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Alternative TitleCurvature scale space-based boundary points detection of weld seam of tailored blanks laser welding
张万江; 许敏
Source Publication焊接学报
Volume34Issue:7Pages:93-96, 117-118
Indexed ByEI ; CSCD
EI Accession number20133516670672
Contribution Rank2
Keyword激光拼焊 结构光 特征点识别 曲率尺度空间
Other AbstractFeature point detection of laser stripe is the key technology for automatic seam quality inspection. Due to small aberrance and sensitive to noise of laser stripe for tailored blanks laser welding, the traditional feature point extraction methods are difficult to obtain accurate feature points. On the basis of analyzing the image features of laser stripe,an improved multi-scale feature point detection method was proposed based on curvature scale space ( CSS) technique. Firstly,a small-scale Gaussian template is used to smooth the centerline of laser stripe. Secondly,the improved CSS adopts an adaptive K-cosine algorithm,which has a dynamic region of support and excellent noise suppression performance to calculate the curvature of centerline smoothed by large-scale Gaussian template. Thirdly,the local extrema of the curvature extracted by a threshold T are used to candidate feature points. Lastly,the candidate feature points are refined in small-scale Gaussian template. The results showed that the improved CSS algorithm has better robust and anti-interference than the that of CSS algorithm.
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Document Type期刊论文
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GB/T 7714
张万江,许敏. 基于曲率尺度空间的激光拼焊焊缝边界点识别方法[J]. 焊接学报,2013,34(7):93-96, 117-118.
APA 张万江,&许敏.(2013).基于曲率尺度空间的激光拼焊焊缝边界点识别方法.焊接学报,34(7),93-96, 117-118.
MLA 张万江,et al."基于曲率尺度空间的激光拼焊焊缝边界点识别方法".焊接学报 34.7(2013):93-96, 117-118.
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