Detection of Maize Kernels Breakage Rate Based on K-means Clustering

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	Detection of Maize Kernels Breakage Rate Based on K-means Clustering
	Gao L(高雷); Wang Z(王卓); Yang L(杨亮); Bai XP(白晓平)
	2017
会议名称	5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS)
会议日期	April 22-23, 2017
会议地点	Busan, SOUTH KOREA
关键词	Computer vision K-means clustering detection of the maize kernels breakage energy function of gradient image clarity evaluation
页码	1-6
通讯作者	Yang L(杨亮)
中文摘要	In order to optimize the recognition accuracy of maize kernels breakage detection and improve the detection efficiency of maize kernels breakage, this paper using computer vision technology and detecting of the maize kernels breakage based on K-means clustering algorithm. First, the collected RGB images are converted into Lab images, then the original images clarity evaluation are evaluated by the energy function of Sobel 8 gradient. Finally, the detection of maize kernels breakage using different pixel acquisition equipments and different shooting angles. In this paper, the broken maize kernels are identified by the color difference between integrity kernels and broken kernels. The original images clarity evaluation and different shooting angles are taken to verify that the clarity and shooting angles of the images have a direct influence on the feature extraction. The results show that K-means clustering algorithm can distinguish the broken maize kernels effectively.
收录类别	CPCI（ISTP）
产权排序	1
会议录	2017 5TH INTERNATIONAL CONFERENCE ON COMPUTER-AIDED DESIGN, MANUFACTURING, MODELING AND SIMULATION (CDMMS 2017)
会议录出版者	AMER INST PHYSICS
会议录出版地	MELVILLE
语种	英语
ISSN号	0094-243X
ISBN号	978-0-7354-1504-1
WOS记录号	WOS:000405777700051
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/20824]
专题	沈阳自动化研究所_数字工厂研究室
作者单位	1.Key Laboratory of Networked Control System, Chinese Academy of Sciences, Shenyang 110016, China 2.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang 110016, China 3.University of Chinese Academy of Sciences, Beijing 100049, China
推荐引用方式 GB/T 7714	Gao L,Wang Z,Yang L,et al. Detection of Maize Kernels Breakage Rate Based on K-means Clustering[C]. 见:5th International Conference on Computer-Aided Design, Manufacturing, Modeling and Simulation (CDMMS). Busan, SOUTH KOREA. April 22-23, 2017.