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Author Lecellier, François ♦ Jehan-Besson, Stéphanie ♦ Fadili, Jalal ♦ Aubert, Gilles ♦ Revenu, Marinette ♦ Saloux, Eric
Source arXiv.org
Content type Text
File Format PDF
Date of Submission 2008-05-21
Language English
Subject Domain (in DDC) Computer science, information & general works
Subject Keyword Computer Science - Computer Vision and Pattern Recognition ♦ I.4.6 ♦ cs
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.
Educational Use Research
Learning Resource Type Article
Page Count 4


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