Enhanced HOG-LBP Feature Vector Based on Leaf Image for Plant Species Identification-Reference-Cited by-同舟云学术

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Enhanced HOG-LBP Feature Vector Based on Leaf Image for Plant Species Identification

Published:2021 Issue: Volume: Page:249-258
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
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Author:

Ashturkar Harsha,Bhalchandra A. S.,Behare Mrudul

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-16-0493-5_22

Reference37 articles.

1. Wäldchen, J., Mäder, P.: Plant species identification using computer vision techniques: a systematic literature review. Arch. Comput. Methods Eng. 25, 507–543 (2018). https://doi.org/10.1007/s11831-016-9206-z

2. Santosh, K.C., Lamiroy, B., Wendling, L.: DTW-radon-based shape descriptor for pattern recognition. Int. J. Pattern Recogn. Artif. Intell. 27(3), 1350008 (2013)

3. Santosh, K.C., Lamiroy, B., Wendling, L.: DTW for matching radon features: a pattern recognition and retrieval method. In: Blanc-Talon, J., Kleihorst, R., Philips, W., Popescu, D., Scheunders, P. (eds.) Advanced Concepts for Intelligent Vision Systems, pp. 249–260. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23687-7_23

4. Wu, S.G., Bao, F.S., Xu, E.Y., Wang, Y., Chang, Y., Xiang, Q.: A leaf recognition algorithm for plant classification using probabilistic neural network. In: IEEE International Symposium on Signal Processing and Information Technology, Giza, pp. 11–16 (2007). https://doi.org/10.1109/ISSPIT.2007.4458016

5. Aakif, A., Khan, M.: Automatic classification of plants based on their leaves. Biosyst. Eng. (2015). https://doi.org/10.1016/j.biosystemseng.2015.08.003

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1. Plant Species Identification Using Convolutional Neural Network;Intelligent Data Communication Technologies and Internet of Things;2021

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