Herold, FrankFrankHeroldGrigat, Rolf-RainerRolf-RainerGrigat2021-08-192021-08-192002The e-journal of nondestructive testing & ultrasonics 7 (10): (2002)http://hdl.handle.net/11420/10129In automotive industry there is an increasing need for a hundred percent automatic non- destructive X-ray inspection for quality assurance of castings. A new fully automated analysis and classification method for automatic defect recognition (ADR) in X-ray images is presented and compared to traditional methods. It is shown, that the new method called Trained Median Filter (TMF) - overcomes all the weaknesses of established methods. Even flat defects in structured areas that tend to decompose are found reliably. In conclusion a performance estimation demonstrates the real-time capability in a batch testing system.en1435-4934The e-journal of nondestructive testing & ultrasonics200210NDT.netTechnikMedizinA new analysis and classification method for automatic defect recognition in X-ray images of castingsJournal Articlehttps://www.ndt.net/search/docs.php3?id=1539Other