Automatic Classification of Natural Stone Tiles with Computer Vision

KAYNAR O., TORUN Y., TEMİZ M., GÖRMEZ Y.

3rd International Conference on Computer Science and Engineering (UBMK), Sarajevo, Bosna-Hersek, 20 - 23 Eylül 2018, ss.527-532 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/ubmk.2018.8566433
  • Basıldığı Şehir: Sarajevo
  • Basıldığı Ülke: Bosna-Hersek
  • Sayfa Sayıları: ss.527-532
  • Anahtar Kelimeler: natural stone classification, grey level cooccurence matrix, local binary pattern, INSPECTION, COLOR
  • Sivas Cumhuriyet Üniversitesi Adresli: Evet

Özet

Classification in natural stone industry have a great importance for enterprises. There are reinstatement cases arising from the fact that ordered granite parties are not the same as the agreed sample parties at the beginning, which causes significant economic losses for the companies. There is a greater need to classify tiles using computer-aided image processing methods for the development of quality control processes that have become increasingly important due to the rapidly increasing competition and globalization in the natural stone industry. In this type of automatic systems, the attributes that give information about color and surface are extracted from the images of natural stone tiles with image processing techniques and then the data set obtained by using these attributes are classified by various artificial intelligence and data mining techniques.