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PUBLICATIONS

OPTIMIZING GAUSSIAN FILTER LONG WAVELENGTH CUTOFF »c FOR IMPROVING 3D BALLISTICS SIGNATURE CORRELATIONS

Published

Author(s)

Jun-Feng Song, Li Ma, Theodore V. Vorburger, Susan M. Ballou

Abstract

In the ballistics measurements and correlations, optimum selection of c has particular importance for an unambiguous extraction of Individual Characteristics from the Class Characteristics . Poorly selected c might result in the Class Characteristics being inappropriately included in the Individual Characteristics , resulting in a sub-optimum correlation. In this paper, an approach to optimizing Gaussian filter long wavelength cutoff c for the NIST Ballistics Signature Measurement and Correlations System is proposed; the experimental results have shown that it can significantly improve the correlation results.
Proceedings Title
American Society for Precision Engineering, Annual Meeting | 23rd | Proceedings of ASPE 23rd Annual Meeting | American Society for Precision Engineering
Conference Dates
October 19-24, 2008
Conference Location
Portland, OR
Pub Type
Conferences

Keywords

surface topography, ballistics identification, Gaussian filter, cutoff length
Manufacturing and Metrology

Citation

Song, J. , Ma, L. , Vorburger, T. and Ballou, S. (2008), OPTIMIZING GAUSSIAN FILTER LONG WAVELENGTH CUTOFF »c FOR IMPROVING 3D BALLISTICS SIGNATURE CORRELATIONS, American Society for Precision Engineering, Annual Meeting | 23rd | Proceedings of ASPE 23rd Annual Meeting | American Society for Precision Engineering, Portland, OR (Accessed October 10, 2025)

Issues

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Created October 19, 2008, Updated February 19, 2017
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