@inbook{c14dff30c2d64dfca786255b00309d19,
title = "Segmentation robust to the vignette effect for machine vision systems",
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.",
author = "Dimosthenis Karatzas and Mar{\c c}al Rusi{\~n}ol and Coen Antens and Miquel Ferrer",
year = "2008",
doi = "10.1109/icpr.2008.4760957",
language = "English",
isbn = "9781424421756",
series = "Proceedings - International Conference on Pattern Recognition",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2008 19th International Conference on Pattern Recognition, ICPR 2008",
address = "United States",
}