Active contour segmentation with a parametric shape prior: Link with the shape gradient

Abstract : Active contours are adapted to image segmentation by energy minimization. The energies often exhibit local minima, requiring regularization. Such an a priori can be expressed as a shape prior and used in two main ways: (1) a shape prior energy is combined with the segmentation energy into a trade-off between prior compliance and accuracy or (2) the segmentation energy is minimized in the space defined by a parametric shape prior. Methods (1) require the tuning of a data-dependent balance parameter and methods (1) and (2) are often dedicated to a specific prior or contour representation, with the prior and segmentation aspects often meshed together, increasing complexity. A general framework for category (2) is proposed: it is independent of the prior and contour representations and it separates the prior and segmentation aspects. It relies on the relationship shown here between the shape gradient, the prior-induced admissible contour transformations, and the segmentation energy minimization.
keyword : Image Snakes
Type de document :
Communication dans un congrès
International Conference on Image Processing (ICIP), Oct 2006, Atlanta, Georgia (GA), United States. pp.1, 2006


https://hal.archives-ouvertes.fr/hal-00417711
Contributeur : Eric Debreuve <>
Soumis le : mercredi 2 avril 2014 - 11:41:02
Dernière modification le : mercredi 28 septembre 2016 - 13:54:47
Document(s) archivé(s) le : mercredi 2 juillet 2014 - 10:36:18

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  • HAL Id : hal-00417711, version 1

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Eric Debreuve, Michel Barlaud, Jean-Paul Marmorat, Gilles Aubert. Active contour segmentation with a parametric shape prior: Link with the shape gradient. International Conference on Image Processing (ICIP), Oct 2006, Atlanta, Georgia (GA), United States. pp.1, 2006. <hal-00417711>

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