ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

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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.