Thread Surface Defect Detection Based on Image Processing

Aiming at the problem that it is difficult to detect thread surface defects, a set of thread surface defect detection system based on image processing is developed. It adopts non-contact, high-precision and real-time image processing technology, and combines image acquisition, preprocessing, defect detection and feature extraction modules. Through continuous debugging and optimizing the image processing algorithm, the accuracy and real-time performance of the detection system are ensured. The experimental results show that the system can effectively identify two major defects, solder joint defects and thread damage defects. In the test of multiple groups of thread samples, the system can accurately identify single solder joint defects, single thread damage defects and both solder joint defects and thread damage defects, which is consistent with the actual thread defect and has high detection accuracy. The thread surface defect detection system based on image processing improves the efficiency of thread detection, provides technical support for quality control and production automation of thread manufacturing industry, and provides a reference for thread surface defect detection.