Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46196
Title: Morphological snakes
Authors: Álvarez, L 
Baumela, Luis
Henríquez, Pedro
Márquez-Neila, Pablo
UNESCO Clasification: 120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120304 Inteligencia artificial
220990 Tratamiento digital. Imágenes
Keywords: Geodesic Active Contours
Issue Date: 2010
Conference: 23rd IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 
2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, CVPR 2010 
Abstract: 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
Source: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition [ISSN 1063-6919] (5539900), p. 2197-2202
Appears in Collections:Actas de congresos
Show full item record

SCOPUSTM   
Citations

64
checked on May 19, 2024

WEB OF SCIENCETM
Citations

37
checked on Feb 25, 2024

Page view(s)

56
checked on May 4, 2024

Google ScholarTM

Check

Altmetric


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.