MATLAB-based Thread Recognition and Image Processing with Source Code Implementation

Application Background Threads are extensively utilized in industrial production, where real-time high-precision measurement plays a vital role in enhancing component quality. Traditional thread inspection primarily employs two methods: comprehensive testing approach and single-parameter measurement method. However, both techniques require manual operation with relatively low accuracy. The entire measurement process is time-consuming and labor-intensive, resulting in low工作效率 efficiency and potential thread damage. Key Technology This paper develops a non-contact thread parameter measurement system utilizing area-array CCD imaging technology combined with optical measurement and computer image processing techniques. The MATLAB-platform detection program implements multiple functions through code modules: - Image data acquisition using MATLAB's image acquisition toolbox for real-time capturing - 2D image reconstruction employing interpolation algorithms for spatial representation - Edge feature extraction through Canny or Sobel operators for precise boundary detection - Boundary fitting using polynomial or spline approximation algorithms for parameter calculation The system effectively measures multiple thread parameters through sequential image processing operations. This non-contact measurement system not only improves measurement accuracy and efficiency but also reduces manual operation requirements and minimizes thread damage risks. Future Prospects The non-contact thread parameter measurement system demonstrates broad application potential. In industrial production, it can be applied to quality control and inspection of various threaded components, enhancing product standardization and consistency. Furthermore, this measurement system can be integrated into automated production lines for real-time monitoring and feedback of thread parameters, further improving production efficiency and quality. With continuous technological development and refinement, this non-contact measurement system is expected to achieve wider application and promotion across manufacturing sectors.