Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network

doi:10.1007/s11633-019-1207-6

CORC > 自动化研究所 > 中国科学院自动化研究所 > 学术期刊 > International Journal of Automation and Computing

	Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network
	Kittinun Aukkapinyo; Suchakree Sawangwong; Parintorn Pooyoi; Worapan Kusakunniran
刊名	International Journal of Automation and Computing
	2020
卷号	17 期号:2 页码:233-246
关键词	Mask region-based convolutional neural networks (R-CNN) computer vision deep learning rice grain classification transfer learning.
ISSN号	1476-8186
DOI	10.1007/s11633-019-1207-6
英文摘要	This paper proposes a solution to localization and classification of rice grains in an image. All existing related works rely on conventional based machine learning approaches. However, those techniques do not do well for the problem designed in this paper, due to the high similarities between different types of rice grains. The deep learning based solution is developed in the proposed solution. It contains pre-processing steps of data annotation using the watershed algorithm, auto-alignment using the major axis orientation, and image enhancement using the contrast-limited adaptive histogram equalization (CLAHE) technique. Then, the mask region-based convolutional neural networks (R-CNN) is trained to localize and classify rice grains in an input image. The performance is enhanced by using the transfer learning and the dropout regularization for overfitting prevention. The proposed method is validated using many scenarios of experiments, reported in the forms of mean average precision (mAP) and a confusion matrix. It achieves above 80% mAP for main scenarios in the experiments. It is also shown to perform outstanding, when compared to human experts.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/42299]
专题	自动化研究所_学术期刊_International Journal of Automation and Computing
作者单位	Faculty of Information and Communication Technology, Mahidol University, Nakhon Pathom 73170, Thailand
推荐引用方式 GB/T 7714	Kittinun Aukkapinyo,Suchakree Sawangwong,Parintorn Pooyoi,et al. Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network[J]. International Journal of Automation and Computing,2020,17(2):233-246.
APA	Kittinun Aukkapinyo,Suchakree Sawangwong,Parintorn Pooyoi,&Worapan Kusakunniran.(2020).Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network.International Journal of Automation and Computing,17(2),233-246.
MLA	Kittinun Aukkapinyo,et al."Localization and Classification of Rice-grain Images Using Region Proposals-based Convolutional Neural Network".International Journal of Automation and Computing 17.2(2020):233-246.