X-ray Detection Method for Weld Defects of Steel Pressure Vessels Based on Machine Vision
An X-ray detection method of weld defects of steel pressure vessels based on machine vision is proposed to reduce the probability of accidents caused by weld defects of steel pressure vessels.Machine vision system and X-ray technology are applied to obtain the weld image of steel pressure vessel and extract the weld area characteristics,and the weld defects are integrated into three categories,fusion welding,false welding and penetration welding.Based on the extraction results of weld area features,the defect features such as weld defect area,defect brightness and waveform of steel pressure vessels are extracted,and the defect classifier is constructed to realize the X-ray detection of weld defects of steel pressure vessels.The experimental results show that when detecting the weld defects of steel pressure vessels,with the increase of the weld images to be detected,the F1 value is higher,the subjective judgment effect of the actual defect detection results is obvious,and the detail detection effect is favourable.