Connecting rod surface defect detection system based on HALCON

Aiming at the problems of poor precision and low stability of traditional connecting rod measurement, the surface detection system is proposed based on machine vision. In order to extract the surface defects of the connecting rod and obtain the characteristic information, the CCD camera with light is used to obtain the connecting rod. The hardware system of connecting rod surface defect detection based on machine vision is established to improve detection precision and efficiency. HALCON software was used to preprocess the acquired original images, binary threshold segmentation, morphological denoising and finally to extract the target features and calculate the defect area. The experimental results show that the method is fast and accurate for the surface defect extraction of connecting rod. It provides a new method for the surface defect extraction of connecting rod.