Morphological snakes

Título:	Morphological snakes
Autores/as:	Álvarez, L Baumela, Luis Henríquez, Pedro Márquez-Neila, Pablo
Clasificación UNESCO:	120601 Construcción de algoritmos 120602 Ecuaciones diferenciales 120304 Inteligencia artificial 220990 Tratamiento digital. Imágenes
Palabras clave:	Geodesic Active Contours
Fecha de publicación:	2010
Conferencia:	23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010
Resumen:	We introduce a morphological approach to curve evolution. The differential operators used in the standard PDE snake models can be approached using morphological operations on a binary level set. By combining the morphological operators associated to the PDE components we achieve a new snakes evolution algorithm. This new solution is based on numerical methods which are very simple, fast and stable. Moreover, since the level set is just a binary piecewise constant function, this approach does not require to estimate a contour distance function. To illustrate the results obtained we present some numerical experiments on real images.
URI:	http://hdl.handle.net/10553/46196
ISBN:	978-1-4244-6984-0 978-1-4244-6983-3
ISSN:	1063-6919
DOI:	10.1109/CVPR.2010.5539900
Fuente:	Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition [ISSN 1063-6919] (5539900), p. 2197-2202
Colección:	Actas de congresos

Vista completa