Prior-Based Piecewise-Smooth Segmentation by Template Competitive Deformation Using Partitions of Unity
Somphone, Oudom; Cohen, Laurent D.; Mory, Benoît; Makram-Ebeid, Sherif (2008), Prior-Based Piecewise-Smooth Segmentation by Template Competitive Deformation Using Partitions of Unity, in Zisserman, Andrew, Computer Vision – ECCV 2008 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part III, Springer : Berlin Heidelberg, p. 628-641. 10.1007/978-3-540-88690-7_47
Type
Communication / ConférenceExternal document link
https://hal.archives-ouvertes.fr/hal-00438799Date
2008Conference country
FRANCEBook title
Computer Vision – ECCV 2008 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008, Proceedings, Part IIIBook author
Zisserman, AndrewPublisher
Springer
Published in
Berlin Heidelberg
ISBN
978-3-540-88689-1
Pages
628-641
Publication identifier
Metadata
Show full item recordAbstract (EN)
We propose a new algorithm for two-phase, piecewise-smooth segmentation with shape prior. The image is segmented by a binary template that is deformed by a regular geometric transformation. The choice of the template together with the constraint on the transformation introduce the shape prior. The deformation is guided by the maximization of the likelihood of foreground and background intensity models, so that we can refer to this approach as Competitive Deformation. In each region, the intensity is modelled as a smooth approximation of the original image. We represent the transformation using a Partition of Unity Finite Element Method, which consists in representing each component with polynomial approximations within local patches. A conformity constraint between the patches provides a way to control the globality of the deformation. We show several results on synthetic images, as well as on medical data from different modalities.Subjects / Keywords
Competitive Deformation; shape prior; two-phase, piecewise-smooth segmentationRelated items
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