Weather and a part of day recognition in the photos using a KNN methodology

• Autorzy: Krzywicki T.
• Języki publikacji: EN

Abstrakty

EN

This article presents a proposal for recognizing the weather and part of a day in digital photos encoded in the bitmap format, based on auctorial edge detection algorithm of horizon to demarcate the sky and k-nearest neighbours algorithm, to classify the daytime in the picture as “day” or “night” and to classify the weather as “sunny” or “cloudy”. To verify the effectiveness of the classification the Internal Bagging-5 model was applied. The data for surveys in the form of pictures was prepared on self-provision. To test the method in a different location, data from the Internet was used.

Słowa kluczowe

EN

image analysis; machine learning; classification

• Wydawca: Wydawnictwo Uniwersytetu Warmińsko-Mazurskiego w Olsztynie
• Czasopismo: Technical Sciences / University of Warmia and Mazury in Olsztyn
• Rocznik: 2018
• Tom: nr 21(4)
• Strony: 291--302
• Opis fizyczny: Bibliogr. 6 poz., rys., tab., wykr., zdj.

Twórcy

autor

Krzywicki T.

• Katedra Metod Matematycznych Informatyki, Uniwersytet Warmińsko-Mazurski, ul. Słoneczna 54, 10-710 Olsztyn

Bibliografia

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