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Sub-pixel detection method for an aviation plug based on Zernike moments.
Applied Optics
|March 17, 2026
Summary
A new sub-pixel edge detection method using Zernike moments improves aviation plug inspection accuracy in manufacturing. This method enhances localization precision for complex aerospace environments, ensuring reliable quality control.
Area of Science:
- Aerospace Engineering
- Computer Vision
- Metrology
Background:
- Aerospace manufacturing requires precise inspection of components like aviation plugs.
- Existing edge detection methods struggle with accuracy in complex industrial settings.
Purpose of the Study:
- To develop a sub-pixel edge detection algorithm for high-accuracy aviation plug inspection.
- To improve localization accuracy in complex aerospace manufacturing environments.
Main Methods:
- Proposed a sub-pixel edge detection method utilizing Zernike moments.
- Constructed a linear ramp edge detection model and employed orthogonal critical moments.
- Integrated an adaptive extraction algorithm and refined RANSAC fitting with local optimization.
Main Results:
- Achieved an absolute error of ±10µm compared to coordinate measuring machine (CMM) data.
- Recorded a root mean square error (RMSE) of 2.99µm.
- Demonstrated a detection time of 1.016 seconds for real-time performance.
Conclusions:
- The Zernike moment-based sub-pixel edge detection method offers high precision and real-time capabilities.
- The developed visual inspection system is suitable for complex aerospace manufacturing environments.
- The method significantly enhances localization accuracy for aviation plug inspection.
