Automatic identification of butterfly species based on local binary patterns and artificial neural network

Author:

Kaya Yılmaz,Kayci Lokman,Uyar Murat

Publisher

Elsevier BV

Subject

Software

Reference33 articles.

1. Erek Dağı (Van) Papilionoidea ve Hesperioidea Ekolojisi ve Faunası Üzerine Araştırmalar (Lepidoptera);Kayci;Priamus Suppl.,2007

2. The promise of DNA barcoding for taxonomy;Hebert;Syst. Biol.,2005

3. A computer vision system for the automatic identification of butterfly species via Gabor-filter-based texture features and extreme learning machine: GF+ELM;Kaya;TEM J.,2013

4. A vision system for automatic identification of butterfly species using a grey-level co-occurrence matrix and multinomial logistic regression;Kayci;Zool. Middle East,2014

5. Application of artificial neural network for automatic detection of butterfly species using color and texture features;Kaya;Vis. Comput.,2014

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