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Algorithms for cloud segmentation with ground-based camera images

  • This paper deals with the detection and segmentation of clouds on high-dynamic-range (HDR) images of the sky as well as the calculation of the position of the sun at any time of the year. In order to predict the movement of clouds and the radiation of the sun for a short period of time, the clouds thickness and position have to be known as precisely as possible. Consequently, the segmentationThis paper deals with the detection and segmentation of clouds on high-dynamic-range (HDR) images of the sky as well as the calculation of the position of the sun at any time of the year. In order to predict the movement of clouds and the radiation of the sun for a short period of time, the clouds thickness and position have to be known as precisely as possible. Consequently, the segmentation algorithm has to provide satisfactory results regardless of different weather, illumination and climatic conditions. The principle of the segmentation is based on the classification of each pixel as a cloud or as a sky. This classification is usually based on threshold methods, since these are relatively fast to implement and show a low computational burden. In order to predict if and when the sun will be covered by clouds, the position of the sun on the images has to be determined. For this purpose, the zenith and azimuth angles of the sun are determined and converted into XY coordinates.show moreshow less

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Metadaten
Document Type:Conference Proceeding
Conference Type:Konferenzartikel
Zitierlink: https://opus.hs-offenburg.de/3061
Bibliografische Angaben
Title (English):Algorithms for cloud segmentation with ground-based camera images
Conference:Balkan Conference on Lighting (7. : 20-22 September 2018 : Varna, Bulgaria)
Author:Stefan HenselStaff MemberORCiDGND, Marin B. Marinov, Raphael Schwarz, Borislav Ganev
Year of Publication:2018
Publisher:IEEE
First Page:148
Last Page:153
Parent Title (English):Proceedings of the BalkanLight 2018
ISBN:978-1-5386-6730-9 (Elektronisch)
ISBN:978-1-5386-6729-3 (USB)
ISBN:978-1-5386-6731-6 (Print on Demand)
DOI:https://doi.org/10.1109/BalkanLight.2018.8546948
Language:English
Inhaltliche Informationen
Institutes:Fakultät Elektrotechnik und Informationstechnik (E+I) (bis 03/2019)
Institutes:Bibliografie
Formale Angaben
Open Access: Closed Access 
Licence (German):License LogoUrheberrechtlich geschützt