Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/46197
Title: Morphological thick line center detection
Authors: Alemán-Flores, Miguel 
Alvarez, Luis 
Henríquez, Pedro
Mazorra, Luis 
UNESCO Clasification: 220990 Tratamiento digital. Imágenes
120304 Inteligencia artificial
120601 Construcción de algoritmos
120602 Ecuaciones diferenciales
120326 Simulación
Keywords: Gaussian mixture model
Thick line
Mathematical morphology
Sport event
Image line
Issue Date: 2010
Journal: Lecture Notes in Computer Science 
Conference: 7th International Conference on Image Analysis and Recognition 
7th International Conference on Image Analysis and Recognition, ICIAR 2010 
Abstract: 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
Source: Campilho A., Kamel M. (eds) Image Analysis and Recognition. ICIAR 2010. Lecture Notes in Computer Science, vol 6111. Springer, Berlin, Heidelberg
Appears in Collections:Actas de congresos
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