multiobjectivedynamicdetectionofseedsbasedonmachinevision
Xun Yi; Zhang Junxiong; Li Wei; Cai Weiguo
刊名progressinnaturalsciencematerialsinternational
2007-01-01
卷号17期号:2页码:217
ISSN号1002-0071
英文摘要An approach to inspecting massive numbers of moving seeds was studied based on the techniques of dynamic inspection and machine vision. A progressive scanning CCD camera with external trigger function was used for real-time capture of dynamic images of seeds. The methods based on R channel of RGB (Red, Green and Blue) and region-dependent segmentation were adopted to reduce the data size of image processing and improve the efficiency of seeds inspection. All the seeds were sorted into four grades according to their morphological characteristics, such as surface area, perimeter, major axis, minor axis, circularity and eccentricity. The detection experiments indicated that the eligible ratio of the classifications was about 81.90% by this real-time inspection system.
语种英语
内容类型期刊论文
源URL[http://cas-ir.dicp.ac.cn/handle/321008/175289]  
专题大连化学物理研究所_中国科学院大连化学物理研究所
作者单位1.China Agr University
2.中国科学院大连化学物理研究所
推荐引用方式
GB/T 7714
Xun Yi,Zhang Junxiong,Li Wei,et al. multiobjectivedynamicdetectionofseedsbasedonmachinevision[J]. progressinnaturalsciencematerialsinternational,2007,17(2):217.
APA Xun Yi,Zhang Junxiong,Li Wei,&Cai Weiguo.(2007).multiobjectivedynamicdetectionofseedsbasedonmachinevision.progressinnaturalsciencematerialsinternational,17(2),217.
MLA Xun Yi,et al."multiobjectivedynamicdetectionofseedsbasedonmachinevision".progressinnaturalsciencematerialsinternational 17.2(2007):217.
个性服务
查看访问统计
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。


©版权所有 ©2017 CSpace - Powered by CSpace