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Detection and Extraction of Sky Regions in Digital Images based on Color Classification
Högskolan i Gävle, Akademin för teknik och miljö, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad.
2013 (engelsk)Independent thesis Basic level (degree of Bachelor), 10 poäng / 15 hpOppgave
Abstract [en]

In many applications of image processing there is a need to extract the solid background which it is usually sky for outdoor images. In our application we present this solution. We developed an automatic algorithm for detection and extraction of sky regions in the color image based on color classification. In which the input image should be in the RGB color space and the blue color is detected and classified. Then the color image is transformed to the binary form and the connected regions are extracted separately. The connected regions are then sorted in a descending order according to the biggest area and the biggest region is identified. Then we merged all objects that have similar sky properties. Experimental results showed that our proposed algorithm can produce good results compared to other existing algorithms.

sted, utgiver, år, opplag, sider
2013. , s. 17
Emneord [en]
sky regions, extraction, color classification
HSV kategori
Identifikatorer
URN: urn:nbn:se:hig:diva-14504OAI: oai:DiVA.org:hig-14504DiVA, id: diva2:628931
Fag / kurs
Computer science
Utdanningsprogram
Computer science
Presentation
, Gävle (engelsk)
Veileder
Examiner
Tilgjengelig fra: 2013-06-24 Laget: 2013-06-15 Sist oppdatert: 2013-06-24bibliografisk kontrollert

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Sky_Regions_Extraction(1886 kB)5073 nedlastinger
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