A method and system for detecting defects in wire production based on image processing
By employing image preprocessing, gradient analysis, boundary detection, and optimization techniques, the image segmentation problem in parallel detection of multiple wires was solved, enabling accurate detection of surface defects on wires and making it suitable for large-scale continuous production.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-08
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies struggle to achieve accurate image segmentation in scenarios involving the parallel detection of multiple wires, leading to mutual interference between adjacent wire regions and inaccurate boundary segmentation, which reduces the reliability of defect detection.
Image preprocessing is performed through grayscale conversion and bilateral filtering. Combined with gradient direction consistency analysis and boundary point connectivity detection, parallel and closely spaced patterns and local intersection patterns are processed. Hole region detection and dilation erosion operations are used to optimize the boundary. Finally, the distribution of connected regions is adjusted by region area filtering and overlapping boundary separation to ensure the independent segmentation of each wire.
It achieves precise segmentation in complex arrangements of multiple wires, improves segmentation accuracy and stability, avoids misjudgment of defects, and is suitable for the testing needs of large-scale continuous production.
Smart Images
Figure CN122415568A_ABST