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.

CN122199513APending Publication Date: 2026-06-12HARBIN INST OF TECH

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

Technical Problem

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.

Method used

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.

🎯Benefits of technology

It effectively connects weak impurities, reduces longitudinal interference of the cord, improves detection accuracy, reduces false positive rate, and adapts to different background changes.

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Abstract

The application discloses a tire cord area impurity detection method, an electronic device, a readable storage medium and a program product, relates to the technical field of computer vision and industrial surface defect detection, and solves the problems that in the existing conventional detection method, dark impurities in an X-ray image are difficult to separate in a complex background, a weak target is prone to breakage after binarization, and long strip-shaped structural textures are prone to cause misjudgment. The method of the application highlights the cord and impurities through local adaptive threshold binarization, eliminates the vertical interference of cord textures by using a horizontal single-pixel inflation unit, thereby retaining the impurity form, then calculates the adaptive span lower limit by counting the length of continuous foreground pixel segments according to columns, dynamically selects the impurity suspected area, and removes abnormal data by using a column-level pixel total number threshold. Finally, the suspected area is subjected to joint geometric constraints of area and minimum bounding rectangle vertical height, real impurities are accurately identified, and the real impurities are mapped back to the X-ray image for color calibration. The application is mainly used for impurity detection on a tire cord area.
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