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ICCV
2009
IEEE
16 years 8 months ago
Scene Shape Priors for Superpixel Segmentation
Unsupervised over-segmentation of an image into superpixels is a common preprocessing step for image parsing algorithms. Superpixels are used as both regions of support for feat...
Alastair P. Moore, Simon J. D. Prince, Jonathan Wa...
3DPVT
2006
IEEE
203views Visualization» more  3DPVT 2006»
15 years 9 months ago
Graph Cut Based Multiple View Segmentation for 3D Reconstruction
In this paper we propose a novel framework for efficiently extracting foreground objects in so called shortbaseline image sequences. We apply the obtained segmentation to improve...
Mario Sormann, Christopher Zach, Konrad F. Karner
HISB
2011
111views more  HISB 2011»
14 years 2 months ago
Spinal Cord Segmentation for Volume Estimation in Healthy and Multiple Sclerosis Subjects Using Crawlers and Minimal Paths
—Spinal cord analysis is an important problem in the study of various neurological diseases. Current segmentation and analysis methods in clinical use are slow and laborintensive...
Chris McIntosh, Ghassan Hamarneh, Matthew Toom, Ro...
MMSEC
2004
ACM
145views Multimedia» more  MMSEC 2004»
15 years 8 months ago
Improving LSB steganalysis using marginal and joint probabilistic distributions
The goal of steganalysis is to search for the presence of hidden information in numerical contents. This paper is based on a previous LSB steganalysis scheme for digital images th...
Benoit Roue, Patrick Bas, Jean-Marc Chassery
ISBI
2007
IEEE
15 years 9 months ago
Automatic Segmentation of Coronary Arteries Using Bayesian Driven Implicit Surfaces
In this paper, we propose a hybrid approach for the automatic three-dimensional segmentation of coronary arteries using multi-scale vessel filtering and a Bayesian probabilistic ...
Yan Yang, Allen Tannenbaum, Don P. Giddens, Arthur...