dc.contributor.authorLim, Joanne Siew Peng
dc.date.accessioned2017-05-17T03:26:36Z
dc.date.available2017-05-17T03:26:36Z
dc.date.issued2017
dc.identifier.urihttp://hdl.handle.net/10356/71484
dc.description.abstractIn this report, image segmentation methods for sky/cloud analysis are discussed and explored. The aim is to investigate the limitations of sky/cloud imaging systematically, and find out the set of best practices in daytime and night-time cloud imaging. At the same time, experiments on image segmentation are carried out and it is concluded that the best color components for day and night-time images are different. In the analysis process, a night sky/cloud image database is also generated, in addition to the current publicly available day sky/cloud image database.en_US
dc.format.extent66 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleSky/Cloud analysis : cloud imaging with day-and night-time imagesen_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorLee Yee Huien_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineeringen_US


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