Knowledge Commons of Institute of Automation,CAS
Weld Seam Type Recognition System Based on Structured Light Vision and Ensemble Learning | |
Wang, Zhe1,2; Jing, Fengshui1,2; Fan, Junfeng1,2 | |
2018 | |
会议名称 | 2018 IEEE International Conference on Mechatronics and Automation |
会议日期 | 2018-8 |
会议地点 | Changchun, China |
摘要 | In this paper, we propose a weld seam recognition system based on structured light vision and ensemble learning. The proposed system consists of an industrial robot, a structured light vision sensor and a computer. The recognition procedures of proposed system include weld seam feature extraction and weld seam classification. In feature extraction part, the input images are processed by the following steps: noise filtration, laser stripe pattern extraction, main line extraction, edge points detection and feature computation. In classification part, ensemble learning models including BP-Adaboost and KNN-Adaboost are established to classify the images by the feature extracted. The experiment results validate the effectiveness and robustness of the proposed recognition system. |
收录类别 | EI |
语种 | 英语 |
文献类型 | 会议论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/44924 |
专题 | 复杂系统认知与决策实验室_先进机器人 |
作者单位 | 1.Institute of Automation, Chinese Academy of Sciences 2.University of Chinese Academy of Sciences |
第一作者单位 | 中国科学院自动化研究所 |
推荐引用方式 GB/T 7714 | Wang, Zhe,Jing, Fengshui,Fan, Junfeng. Weld Seam Type Recognition System Based on Structured Light Vision and Ensemble Learning[C],2018. |
条目包含的文件 | ||||||
文件名称/大小 | 文献类型 | 版本类型 | 开放类型 | 使用许可 | ||
ICMA 2018.pdf(835KB) | 会议论文 | 开放获取 | CC BY-NC-SA | 浏览 |
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