Segmentation robust to the vignette effect for machine vision systems

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/19349

dc.contributor	Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors
dc.contributor	Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel.ligents
dc.contributor.author	Karatzas, D
dc.contributor.author	Rusiñol, Marçal
dc.contributor.author	Antens, Coen
dc.contributor.author	Ferrer Sumsi, Miquel
dc.date	2008
dc.identifier.citation	Karatzas, D. [et al.]. Segmentation robust to the vignette effect for machine vision systems. A: International Conference on Pattern Recognition. "19th International Conference on Pattern Recognition, 2008: ICPR 2008: 8-11 Dec. 2008, Tampa, Florida, USA". Tampa, Florida: Institute of Electrical and Electronics Engineers (IEEE), 2008, p. 1-4.
dc.identifier.citation	978-1-4244-2175-6
dc.identifier.citation	10.1109/ICPR.2008.4760957
dc.identifier.uri	http://hdl.handle.net/2117/19349
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4760957&isnumber=4760915
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal::Processament de la imatge i del senyal vídeo
dc.subject	Àrees temàtiques de la UPC::Informàtica::Aplicacions de la informàtica::Disseny assistit per ordinador
dc.subject	Computer vision
dc.subject	Signal processing -- Digital techniques
dc.subject	Visió per ordinador
dc.subject	Tractament del senyal -- Tècniques digitals
dc.title	Segmentation robust to the vignette effect for machine vision systems
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	The vignette effect (radial fall-off) is commonly encountered in images obtained through certain image acquisition setups and can seriously hinder automatic analysis processes. In this paper we present a fast and efficient method for dealing with vignetting in the context of object segmentation in an existing industrial inspection setup. The vignette effect is modelled here as a circular, non-linear gradient. The method estimates the gradient parameters and employs them to perform segmentation. Segmentation results on a variety of images indicate that the presented method is able to successfully tackle the vignette effect.
dc.description.abstract	Peer Reviewed

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