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- W2775775898 abstract "With the growing number of automated welding systems present throughout manufacturing, achieving high precision is naturally a key objective. The alignment of weld tip to weld seam, particularly in very long welds (such as in pipes), is a technical challenge in which computer vision has much to offer. This paper introduces a real-time methodology for weld-seam tracking. The key challenge associated with the weld tracking problem is to accurately locate the seam and welding tip; that is, to define image features which allow the seam and tip edges to be identified. An efficient edge detection method based on steerable filters is proposed to have a robust edge extraction in different conditions of noise and illumination. The image processing precision is experimentally verified through comparison with ground truth data." @default.
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- W2775775898 date "2017-10-01" @default.
- W2775775898 modified "2023-09-25" @default.
- W2775775898 title "Seam tracking in automated welding" @default.
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- W2775775898 doi "https://doi.org/10.1109/smc.2017.8122572" @default.
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