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Segmentation robust to the vignette effect for machine vision systems

Autor
Karatzas, D.; Rusiñol, M.; Antens, C.; Ferrer, M.
Tipus d'activitat
Presentació treball a congrés
Nom de l'edició
19th International Conference on Pattern Recognition
Any de l'edició
2008
Data de presentació
2008
Llibre d'actes
19th International Conference on Pattern Recognition, 2008: ICPR 2008: 8-11 Dec. 2008, Tampa, Florida, USA
Pàgina inicial
1
Pàgina final
4
Editor
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICPR.2008.4760957 Obrir en finestra nova
Repositori
http://hdl.handle.net/2117/19349 Obrir en finestra nova
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4760957&isnumber=4760915 Obrir en finestra nova
Resum
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. ...
Citació
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.
Grup de recerca
VIS - Visió Artificial i Sistemes Intel.ligents

Participants

  • Karatzas, Dìmosthenis  (autor ponent)
  • Rusiñol, Marçal  (autor ponent)
  • Antens, Coen  (autor ponent)
  • Ferrer Sumsi, Miquel  (autor ponent)