Plant Classification using Fractal Dimension in HSV Color Space

ŞORA GÜNAL E., Canbeck S., ADAR N., Goektogan A. H.

IEEE 16th Signal Processing and Communications Applications Conference, Aydın, Türkiye, 20 - 22 Nisan 2008, ss.645-646 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/siu.2008.4632696
  • Basıldığı Şehir: Aydın
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.645-646
  • Eskişehir Osmangazi Üniversitesi Adresli: Evet

Özet

In this paper, the use of fractal dimension measurements in HSV color space for image segmentation is investigated The regions including different plant species, especially weed and non-weed, are analyzed as application. With this purpose, several features are extracted using HSV color components belonging to images, which contain different plant types, and corresponding partial fractal dimensions. Then,, the extracted features are fed into Bayes classifier so that the regarding plant types are classified Experimental results indicate that the features obtained with HSV components provide results as good as the ones that are extracted using gray scale values only. When all the features are used together, the best performance is obtained.