Computer-Assisted Automatic Egg Fertility Control


Creative Commons License

BOĞA M., ÇEVİK K. K., Kocer H. E., BURGUT A.

KAFKAS UNIVERSITESI VETERINER FAKULTESI DERGISI, cilt.25, sa.4, ss.567-574, 2019 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 4
  • Basım Tarihi: 2019
  • Doi Numarası: 10.9775/kvfd.2018.21329
  • Dergi Adı: KAFKAS UNIVERSITESI VETERINER FAKULTESI DERGISI
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, TR DİZİN (ULAKBİM)
  • Sayfa Sayıları: ss.567-574
  • Anahtar Kelimeler: Egg incubator, Poultry production, Egg fertility control, Image processing, Dynamic thresholding, DETECTING FERTILITY, MACHINE VISION
  • Akdeniz Üniversitesi Adresli: Evet

Özet

This research aimed to determine the fertilization control of the eggs in an incubator between 0th and 5th days by image processing techniques via low-priced tools. Three different datasets that were composed of eggs whose images taken at different times in the incubator were prepared. Several filtering and morphology methods, gray level conversion and dynamic thresholding were utilized to process the 15 egg images. Moreover, the original processing codes based on the problem were given. White and Black percentages of binary images were utilized to determine the egg control. According to the test results, for the first dataset; 73.34% of fertility accuracy was achieved on the third day; 100% of fertility accuracy was achieved on the fourth day, for the second dataset; 93.34% of fertility accuracy was achieved on the third day; 93.34% of fertility accuracy was achieved again on the fourth day; for the third dataset, 93.34% of fertility accuracy was achieved on the third day; 100% of fertility accuracy again was achieved on the fourth day. When the results were evaluated, it was seen that egg fertility has been determined successfully automated with low cost tools.