Tire cord zone impurity detection method, electronic device, readable storage medium and program product
By using local adaptive threshold segmentation and lateral dilation convolution units, the problem of difficult impurity identification in X-ray images of tire cord layers is solved, achieving efficient and accurate impurity detection.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- HARBIN INST OF TECH
- Filing Date
- 2026-04-08
- Publication Date
- 2026-06-12
AI Technical Summary
In existing technologies, impurities are difficult to effectively remove in complex backgrounds in X-ray images of tire cord layers. Faint targets are easily broken after binarization, and long strip-shaped textures are prone to misjudgment.
Local adaptive thresholding and lateral dilation convolution units are used to process X-ray images. Combined with adaptive span lower limit and geometric constraint model, curtain lines and impurities are identified and distinguished.
It effectively connects weak impurities, reduces longitudinal interference of the cord, improves detection accuracy, reduces false positive rate, and adapts to different background changes.
Smart Images

Figure CN122199513A_ABST