Morphological thick line center detection

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

Vista completa