Technical Research of Turbine Size Measurement Based on Machine Vision
Aiming at the problems of low efficiency and high cost of manual measurement of aluminum casting turbine size,a turbine size measurement method based on machine vision is proposed.The camera is calibrated in Halcon,the image is processed from RGB to gray level,the image contrast is increased by gray value enhancement,and the improved bilateral filter is used for noise reduction.Canny algorithm based on improved Sobel gradient template is applied to extract edge in-formation to improve edge positioning accuracy and complete image edge detection.Finally,according to the internal and ex-ternal parameters of the camera,the image coordinate information is converted into the world coordinate system,and the cor-responding size is obtained.The experimental results show that the measurement accuracy based on the proposed algorithm can reach±0.003mm,which is in line with the industrial standard.