Segmentation robust to the vignette effect for machine vision systems
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
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.
CitationKaratzas, D. [et al.]. Segmentation robust to the vignette effect for machine vision systems. A: International Conference on Pattern Recognition. "19th International Conference on Pattern Recognition, 2008: ICPR 2008: 8-11 Dec. 2008, Tampa, Florida, USA". Tampa, Florida: Institute of Electrical and Electronics Engineers (IEEE), 2008, p. 1-4.
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