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Leaf Recognition for Plant Classification Based on Wavelet Entropy and Back Propagation Neural Network

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Book cover Intelligent Robotics and Applications (ICIRA 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10464))

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Abstract

In this paper, we proposed a method for plant classification, which aims to recognize the type of leaves from a set of image instances captured from same viewpoints. Firstly, for feature extraction, this paper adopted the 2-level wavelet transform and obtained in total 7 features. Secondly, the leaves were automatically recognized and classified by Back-Propagation neural network (BPNN). Meanwhile, we employed K-fold cross-validation to test the correctness of the algorithm. The accuracy of our method achieves 90.0%. Further, by comparing with other methods, our method arrives at the highest accuracy.

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Acknowledgment

This paper is financially supported by Natural Science Foundation of China (61602250), Natural Science Foundation of Jiangsu Province (BK20150983).

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Authors and Affiliations

  1. School of Computer Science and Technology, Nanjing Normal University, Nanjing, 210023, Jiangsu, China

    Meng-Meng Yang, Shuihua Wang & Yudong Zhang

  2. School of Natural Sciences and Mathematics, Shepherd University, Shepherdstown, WV, 25443, USA

    Preetha Phillips

  3. West Virginia School of Osteopathic Medicine, 400 N Lee St., Lewisburg, WV, 24901, USA

    Preetha Phillips

  4. Department of Electrical Engineering, The City College of New York, CUNY, New York, NY, 10031, USA

    Shuihua Wang

  5. Jiangsu Key Laboratory of Advanced Manufacturing Technology, Huaiyin, 223003, Jiangsu, China

    Yudong Zhang

Authors
  1. Meng-Meng Yang
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  2. Preetha Phillips
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  3. Shuihua Wang
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  4. Yudong Zhang
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Corresponding author

Correspondence to Yudong Zhang .

Editor information

Editors and Affiliations

  1. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    YongAn Huang

  2. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Hao Wu

  3. Institute of Industrial Research, University of Portsmouth, Portsmouth, United Kingdom

    Honghai Liu

  4. School of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

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Yang, MM., Phillips, P., Wang, S., Zhang, Y. (2017). Leaf Recognition for Plant Classification Based on Wavelet Entropy and Back Propagation Neural Network. In: Huang, Y., Wu, H., Liu, H., Yin, Z. (eds) Intelligent Robotics and Applications. ICIRA 2017. Lecture Notes in Computer Science(), vol 10464. Springer, Cham. https://doi.org/10.1007/978-3-319-65298-6_34

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  • DOI: https://doi.org/10.1007/978-3-319-65298-6_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-65297-9

  • Online ISBN: 978-3-319-65298-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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