Region-based active contour with noise and shape priors

Details Region-based active contour with noise and shape priors Region-based active contour with noise and shape priors

2008-05-21

arxiv.org/abs/0805.3218v1

Computer Science

Computer Vision and Pattern Recognition

4 pages, ICIP 2006

Scientific paper

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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