
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ECCV
2010
Springer
13 years 10 months ago
Object Recognition with Hierarchical Stel Models
Abstract. We propose a new generative model, and a new image similarity kernel based on a linked hierarchy of probabilistic segmentations. The model is used to efficiently segment ...
Alessandro Perina, Nebojsa Jojic, Umberto Castella...

Source Code
1236views
15 years 9 months ago
Itk - The Insight Toolkit
ITK is an open-source, cross-platform system that provides developers with an rich algorithms for image analysis. ITK employs the state-of-the-art algorithms for registering and s...
MICCAI
2003
Springer
14 years 10 months ago
A New Brain Segmentation Framework
We present a new brain segmentation framework which we apply to T1-weighted magnetic resonance image segmentation. The innovation of the algorithm in comparison to the state-of-the...
Torsten Butz, Patric Hagmann, Eric Tardif, Reto Me...
3DPVT
2004
IEEE
181views Visualization» more  3DPVT 2004»
14 years 1 months ago
Segmenting Correlation Stereo Range Images using Surface Elements
This paper describes methods for segmenting planar surfaces from noisy 3D data obtained from correlation stereo vision. We make use of local planar surface elements called patchle...
Don Murray, James J. Little
ISVC
2007
Springer
14 years 3 months ago
SketchSurfaces: Sketch-Line Initialized Deformable Surfaces for Efficient and Controllable Interactive 3D Medical Image Segmenta
We present an intuitive, fast and accurate interactive segmentation method for visualizing and analyzing 3D medical images. Our method combines a general deformable subdivision-sur...
Meisam Aliroteh, Tim McInerney