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» Unseeded Region Growing for 3D Image Segmentation
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ICCV
2009
IEEE
15 years 18 days 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»
14 years 2 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
14 years 8 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
14 years 9 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
14 years 8 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...