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Proceedings Paper

Statistical multiregion snake-based segmentation
Author(s): Olivier Germain; Philippe Refregier
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Paper Abstract

We have recently proposed a new statistical approach based on active contours (snakes) for the segmentation of a unique object in an image. In this article, we address the case of an image composed of several different regions. We propose an extension of snake to a deformable partition of the image with a fixed number of regions. This active grid allows a semi-supervised segmentation of the image.

Paper Details

Date Published: 4 October 2000
PDF: 10 pages
Proc. SPIE 4121, Mathematical Modeling, Estimation, and Imaging, (4 October 2000); doi: 10.1117/12.402438
Show Author Affiliations
Olivier Germain, Domaine Univ. de Saint-Jerome (France)
Philippe Refregier, Domaine Univ. de Saint-Jerome (France)

Published in SPIE Proceedings Vol. 4121:
Mathematical Modeling, Estimation, and Imaging
David C. Wilson; Hemant D. Tagare; Fred L. Bookstein; Francoise J. Preteux; Edward R. Dougherty, Editor(s)

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