Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computer Science Applications,Modeling and Simulation,Control and Systems Engineering
Link
http://link.springer.com/content/pdf/10.1007/s11633-019-1207-6.pdf
Reference20 articles.
1. K. M. He, G. Gkioxari, P. Dollar, R. Girshick. Mask RCNN. In Proceedings of IEEE International Conference on Computer Vision, IEEE, Venice, Italy, pp. 2961–2969, 2017. DOI: https://doi.org/10.1109/ICCV.2017.322.
2. B. Zhao, J. S. Feng, X. Wu, S. C. Yan. A survey on deep learning-based fine-grained object classification and semantic segmentation. International Journal of Automation and Computing, vol. 14, no. 2, pp. 119–135, 2017. DOI: https://doi.org/10.1007/s11633-017-1053-3.
3. Z. Y. Liu, F. Cheng, Y. B. Ying, X. Q. Rao. Identification of rice seed varieties using neural network. Journal of Zhejiang University Science B, vol. 6, no. 11, pp. 1095–1100, 2005.
4. A. H. Bhensjaliya, H. D. Vasava. Survey on classification of rice grains using neural network. International Journal of Computer Sciences and Engineering, vol. 7, pp. 828–831, 2019.
5. T. Y. Kuo, C. L. Chung, S. Y. Chen, H. A. Lin, Y. F. Kuo. Identifying rice grains using image analysis and sparse-representation-based classification. Computers and Electronics in Agriculture, vol. 127, pp. 716–725, 2016. DOI: https://doi.org/10.1016/j.compag.2016.07.020.
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