Identificador persistente para citar o vincular este elemento:
http://hdl.handle.net/10553/46197
| Título: | Morphological thick line center detection | Autores/as: | Alemán-Flores, Miguel Alvarez, Luis Henríquez, Pedro Mazorra, Luis |
Clasificación UNESCO: | 220990 Tratamiento digital. Imágenes 120304 Inteligencia artificial 120601 Construcción de algoritmos 120602 Ecuaciones diferenciales 120326 Simulación |
Palabras clave: | Gaussian mixture model Thick line Mathematical morphology Sport event Image line |
Fecha de publicación: | 2010 | Publicación seriada: | Lecture Notes in Computer Science | Conferencia: | 7th International Conference on Image Analysis and Recognition 7th International Conference on Image Analysis and Recognition, ICIAR 2010 |
Resumen: | Thick line center and width estimation are important problems in computer vision. In this paper, we analyze this issue in real situations where we have to deal with some additional difficulties, such as the thick line distortion produced by interlaced broadcast video cameras or large shaded areas in the scene. We propose a technique to properly extract the thick lines and their centers using mathematical morphological operators. In order to illustrate the performance of the method, we present some numerical experiments in real images. | URI: | http://hdl.handle.net/10553/46197 | ISBN: | 978-3-642-13771-6 3642137717 |
ISSN: | 0302-9743 | DOI: | 10.1007/978-3-642-13772-3_8 | Fuente: | Campilho A., Kamel M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6111. Springer, Berlin, Heidelberg |
| Colección: | Actas de congresos |
Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.