Milling Cutter Defect Detection Based on Multi Curvature Fusion
In response to the problems of low efficiency and low accuracy in the traditional manual detec-tion of milling cutter breakage and multi edge defects,a milling cutter breakage and multi edge defect de-tection method based on morphological multi curvature fusion is proposed.First,color threshold is used to separate positive and negative scenes.Second,the bilateral filter is used to filter the image.Then,the image was binarized to remove the interference of small connection domain,and obtain the blade contour through boundary tracking.Finally,the curvature of blade profile is calculated by an improved chain coding comput-er system,and defect points are located through the curvature.After experimental verification,this detection method has an average detection speed of 0.8 s per sample and a detection accuracy of 92%,which can meet the requirements of industrial production online detection.
NETL
NSTL
万方数据
维普
