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Height information acquisition method of seedling with machine vision
Zhang WQ(张文强); Li W(李伟); Yang ZY(杨振宇); Han JD(韩建达)
作者部门机器人学研究室
会议名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
会议日期June 8-12, 2015
会议地点Shenyang, China
会议录名称2015 IEEE International Conference on Cyber Technology in Automation, Control, and Intelligent Systems (CYBER)
出版者IEEE
出版地Piscataway, NJ, USA
2015
页码1446-1449
收录类别EI ; CPCI(ISTP)
EI收录号20161402187719
WOS记录号WOS:000380502300264
产权排序2
ISSN号2379-7711
ISBN号978-1-4799-8730-6
关键词Image Processing Machine Vision Image Recognition Seedling Transplanting Height
摘要In plant factory, transplanting as an important step of nursery seedling process, it is necessary to achieve its automation and intelligence. To improve the survival rate of seedling transplanting, the fitness of transplanting seeding need to be distinguished. Seedling height, an important indicator of transplanting fitness, this paper attempts to use machine vision identify technology to analysis and judgment the height information rapidly to meet the transplanting requirements. In this paper, with the color images of pepper seedling as sample, the main stem characteristics of seedling were extracted out by using image processing algorithms. Then, the key points of every potted-seedling trunk were extracted by a Harris corner detection algorithm. The fitting line was obtained by the weighted least-squares linear fitting with the key points, and found out the maximum y-coordinate difference of all corners coordinates in each strain of potted-seedling. The average relative deviation algorithm of Harris corner detection algorithm with principal axis method was 2.85%.
语种英语
引用统计
文献类型会议论文
条目标识符http://ir.sia.cn/handle/173321/18513
专题机器人学研究室
作者单位1.College of Engineering, China Agriculture University, Beijing, China
2.State Key Laboratory of Robotics, Shenyang Institute of Automation, CAS, Shenyang, China
推荐引用方式
GB/T 7714
Zhang WQ,Li W,Yang ZY,et al. Height information acquisition method of seedling with machine vision[C]. Piscataway, NJ, USA:IEEE,2015:1446-1449.
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