Loading Condition Detection of Grain Transportation Vehicle Based on Visual Image

CORC > 沈阳自动化研究所 > 中国科学院沈阳自动化研究所 > 数字工厂研究室

	Loading Condition Detection of Grain Transportation Vehicle Based on Visual Image
	Bai XP(白晓平)1 ; Hu JT(胡静涛)1 ; Zhang Y(张岩)1,2
	2018
会议日期	September 14, 2018 - September 16, 2018
会议地点	Singapore, Singapore
页码	1-6
英文摘要	To solve problem of grain loading reliably and accurately during master-slave collaborative operation of harvester-grain transportation vehicle structure, the detection methods of loading status based on visual image are proposed in this paper. The original image of grain bin is acquired by in-vehicle. After noise is eliminated by Gaussian filter, edges of binary image are recognized with Sobel operator, and gradient map of grain and bin is obtained by non-maximal-suppression method. Straight segments of grain bin edge are acquired using line detection algorithm of randomized Hough transform, and then region of interest (ROI) is obtained through pairwise intersection points of four straight edges. Grain region is recognized through colour space conversion and threshold segmentation. Loading status of grain bin is identified by the distribution state of grain with the convex points of grain region. The system extracts clear and complete edges of grain bin and monitors grain loading status real-time and dynamically, which avoids grain scattering outside and improves master-slave collaborative operation efficiency and monitoring capability of harvester-grain transportation vehicle. © Published under licence by IOP Publishing Ltd.
产权排序	1
会议录	2018 International Conference on Advanced Electronic Materials, Computers and Materials Engineering, AEMCME 2018 - Conference 3
会议录出版者	IOP
会议录出版地	Bristol, UK
语种	英语
ISSN号	1757-8981
内容类型	会议论文
源URL	[http://ir.sia.cn/handle/173321/23655]
专题	沈阳自动化研究所_数字工厂研究室
通讯作者	Zhang Y(张岩)
作者单位	1.Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China 2.School of Information and Electronic Engineering, Shandong Technology and Business University, China
推荐引用方式 GB/T 7714	Bai XP,Hu JT,Zhang Y. Loading Condition Detection of Grain Transportation Vehicle Based on Visual Image[C]. 见:. Singapore, Singapore. September 14, 2018 - September 16, 2018.