Research on surface defect detection and grinding path planning of steel plate based on machine vision

In the process of surface defect detection and grinding of steel plate, it needs a lot of manpower, not only low efficiency, but also not high detection accuracy. The surface defect detection of steel plate based on machine vision has been applied and paid more and more attention. In this paper, the image processing algorithm is studied to identify the surface defects of steel plate, and to obtain the location information of the defect on the steel. A method integrating with defect classification and merging and polishing path planning is proposed, and the coordinate information of each point on the path is obtained. Under the Windows system, a surface defect detection software is designed to detect the surface of the steel plate, and the detected defect location information is transmitted to the robot, and then the robot grinds the steel plate. Experimental results show that the algorithm is effective.