A metal surface processing quality detection method and system

By using two-dimensional frequency transformation and dynamic retardation masking technology, the process texture and defect data in metal surface processing quality inspection are decoupled in the frequency domain, which solves the problems of false alarms and missed detections, and realizes adaptive response and high-precision detection for complex working conditions.

CN122451379APending Publication Date: 2026-07-24WUHAN AOBANG SURFACE TECH CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
WUHAN AOBANG SURFACE TECH CO LTD
Filing Date
2026-06-29
Publication Date
2026-07-24

AI Technical Summary

Technical Problem

In the current technology for inspecting the quality of metal surface processing, the process texture and defect data are highly coupled in the spatial domain, resulting in both false alarms and missed detections, and it is difficult to adapt to changes in complex physical conditions.

Method used

The grayscale data matrix is ​​mapped to a frequency domain energy matrix by a two-dimensional frequency transformation operator, a dynamic hysteresis mask matrix is ​​generated, periodic components are removed, the basic diffuse energy integral value is extracted, the residual frequency domain matrix is ​​reconstructed, and the quality detection result is output.

Benefits of technology

It achieves high-fidelity reconstruction of weak anomalous signals under complex background noise, improves the robustness and accuracy of detection, and ensures deterministic capture of weak anomalous states without changing the front-end detection accuracy.

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Abstract

The application relates to the field of electric digital data processing and discloses a metal surface processing quality detection method and system, which comprises the following steps: acquiring a two-dimensional gray data matrix of a surface object to be detected; mapping the matrix into a frequency energy matrix by using a frequency transformation operator and determining an energy decision threshold; extracting a local energy peak value coordinate set and locking a retardation radius according to the radial energy distribution of the local energy peak value coordinate set, so as to generate a dynamic retardation mask matrix; logically point-multiplying the dynamic retardation mask matrix and the frequency energy matrix and rearranging a basic diffuse energy integral value, so as to generate a residual frequency domain matrix; and reconstructing a spatial domain data matrix by using an inverse transformation operator. The application realizes orthogonal decoupling of interference characteristics and target characteristics in the data dimension, relies on a mask generation logic driven by a data stream to cope with working condition fluctuations, and enhances the high-fidelity reconstruction strength for weak abnormal signals.
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Citation Information

Patent Citations

  • CN121147212B