Classification of KNOT defect types Budak kusur tiplerinin siniflandirilmasi

Cetiner S., VAR A. A., ÇETİNER H.

2014 22nd Signal Processing and Communications Applications Conference, SIU 2014, Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.1086-1089, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2014.6830422
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1086-1089
  • Anahtar Kelimeler: Approximation Coefficients, KNN Classification, Knot types, Wavelet Moment
  • Isparta Uygulamalı Bilimler Üniversitesi Adresli: Evet

Özet

In this study, the experimental studies were carried out on a database containing the types of wood knot. After preprocessing on the images in the database, specific features to knot were obtained using wavelet moments feature extraction algorithm. Type description is carried out with KNN classification algorithm by selecting most distinguishing the approximation coefficients on these features. In conclusion, knot images could be classified with the success rate of 98%. © 2014 IEEE.