Title :
Automated X-ray inspection of aluminum castings
Author :
Boerner, H. ; Strecker, Helmut
Author_Institution :
Forschunglsab., Philips GmbH, Hamburg, West Germany
fDate :
1/1/1988 12:00:00 AM
Abstract :
The experience gained with several approaches to automatic flaw detection in X-ray images of cast aluminum wheels is described. Basic problems are mentioned, and the applicability of segmentation methods to actual inspection tasks is demonstrated. The discussion focuses on the definition, extraction, and combination of local features for pixel classification. Results of pilot tests are described briefly. Further investigations are suggested, aiming at more generality of the methods and greater stability of the segmentation
Keywords :
computerised pattern recognition; flaw detection; inspection; mechanical engineering computing; Al alloys; X-ray images; automated inspection; automatic flaw detection; cast aluminum wheels; feature definition; feature extraction; pixel classification; segmentation methods; Aluminum; Casting; Image segmentation; Inspection; Stability; Testing; Wheels; X-ray detection; X-ray detectors; X-ray imaging;
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
