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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
Source Publication焊接学报
Volume40Issue:2Pages:77-81, 164
Indexed ByEI ; CSCD
EI Accession number20191706835531
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
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.
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Document Type期刊论文
Corresponding Author邹媛媛
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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