multiobjectivedynamicdetectionofseedsbasedonmachinevision
文献类型：期刊论文
| 作者 | Xun Yi; Zhang Junxiong; Li Wei; Cai Weiguo |
| 刊名 | progressinnaturalsciencematerialsinternational
 |
| 出版日期 | 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 |
| 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. |
入库方式： OAI收割
来源：大连化学物理研究所
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