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Proceedings Paper

Adaptive snakes: control of damping and material parameters
Author(s): Ramin Samadani
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Paper Abstract

The stability of active contour models or 'snakes' is studied. It is shown that the modification of snake parameters using adaptive systems improves both the stability of the snakes and the boundaries obtained. The adaptive snakes perform better with images of varying contrasts, noisy images, and images with different curvatures along the boundaries. The computational costs at each iteration for the adaptive snakes is still of order (Nu) , where (Nu) is the number of points on the snakes. Comparisons of the results for non-adaptive and adaptive snakes are shown using both computer simulations and satellite images.

Paper Details

Date Published: 1 September 1991
PDF: 12 pages
Proc. SPIE 1570, Geometric Methods in Computer Vision, (1 September 1991); doi: 10.1117/12.48425
Show Author Affiliations
Ramin Samadani, Stanford Univ. (United States)

Published in SPIE Proceedings Vol. 1570:
Geometric Methods in Computer Vision
Baba C. Vemuri, Editor(s)

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