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» 3D Vertebrae Segmentation in CT Images with Random Noises
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AUSAI
2009
Springer
13 years 11 months ago
Information-Theoretic Image Reconstruction and Segmentation from Noisy Projections
The minimum message length (MML) principle for inductive inference has been successfully applied to image segmentation where the images are modelled by Markov random fields (MRF)....
Gerhard Visser, David L. Dowe, Imants D. Svalbe
SMA
2006
ACM
150views Solid Modeling» more  SMA 2006»
13 years 10 months ago
Conformal virtual colon flattening
We present an efficient colon flattening algorithm using conformal structure, which is angle-preserving and minimizes the global distortion. Moreover, our algorithm is general w...
Wei Hong, Xianfeng Gu, Feng Qiu, Miao Jin, Arie E....
SMA
2008
ACM
396views Solid Modeling» more  SMA 2008»
13 years 4 months ago
Fast mesh segmentation using random walks
3D mesh models are now widely available for use in various applications. The demand for automatic model analysis and understanding is ever increasing. Mesh segmentation is an impo...
Yu-Kun Lai, Shi-Min Hu, Ralph R. Martin, Paul L. R...
CVPR
2006
IEEE
14 years 6 months ago
Structure and View Estimation for Tomographic Reconstruction: A Bayesian Approach
This paper addresses the problem of reconstructing the density of a scene from multiple projection images produced by modalities such as x-ray, electron microscopy, etc. where an ...
Satya P. Mallick, Sameer Agarwal, David J. Kriegma...
CVBIA
2005
Springer
13 years 10 months ago
Distance-Intensity for Image Registration
In this paper, a novel one-element voxel attribute, namely distance-intensity (DI), is defined for associating spatial information with image intensity for registration tasks. For...
Rui Gan, Albert C. S. Chung