DocumentCode
782408
Title
Automated X-ray inspection of aluminum castings
Author
Boerner, H. ; Strecker, Helmut
Author_Institution
Forschunglsab., Philips GmbH, Hamburg, West Germany
Volume
10
Issue
1
fYear
1988
fDate
1/1/1988 12:00:00 AM
Firstpage
79
Lastpage
91
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;
fLanguage
English
Journal_Title
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher
ieee
ISSN
0162-8828
Type
jour
DOI
10.1109/34.3869
Filename
3869
Link To Document