Detection of Unfocused Raindrops on a Windscreen using Low Level Image Processing

Abstract : In a scene, rain produces a complex set of visual effects. Obviously, such effects may infer failures in outdoor vision-based systems which could have important side-effects in terms of security applications. For the sake of these applications, rain detection would be useful to adjust their reliability. In this paper, we introduce the problem (almost unprecedented) of unfocused raindrops. Then, we present a first approach to detect these unfocused raindrops on a transparent screen using a spatio-temporal approach to achieve detection in real-time. We successfully tested our algorithm for Intelligent Transport System (ITS) using an on-board camera and thus, detected the raindrops on the windscreen. Our algorithm differs from the others in that we do not need the focus to be set on the windscreen. Therefore, it means that our algorithm may run on the same camera sensor as the other vision-based algorithms.
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Contributeur : Fawzi Nashashibi <>
Soumis le : dimanche 23 janvier 2011 - 11:09:48
Dernière modification le : mercredi 18 décembre 2019 - 17:32:26
Archivage à long terme le : dimanche 24 avril 2011 - 02:23:31


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  • HAL Id : hal-00558591, version 1


Fawzi Nashashibi, Raoul de Charette, Alexandre Lia. Detection of Unfocused Raindrops on a Windscreen using Low Level Image Processing. International Conference on Control, Automation, Robotics and Vision : ICARV'2010, Dec 2010, Singapour, Singapore. pp.P0655. ⟨hal-00558591⟩



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