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» A statistical framework for DTI segmentation
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ISBI
2008
IEEE
14 years 9 months ago
Segmentation of fetal 3D ultrasound based on statistical prior and deformable model
A statistical variational framework is proposed for the fetus and uterus segmentation in ultrasound images. The Rayleigh and exponential distributions are used to model the pixel ...
Jérémie Anquez, Elsa D. Angelini, Is...
ICCV
2003
IEEE
14 years 1 months ago
Natural Image Statistics for Natural Image Segmentation
Building on recent progress in modeling filter response statistics of natural images we integrate a statistical model into a variational framework for image segmentation. Incorpo...
Matthias Heiler, Christoph Schnörr
IJCV
2002
232views more  IJCV 2002»
13 years 8 months ago
Diffusion Snakes: Introducing Statistical Shape Knowledge into the Mumford-Shah Functional
We present a modification of the Mumford-Shah functional and its cartoon limit which facilitates the incorporation of a statistical prior on the shape of the segmenting contour. By...
Daniel Cremers, Florian Tischhäuser, Joachim ...
ISBI
2004
IEEE
14 years 9 months ago
Anatomical Guided Segmentation with Non-Stationary Tissue Class Distributions in an Expectation-Maximization Framework
High quality segmentation of brain MR images is a challenging task. To deal with this problem many automatic segmentation methods rely on atlas information of anatomical structure...
Kilian M. Pohl, W. Eric L. Grimson, Sylvain Bouix,...
SIP
2007
13 years 10 months ago
A variational segmentation framework using active contours and thresholding
Segmentation involves separating distinct regions in an image. In this note, we present a novel variational approach to perform this task. We propose an energy functional that nat...
Samuel Dambreville, Marc Niethammer, Anthony J. Ye...