Classification of the grape varieties based on leaf recognition by using SVM classifier Destek Vektör Makinalari Kullanilarak Yaprak Tanima ile Üzüm Çeşitlerinin Siniflandirilmasi

TÜRKOĞLU M., HANBAY D.

2015 23rd Signal Processing and Communications Applications Conference, SIU 2015, Malatya, Türkiye, 16 - 19 Mayıs 2015, ss.2674-2677, (Tam Metin Bildiri) identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2015.7130439
  • Basıldığı Şehir: Malatya
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.2674-2677
  • Anahtar Kelimeler: Grape Varieties, Image Processing, Leaf Recognition, Support Vector Machines
  • Samsun Üniversitesi Adresli: Hayır

Özet

In this paper, to classify the grape tree species, the extracted features from leaf images are classified using a multi-class support vector machines. Feature extraction stage, the grape leafs are calculated by using 9 different features. Image processing stage involves gray tone dial, median filtering, contrast, thresh holding and morphological-logical processes. In the classification stage, the obtained properties with the help of multi-class support vector machines (MCSVM) is performed classification process. In the testing phase, by applying the different leaf images is calculated the performance of model. In this study, MATLAB software was used. At the end of the test was determined the total success rate of 90.7%.