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

Application Background: Threads are widely used in industrial production, and real-time high-precision measurement is crucial for improving component quality. Traditional thread inspection primarily uses two methods: comprehensive testing and single-parameter measurement, both requiring manual operation with relatively low accuracy, time-consuming processes, low efficiency, and potential thread damage. Key Technology: This research develops a non-contact thread parameter measurement system using area-array CCD imaging combined with optical measurement and computer image processing technologies. The MATLAB-based detection program implements functions including image data acquisition, 2D image reconstruction, edge feature extraction, and boundary fitting. The system efficiently measures multiple thread parameters through algorithmic processing of captured images.