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My ICIP 2006 Schedule
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Paper Detail
| Paper: | TP-L1.5 |
| Session: | Active-Contour and Level-Set-Based Methods |
| Time: | Tuesday, October 10, 16:00 - 16:20 |
| Presentation: |
Lecture |
| Topic: |
Image & Video Segmentation: Active-contour and Level-set-based methods |
| Title: |
REGION-BASED ACTIVE CONTOUR WITH NOISE AND SHAPE PRIORS |
| Authors: |
François Lecellier; GREYC UMR 6072 | | | | | Stéphanie Jehan-Besson; GREYC UMR 6072 | | | | | Jalal Fadili; GREYC UMR 6072 | | | | | Gilles Aubert; Laboratoire J.A. Dieudonné | | | | | Marinette Revenu; GREYC UMR 6072 | | | | | Eric Saloux; CHU de Caen | | |
| Abstract: |
In this paper, we propose to combine formally noise and shape priors in region-based active contours. On the one hand, we use the general framework of exponential family as a prior model for noise. On the other hand, translation and scale invariant Legendre moments are considered to incorporate the shape prior (e.g. fidelity to a reference shape). The combination of the two prior terms in the active contour functional yields the final evolution equation whose evolution speed is rigorously derived using shape derivative tools. Experimental results on both synthetic images and real life cardiac echography data clearly demonstrate the robustness to initialization and noise, flexibility and large potential applicability of our segmentation algorithm. |
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