Research on burr detection of valve core seat based on machine vision
The burrs at the through-hole of the throttle valve core seat can easily scratch the valve core,resulting in weakening the throttling effect and directly affecting the product quality.To accurately detect defective burrs on workpieces,a burr detection method based on machine vision is proposed.The burr image is obtained after image acquisition and preprocessing.Edge detection is performed on the burr image,and the least squares method is used to fit the circle to obtain the center coordinates and radius.Scanning the burr edge contour and finding the pixel point closest to the center of the circle,the maximum height point of the burr is obtained,thereby detecting the unqualified workpieces.Experiments show that this detection method can accurately detect defective workpieces with burrs,and has certain application value.
NETL
NSTL
万方数据
维普
