Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46196
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
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