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» Bayesian Image Segmentation Using Wavelet-Based Priors
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CVPR
2011
IEEE
14 years 1 months ago
Nonlinear Shape Manifolds as Shape Priors in Level Set Segmentation and Tracking
We propose a novel nonlinear, probabilistic and variational method for adding shape information to level setbased segmentation and tracking. Unlike previous work, we represent sha...
Victor Prisacariu, Ian Reid
GECCO
2006
Springer
226views Optimization» more  GECCO 2006»
15 years 1 months ago
Segmentation of medical images using a genetic algorithm
Segmentation of medical images is challenging due to poor image contrast and artifacts that result in missing or diffuse organ/tissue boundaries. Consequently, this task involves ...
Payel Ghosh, Melanie Mitchell
SCALESPACE
2007
Springer
15 years 3 months ago
Towards Segmentation Based on a Shape Prior Manifold
Incorporating shape priors in image segmentation has become a key problem in computer vision. Most existing work is limited to a linearized shape space with small deformation modes...
Patrick Etyngier, Renaud Keriven, Jean-Philippe Po...
ISBI
2008
IEEE
15 years 10 months ago
Tracking of cells in a sequence of images using a low-dimension image representation
We propose a new image analysis method to segment and track cells in a growing colony. By using an intermediate low-dimension image representation yielded by a reliable over-segme...
Alice Demarez, Ariel B. Lindner, François T...
ECCV
2004
Springer
15 years 11 months ago
Multiphase Dynamic Labeling for Variational Recognition-Driven Image Segmentation
Abstract. We propose a variational framework for the integration multiple competing shape priors into level set based segmentation schemes. By optimizing an appropriate cost functi...
Daniel Cremers, Nir A. Sochen, Christoph Schnö...