Abstract
Initial research has been conducted into the use of digital image analysis techniques for automated detection and characterization of piping cavities present in the high explosive (HE) filler region of 105-mm artillery shells. Experimental work utilizing scene segmentation techniques followed by a sequential similarity detection algorithm for cavitation detection have yielded promising initial results. A description of this work is shown with examples of computer-detected defects.
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References
Barnea, D.I. and H.F. Silverman, “A Class of Algorithms for Fast Digital Image Registration”, IEEE Trans, on Computers, C-21 (February 1972).
Ramapriyan, H.K., “A Multilevel Approach to Sequential Detection of Pictorial Features”, IEEE Trans, on Computers, C-23, No. 1 (January 1976).
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© 1979 Plenum Press, New York
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Kruger, R.P., Janney, D.H., Breedlove, J.R. (1979). Automated Detection of Cavities Present in the High Explosive Filler of Artillery Shells. In: Burke, J.J., Weiss, V. (eds) Nondestructive Evaluation of Materials. Sagamore Army Materials Research Conference Proceedings, vol 23. Springer, Boston, MA. https://doi.org/10.1007/978-1-4613-2952-7_19
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DOI: https://doi.org/10.1007/978-1-4613-2952-7_19
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-2954-1
Online ISBN: 978-1-4613-2952-7
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