Segmentation robust to the vignette effect for machine vision systems

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.

• Type: Conference
• Year: 2008
• Where: ICPR
• Authors: Dimosthenis Karatzas, Marçal Rusiñol, Jacobus Antens, Miquel Ferrer
• Keywords: Computer Vision, ICPR 2008, Non-linear Gradient, Object Segmentation, Vignette Effect