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Technical Program
Paper Detail
| Paper: | TP-L1.6 |
| Session: | Active-Contour and Level-Set-Based Methods |
| Time: | Tuesday, October 10, 16:20 - 16:40 |
| Presentation: |
Lecture
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| Title: |
ACTIVE CONTOUR SEGMENTATION WITH A PARAMETRIC SHAPE PRIOR: LINK WITH THE SHAPE GRADIENT |
| Authors: |
Eric Debreuve; Lab. I3S - University of Nice-Sophia Antipolis | | | | | Michel Barlaud; Lab. I3S - University of Nice-Sophia Antipolis | | | | | Jean-Paul Marmorat; Ecole des Mines de Paris, C.M.A. Sophia Antipolis | | | | | Gilles Aubert; Lab. Dieudonné - University of Nice-Sophia Antipolis | | |
| 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. |
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