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陈海永,曹军旗,任亚非,刘卫朋. 基于焊缝兴趣点的多尺度形状描述符模板匹配算法[J]. 焊接学报, 2018, 39(10): 1-5. DOI: 10.12073/j.hjxb.2018390238
引用本文: 陈海永,曹军旗,任亚非,刘卫朋. 基于焊缝兴趣点的多尺度形状描述符模板匹配算法[J]. 焊接学报, 2018, 39(10): 1-5. DOI: 10.12073/j.hjxb.2018390238
CHEN Haiyong, CAO Junqi, REN Yafei, LIU Weipeng. Multi-scale shape descriptor template matching algorithm based on weld points of interest[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(10): 1-5. DOI: 10.12073/j.hjxb.2018390238
Citation: CHEN Haiyong, CAO Junqi, REN Yafei, LIU Weipeng. Multi-scale shape descriptor template matching algorithm based on weld points of interest[J]. TRANSACTIONS OF THE CHINA WELDING INSTITUTION, 2018, 39(10): 1-5. DOI: 10.12073/j.hjxb.2018390238

基于焊缝兴趣点的多尺度形状描述符模板匹配算法

Multi-scale shape descriptor template matching algorithm based on weld points of interest

  • 摘要: 针对厢体焊接涉及多种类型焊缝,提出了一种焊缝类型识别方法. 采用激光条纹提取算法获取焊缝骨架,对焊缝骨架进行直线拟合,求取焊缝骨架特征点作为兴趣点,利用多尺度形状描述符对兴趣点进行特征描述,获取焊缝类型的形状信息. 选取多种类型焊缝模板,通过模板匹配算法进行焊缝类型识别. 结果表明,焊缝类型分类正确率可达95%以上,这种焊缝类型识别方法是可行的.

     

    Abstract: Aiming at welding many types of welds involved in car body, an identification method of weld type was proposed. The extraction algorithm of laser fringe was used to obtain the weld seam skeleton and the weld skeleton was linearly fitted to obtain the weld skeleton feature point as a point of interest. Using multi-scale shape descriptors to characterize the interest points, the shape information of the weld types was obtained. Selecting multiple types of weld templates and identifying weld types were achieved by the template matching algorithm. The results show that the correct classification rate of weld types can be achieved up to 95%, which means this type of weld identification method was feasible.

     

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