Curvature scale space-based boundary points detection of weld seam of tailored blanks laser welding
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Graphical Abstract
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Abstract
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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