TY  - CONF
AU  - Dimosthenis Karatzas
AU  - Marçal Rusiñol
AU  - Coen Antens
AU  - Miquel Ferrer
A2  - ICPR
PY  - 2008//
TI  - Segmentation Robust to the Vignette Effect for Machine Vision Systems
BT  - 19th International Conference on Pattern Recognition
N2  - 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.
UR  - http://dx.doi.org/10.1109/ICPR.2008.4760957
N1  - DAG
ID  - Dimosthenis Karatzas2008
ER  -