Weld seam location with adaptive fracture repair on minor-caliber pipe

• High precision and robust positioning of welds on minor-caliber pipe have been achieved. • Preprocessing and maximum disk method for data lightweight and rapid skeleton extraction. • Multi stage architecture of neighborhood analysis and BFS+Freeman chain code+adaptive repair for sub-pixel extraction. • A cooperative localization algorithm based on mathematical morphology, OTSU threshold segmentation and geometric moment can locate the weld center with high accuracy and robustness. • The proposed algorithm ensures a measurement center point error of 0.98 pixels (maximum 3.6 pixels). High-precision weld positioning is crucial for enhancing welding quality and structural reliability. Current algorithms are challenged by uneven laser reflectivity, complex surface curvature, and noise interference. To overcome these obstacles, we propose a multi-stage adaptive weld centering framework integrating line laser scanning, skeleton generation and tracking, adaptive fracture repair techniques. The framework consists of three primary stages: (1) Image preprocessing utilizes a hybrid median filter and fixed threshold segmentation to enhance contrast, suppress salt-and-pepper noise, and preserve edge details. (2) Centerline extraction employs an improved maximal disk-based skeleton algorithm to generate single-pixel-width centerlines, followed by Freeman chain code tracking and data storage. Connectivity analysis via BFS ensures topological consistency among fragment skeletons. (3) Adaptive repair and smoothing method adopts least squares optimization to integrate broken skeleton segments through geometric constraints, achieving continuous sub-pixel trajectories. Positioning experiment of pipeline welds validates the algorithm effectiveness by a maximum positional error of 3.6 pixels and an average error of 0.98 pixel. The deviation rate of the weld center point from the manually calibrated 40.68 pixels is below 5%. These results meet the accuracy standards necessary for practical welding applications.

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Publication Details

Journal
Results in Engineering
Published
2025-07-26
DOI
https://doi.org/10.1016/j.rineng.2025.106478
Primary Topic
Material Properties and Failure Mechanisms
Type
article
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article

Weld seam location with adaptive fracture repair on minor-caliber pipe

Li Guo, Jingyu Zhang, Fan Zhang, Yue Yan et al.
Results in Engineering
Material Properties and Failure Mechanisms
article

Weld seam location with adaptive fracture repair on minor-caliber pipe

Li Guo, Jingyu Zhang, Fan Zhang, Yue Yan, Heming Zhao
article en

Abstract

• High precision and robust positioning of welds on minor-caliber pipe have been achieved. • Preprocessing and maximum disk method for data lightweight and rapid skeleton extraction. • Multi stage architecture of neighborhood analysis and BFS+Freeman chain code+adaptive repair for sub-pixel extraction. • A cooperative localization algorithm based on mathematical morphology, OTSU threshold segmentation and geometric moment can locate the weld center with high accuracy and robustness. • The proposed algorithm ensures a measurement center point error of 0.98 pixels (maximum 3.6 pixels). High-precision weld positioning is crucial for enhancing welding quality and structural reliability. Current algorithms are challenged by uneven laser reflectivity, complex surface curvature, and noise interference. To overcome these obstacles, we propose a multi-stage adaptive weld centering framework integrating line laser scanning, skeleton generation and tracking, adaptive fracture repair techniques. The framework consists of three primary stages: (1) Image preprocessing utilizes a hybrid median filter and fixed threshold segmentation to enhance contrast, suppress salt-and-pepper noise, and preserve edge details. (2) Centerline extraction employs an improved maximal disk-based skeleton algorithm to generate single-pixel-width centerlines, followed by Freeman chain code tracking and data storage. Connectivity analysis via BFS ensures topological consistency among fragment skeletons. (3) Adaptive repair and smoothing method adopts least squares optimization to integrate broken skeleton segments through geometric constraints, achieving continuous sub-pixel trajectories. Positioning experiment of pipeline welds validates the algorithm effectiveness by a maximum positional error of 3.6 pixels and an average error of 0.98 pixel. The deviation rate of the weld center point from the manually calibrated 40.68 pixels is below 5%. These results meet the accuracy standards necessary for practical welding applications.

Results in EngineeringVol. 27
North University of China (CN), Quality and Reliability (Greece) (GR)
Life below water
Openalex Percentile: Top 87%
Material Properties and Failure Mechanisms
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