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Segmentation robust to the vignette effect for machine vision systems

Author
Karatzas, D.; Rusiñol, M.; Antens, C.; Ferrer, M.
Type of activity
Presentation of work at congresses
Name of edition
19th International Conference on Pattern Recognition
Date of publication
2008
Presentation's date
2008
Book of congress proceedings
19th International Conference on Pattern Recognition, 2008: ICPR 2008: 8-11 Dec. 2008, Tampa, Florida, USA
First page
1
Last page
4
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
DOI
https://doi.org/10.1109/ICPR.2008.4760957 Open in new window
Repository
http://hdl.handle.net/2117/19349 Open in new window
URL
http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4760957&isnumber=4760915 Open in new window
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. ...
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.
Group of research
VIS - Artificial Vision and Intelligent Systems

Participants

  • Karatzas, Dìmosthenis  (author and speaker )
  • Rusiñol, Marçal  (author and speaker )
  • Antens, Coen  (author and speaker )
  • Ferrer Sumsi, Miquel  (author and speaker )