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

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Author(s): Jun-Feng Song; Li Ma; Theodore V. Vorburger; Susan M. Ballou;
Title: OPTIMIZING GAUSSIAN FILTER LONG WAVELENGTH CUTOFF »c FOR IMPROVING 3D BALLISTICS SIGNATURE CORRELATIONS
Published: October 19, 2008
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: American Society for Precision Engineering, Annual Meeting | 23rd | Proceedings of ASPE 23rd Annual Meeting | American Society for Precision Engineering
Location: Portland, OR
Dates: October 19-24, 2008
Keywords: surface topography; ballistics identification; Gaussian filter; cutoff length
Research Areas: Metrology, Nanomanufacturing, Manufacturing