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
surface topography, ballistics identification, Gaussian filter, cutoff length