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Proceedings Paper

Experimenting level set-based snakes for contour segmentation in radar imagery
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Paper Abstract

The aim of this work is to explore the applicability of a relatively new snakes formulation called geometric snakes, for robust contour segmentation in radar images. In particular, we are looking for clear experimental indicators regarding the usefulness of such tool for radar imagery. In this work, we mainly concentrate on various contour segmentation problems in airborne and spaceborne SAR images (swatch and inverse mode). As an example, we study the segmentation of coastlines and ship targets. We observe that the dynamical and adaptive properties of geometric contours is better suited to determine the morphological properties of the contours. For high-resolution radar images of ships, the underlying motivation is that these properties could help providing robust extraction of ship structures for automatic ship classification.

Paper Details

Date Published: 29 June 2000
PDF: 9 pages
Proc. SPIE 4041, Visual Information Processing IX, (29 June 2000); doi: 10.1117/12.390480
Show Author Affiliations
Frederic Lesage, Lockheed Martin Canada and Univ. de Montreal (Canada)
Langis Gagnon, Ctr. de Recherche Informatique de Montreal and Univ. de Montreal (Canada)


Published in SPIE Proceedings Vol. 4041:
Visual Information Processing IX
Stephen K. Park; Zia-ur Rahman, Editor(s)

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