Quality Detection of Magnetic Ring Surface Based-on Machine Vision

Abstract

This article investigates an effective magnetic ring surface quality inspection method by studying the geometric characteristics of the magnetic ring surface. Digital image processing techniques such as median filtering and threshold transformation are used to accurately detect defects on the surface of the magnetic ring in this paper. The least square circle fit arithmetic and a new roundness measurement algorithm are applied to the geometric feature recognition of the magnetic ring surface. It is proved by practice that the method has accurate conclusions and high precision, and can meet the requirements of magnetic ring surface detection.