Abstract: In order to solve the problems of low accuracy and efficiency, and high difficulty to realize in the surface quality detection of turbine shell parts, a method of surface quality detection based on robotic arm and machine vision is proposed. Firstly, the robotic arm is used to drive the vision system to the detecting work station to collect the surface image of the part. Then the image is processed by image filtering, detection region extraction, feature extraction and segmentation. Finally, the defects such as bumps and pits on the surface of the turbine shell are detected. The field test results show that the average detection time of the single work station is less than 2 s, and the missing rate of the detection is only 0.4%, which proves that the accuracy and efficiency of the system meet the requirements of engineering application.

Key words: robotic arm, visual inspection, turbine shell, image processing