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Author Dimosthenis Karatzas; Marçal Rusiñol; Coen Antens; Miquel Ferrer
Title Segmentation Robust to the Vignette Effect for Machine Vision Systems Type Conference Article
Year 2008 Publication 19th International Conference on Pattern Recognition Abbreviated Journal
Volume Issue Pages
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.
Address Tampa, USA
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
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Series Volume Series Issue Edition
Area Expedition Conference ICPR
Notes DAG Approved no
Call Number (down) DAG @ dag @ KRA2008 Serial 1065
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