Surface Defect Detection Method of Mechanical Parts Based on Target Feature

摘要

Through the analysis of surface defect characteristic about mechanical parts, a new method of based on target feature was presented to surface defect detection of mechanical parts. First of all, the test image is processed by mean-filter in order to eliminate the effect of noise on the detection. Secondly, based on the analysis of the characteristic of the surface defect, the segmentation threshold is set, and segment surface defect of mechanical parts. Finally, the effect of noise and outlier on the detection result was eliminated by morphological filtering. Experiment shows that the method can effectively suppress the image background interference, and more accurately realize the surface defect detection of mechanical parts.