In this article, an edge detection algorithm and selection process are used together to locate the edge points of all tool-mark features and filter out those not corresponding to striation marks.
Some automated bullet identification systems calculate a correlation score between two land impressions to measure their similarity. When extracting a compressed profile from the land impression of a fired bullet, inclusion of areas that do not contain valid individual striation information may lead to sub-optimal extraction and therefore may deteriorate the correlation result. In the current project, edge points of the resulting striation marks were reserved and expanded to generate a mask image. By imposing the mask image on the topography image, the weakly striated area(s) were removed from the expressed profile extraction. Using this method, 48 bullets fired from 12 gun barrels of six manufacturers resulted in a higher matching rate than previous studies. (Publisher Abstract)
Downloads
Similar Publications
- Improving and Evaluating Computed Tomography and Magnetic Resonance Imaging in the Investigation of Fatalities Involving Suspected Head Trauma
- Large-scale Selection of Highly Informative Microhaplotypes for Ancestry Inference and Population Specific Informativeness
- IS2aR, a Computational Tool to Transform Voxelized Reference Phantoms into Patient-specific Whole-body Virtual CTs for Peripheral Dose Estimation