| dc.contributor.author | Karatzas, D |
| dc.contributor.author | Rusiñol, Marçal |
| dc.contributor.author | Antens, Coen |
| dc.contributor.author | Ferrer Sumsi, Miquel |
| dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors |
| dc.date.accessioned | 2013-05-17T14:48:37Z |
| dc.date.created | 2008 |
| dc.date.issued | 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.isbn | 978-1-4244-2175-6 |
| dc.identifier.uri | http://hdl.handle.net/2117/19349 |
| 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.format.extent | 4 p. |
| dc.language.iso | eng |
| dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) |
| dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
| dc.rights.uri | 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.lcsh | Computer vision |
| dc.subject.lcsh | Signal processing -- Digital techniques |
| dc.title | Segmentation robust to the vignette effect for machine vision systems |
| dc.type | Conference report |
| dc.subject.lemac | Visió per ordinador |
| dc.subject.lemac | Tractament del senyal -- Tècniques digitals |
| dc.contributor.group | Universitat Politècnica de Catalunya. VIS - Visió Artificial i Sistemes Intel·ligents |
| dc.identifier.doi | 10.1109/ICPR.2008.4760957 |
| dc.description.peerreviewed | Peer Reviewed |
| dc.relation.publisherversion | http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4760957&isnumber=4760915 |
| dc.rights.access | Restricted access - publisher's policy |
| local.identifier.drac | 11078415 |
| dc.description.version | Postprint (published version) |
| dc.date.lift | 10000-01-01 |
| local.citation.author | Karatzas, D.; Rusiñol, M.; Antens, C.; Ferrer, M. |
| local.citation.contributor | International Conference on Pattern Recognition |
| local.citation.pubplace | Tampa, Florida |
| local.citation.publicationName | 19th International Conference on Pattern Recognition, 2008: ICPR 2008: 8-11 Dec. 2008, Tampa, Florida, USA |
| local.citation.startingPage | 1 |
| local.citation.endingPage | 4 |
