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A new analysis and classification method for automatic defect recognition in X-ray images of castings
Publikationstyp
Journal Article
Date Issued
2002
Sprache
English
Author(s)
Institut
Volume
7
Issue
10
Citation
The e-journal of nondestructive testing & ultrasonics 7 (10): (2002)
Contribution to Conference
Publisher Link
Publisher
NDT.net
In 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.
DDC Class
600: Technik
610: Medizin