| 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 |
