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ICIP
1994
IEEE
15 years 2 months ago
Active Region Models for Segmenting Medical Images
This paper describes a new region-growing method for segmenting medical images. The method uses a closed snake driven by a pressure force that is a function of the statistical cha...
Jim Ivins, John Porrill
ECCV
2006
Springer
16 years 26 days ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker
MIA
2011
170views more  MIA 2011»
14 years 5 months ago
Robust statistical shape models for MRI bone segmentation in presence of small field of view
Accurate bone modeling from medical images is essential in the diagnosis and treatment of patients because it supports the detection of abnormal bone morphology, which is often re...
Jérôme Schmid, Jinman Kim, Nadia Magn...
ECCV
2006
Springer
16 years 26 days ago
Cyclostationary Processes on Shape Spaces for Gait-Based Recognition
Abstract. We present a geometric and statistical approach to gaitbased human recognition. The novelty here is to consider observations of gait, considered as planar silhouettes, to...
David Kaziska, Anuj Srivastava
SCIA
2005
Springer
182views Image Analysis» more  SCIA 2005»
15 years 4 months ago
Complex Correlation Statistic for Dense Stereoscopic Matching
A traditional solution of area-based stereo uses some kind of windowed pixel intensity correlation. This approach suffers from discretization artifacts which corrupt the correlat...
Jan Cech, Radim Sára