A vision system for automatic identification of butterfly species using a grey-level co-occurrence matrix and multinomial logistic regression

Author:

Kayci Lokman,Kaya Yılmaz

Publisher

Informa UK Limited

Subject

Animal Science and Zoology

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Automatic Identification of Sri Lankan Butterfly Families using Ensemble Deep Learning;2023 5th International Conference on Advancements in Computing (ICAC);2023-12-07

2. Butterfly detection and classification techniques: A review;Intelligent Systems with Applications;2023-05

3. KSRFB-net: detecting and identifying butterflies in ecological images based on human visual mechanism;International Journal of Machine Learning and Cybernetics;2022-06-17

4. Texture based Image Species Classification with Deep Convolutional Neural Network;2019 IEEE 5th International Conference for Convergence in Technology (I2CT);2019-03

5. LOCAL BINARY PATTERN METHOD AND FEATURE SHAPE EXTRACTION FOR DETECTING BUTTERFLY IMAGE;International Journal of GEOMATE;2018-10-01

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