Plant counting by using k-NN classification on UAVs images IHA GÖRÜNTÜLERINDEN k-NN SINIFLANDIRICISI ILE BITKI SAYIMI

Tavus M. R., Eker M. E., ŞENYER N., Karabulut B.

2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.1058-1061, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2015.7130015
  • Basıldığı Şehir: Malatya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1058-1061
  • Anahtar Kelimeler: image processing, k-NN algorithm, plant counting
  • Samsun Üniversitesi Adresli: Hayır

Özet

In this study, Plant Counting was implemented by appling k-NN classification to images obtained from Unnamed Air Vehicle (UAV). Firstly, The images were subjected to erosion process by transforming different colour levels. The objects in the images were classified as plant and soil by means of k-NN classification. It was observed that plants can be counted with 87,7% of accuracy and 86,6% of precision by being performed last processing of the morphology of the binary image.