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» Unseeded Region Growing for 3D Image Segmentation
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ICCV
2009
IEEE
16 years 10 months ago
Decomposing a Scene into Geometric and Semantically Consistent Regions
High-level, or holistic, scene understanding involves reasoning about objects, regions, and the 3D relationships between them. This requires a representation above the level of ...
Stephen Gould, Richard Fulton, Daphne Koller
SMI
2008
IEEE
147views Image Analysis» more  SMI 2008»
15 years 12 months ago
Robust segmentation of voxel shapes using medial surfaces
We present a new method for robustly decomposing a 3D voxel shape into disjoint segments using the medial surface, also called surface skeleton. The boundaries of the simplified ...
Dennie Reniers, Alexandru Telea
MICCAI
2003
Springer
16 years 6 months ago
A Statistically Based Surface Evolution Method for Medical Image Segmentation: Presentation and Validation
Abstract. In this paper we present a new algorithm for 3D medical image segmentation. The algorithm is fast, relatively simple to implement, and semi-automatic. It is based on mini...
Eric Pichon, Allen Tannenbaum, Ron Kikinis
CVPR
2007
IEEE
16 years 7 months ago
A Surface-Growing Approach to Multi-View Stereo Reconstruction
We present a new approach to reconstruct the shape of a 3D object or scene from a set of calibrated images. The central idea of our method is to combine the topological flexibilit...
Martin Habbecke, Leif Kobbelt
ICIP
2009
IEEE
16 years 6 months ago
Segmentation Of Trabecular Bones From Vertebral Bodies In Volumetric Ct Spine Images
We present a 3D segmentation technique of trabecular (cancellous) bones in CT images of Vertebral bodies (VBs). In order to be used for Bone Mineral Density (BMD) measurements, th...