Adam, W.W.AdamNickolay, B.B.NickolayTeunis, M.M.Teunis2022-03-032022-03-031990https://publica.fraunhofer.de/handle/publica/178495Workpiece defects and surface defects of a machining nature differ considerably and frequently cannot be described analytically. This article shows how with the approach of a learning image-analysis system such defects can be identified. The experiments were carried out with workpieces made from grey cast iron.dedefects on grey cast iron workpiecessupervised learning image analysis systemsurface inspectiontexture analysis670journal article