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基于最小二乘支持向量机的激光拼焊焊缝识别
Alternative TitleRecognition of weld seam for tailored blank laser welding based on least square support vector machine
邹媛媛1,2; 左克铸1,2; 房灵申3; 李鹏飞1,2
Department管理支撑部门
Source Publication焊接学报
ISSN0253-360X
2019
Volume40Issue:2Pages:77-81, 164
Indexed ByEI ; CSCD
EI Accession number20191706835531
CSCD IDCSCD:6460320
Contribution Rank3
Funding Organization国家自然科学基金资助项目(51405481) ; 辽宁省教育厅科研资助项目(LJZ2016016) ; 江苏省产学研合作项目(BY2015063-01) ; 沈阳建筑大学学科涵育计划资助项目(XKHY2-32)
Keyword焊缝识别 图像分割 最小二乘支持向量机 激光拼焊
Abstract激光拼焊焊缝质量结构光视觉检测中,对焊缝的准确识别是实现高精度检测的关键.针对检测图像中结构光光纹畸变特征不明显,无法准确识别焊缝的问题,依据焊缝纹理特征信息,提出了一种基于最小二乘支持向量机的焊缝识别方法.首先,分析并提取焊缝区和非焊缝区差异明显的纹理特征.其次,训练最小二乘支持向量机模型,对焊缝进行粗识别.最后,采用Laws纹理滤波提取焊缝区域,并通过阈值分割方法精确识别焊缝.针对不同工艺参数下的激光拼焊焊缝开展焊缝识别试验,结果表明,该方法能够有效地识别焊缝.
Other AbstractAccurate recognition of weld seam was the key for structural-light visual inspection of weld quality with high precision in tailored blank laser welding. Because of the problem that when the distortion of laser stripe was not obvious in the image and the welding seam cannot be recognized accurately, a recognition method according to the texture information of weld seam based on least squares support vector machine was proposed in this paper. Firstly, the textural features of the image were analysed and the textural features which had obvious difference between weld seam region and non-welded region were extracted. Secondly, the least square support vector machine model was trained and the coarse recognition of weld seam was accomplished. Finally, a fine recognition was achieved by Laws texture filter and threshold segmentation. The recognition experiments were carried out for weld seam in different welding parameters and the results showed that the weld seam can be recognized effectively by this method.
Language中文
Citation statistics
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/24467
Collection管理支撑部门
Corresponding Author邹媛媛
Affiliation1.沈阳建筑大学机械工程学院
2.高档石材数控加工装备与技术国家地方联合工程实验室
3.中国科学院沈阳自动化研究所
Recommended Citation
GB/T 7714
邹媛媛,左克铸,房灵申,等. 基于最小二乘支持向量机的激光拼焊焊缝识别[J]. 焊接学报,2019,40(2):77-81, 164.
APA 邹媛媛,左克铸,房灵申,&李鹏飞.(2019).基于最小二乘支持向量机的激光拼焊焊缝识别.焊接学报,40(2),77-81, 164.
MLA 邹媛媛,et al."基于最小二乘支持向量机的激光拼焊焊缝识别".焊接学报 40.2(2019):77-81, 164.
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