International Journal of Engineering and Innovative Research
MUSHROOM SPECIES DETECTION USING IMAGE PROCESSING TECHNIQUES
Yazarlar: Yasemin Rukiye ERKAN, Humar KAHRAMANLI ÖRNEK
Cilt 1 , Sayı 2 , 2019 , Sayfalar 71 - 83
Konular:Mühendislik
Anahtar Kelimeler:Image Processing,Mushroom Species,K-NN,Naive Bayes
Özet: There are many kinds of mushrooms in the world, some of them are edible and some are poisonous. People may want to eat the mushrooms they encounter in nature, as a result of which they may become poisoned or even die. In this research image processing techniques, K-NN and Naive Bayes algorithms were used to classify mushroom species in Selçuk University Campus. As a result of the research, K-NN algorithm achieved 80% and Naive Bayes algorithm achieved 96% accuracy.
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BibTex
KOPYALA
@article{2019, title={MUSHROOM SPECIES DETECTION USING IMAGE PROCESSING TECHNIQUES}, volume={1}, number={2}, publisher={International Journal of Engineering and Innovative Research}, author={Yasemin Rukiye ERKAN,Humar KAHRAMANLI ÖRNEK}, year={2019}, pages={71–83} }
APA
KOPYALA
Yasemin Rukiye ERKAN,Humar KAHRAMANLI ÖRNEK. (2019). MUSHROOM SPECIES DETECTION USING IMAGE PROCESSING TECHNIQUES (Vol. 1, pp. 71–83). Vol. 1, pp. 71–83. International Journal of Engineering and Innovative Research.
MLA
KOPYALA
Yasemin Rukiye ERKAN,Humar KAHRAMANLI ÖRNEK. MUSHROOM SPECIES DETECTION USING IMAGE PROCESSING TECHNIQUES. no. 2, International Journal of Engineering and Innovative Research, 2019, pp. 71–83.