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» Nonlinear Dynamical Shape Priors for Level Set Segmentation
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CVPR
2009
IEEE
15 years 5 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
EMMCVPR
2005
Springer
14 years 4 months ago
Edge Strength Functions as Shape Priors in Image Segmentation
Many applications of computer vision requires segmenting out of an object of interest from a given image. Motivated by unlevel-sets formulation of Raviv, Kiryati and Sochen [8] and...
Erkut Erdem, Aykut Erdem, Sibel Tari
IJCV
2006
262views more  IJCV 2006»
13 years 10 months ago
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
In this paper, we propose a new variational model to segment an object belonging to a given shape space using the active contour method, a geometric shape prior and the Mumford-Sha...
Xavier Bresson, Pierre Vandergheynst, Jean-Philipp...
ICIP
2007
IEEE
14 years 5 months ago
Radial Basis Functions Collocation Methods for Model Based Level-Set Segmentation
We consider a recent parametric level-set segmentation approach where the implicit interface is the zero level of a continuous function expanded onto compactly supported radial ba...
Amaud Gelas, Joël Schaerer, Olivier Bernard, ...
ISBI
2004
IEEE
14 years 11 months ago
Differentiable Minimin Shape Distance For Incorporating Topological Priors in Biomedical Imaging
In the application of curve evolution and level set methods to biomedical image analysis, the incorporation of geometric priors for isolated shapes has been proved useful. On the ...
Yonggang Shi, William Clement Karl