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2008
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Graph cut based deformable model with statistical shape priors

10 years 4 months ago
Graph cut based deformable model with statistical shape priors
This paper presents a novel graph cut based segmentation approach with shape priors. The model incorporates statistical shape prior information with the active contour without edges model [6]. Our model also relaxes the homogeneity constraint that assumes that the image is modeled by a piecewise constant approximation. The major contribution of this paper is to present a graph cut optimization for the energy function. Hence, the resultant approach is a fully automatic shape based segmentation approach that is insensitive to initialization and does not require any user interaction. Due to the polynomial time complexity of graph cut optimization approaches, our segmentation technique is much faster than the state of the art deformable models segmentation approaches.
Noha Youssry El-Zehiry, Adel Elmaghraby
Added 30 May 2010
Updated 30 May 2010
Type Conference
Year 2008
Where ICPR
Authors Noha Youssry El-Zehiry, Adel Elmaghraby
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