%0 Conference Proceedings %T Segmentation Robust to the Vignette Effect for Machine Vision Systems %A Dimosthenis Karatzas %A Marçal Rusiñol %A Coen Antens %A Miquel Ferrer %B 19th International Conference on Pattern Recognition %D 2008 %F Dimosthenis Karatzas2008 %O DAG %O exported from refbase (http://refbase.cvc.uab.es/show.php?record=1065), last updated on Mon, 28 Oct 2019 11:48:17 +0100 %X 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. %U http://dx.doi.org/10.1109/ICPR.2008.4760957