Level set based shape prior segmentation
Level set based shape prior segmentation
We propose a level set based variational approach that incorporates shape priors into Chan-Vese's model for the shape prior segmentation problem. In our model, besides the level set function for segmentation, as in Cremers' work, we introduce another labelling level set function to indicate the regions on which the prior shape should be compared. Our model can segment an object, whose shape is similar to the given prior shape, from a background where there are several objects. Moreover, we provide a proof for a fast solution principle, which was mentioned by F. Gibou et al., and similar to the one proposed in [B. Song et al., (2002)], for minimizing Chan-Vese's segmentation model without length term. We extend the principle to the minimization of our prescribed functionals.
Document information
Level set based shape prior segmentation
2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) ; 2 ; 1164-1170 vol. 2
2005-01-01
322576 byte
Conference paper
Electronic Resource
English
Similar titles
Semiautomatic segmentation with compact shape prior
| British Library Online Contents | 2009
Image segmentation with one shape prior - A template-based formulation
| British Library Online Contents | 2012
Watershed segmentation using prior shape and appearance knowledge
| British Library Online Contents | 2009
Graph cuts segmentation using an elliptical shape prior
| IEEE | 2005
Graph Cuts Segmentation using an Elliptical Shape Prior
| British Library Conference Proceedings | 2005