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Automated X-Ray Inspection of Aluminum Castings
January 1988 (vol. 10 no. 1)
pp. 79-91

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.

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Index Terms:
feature definition; feature extraction; automated inspection; automatic flaw detection; X-ray images; cast aluminum wheels; segmentation methods; pixel classification; Al alloys; computerised pattern recognition; flaw detection; inspection; mechanical engineering computing
Citation:
H. Boerner, H. Strecker, "Automated X-Ray Inspection of Aluminum Castings," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 10, no. 1, pp. 79-91, Jan. 1988, doi:10.1109/34.3869
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