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Selecting Valid Correlation Areas for Automated Bullet Identification System Based on Striation Detection
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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
[Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550333/ https://www.ncbi.nlm.nih.gov/pubmed/26989589 http://dx.doi.org/10.6028/jres.116.010 |
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author | Chu, Wei Song, John Vorburger, Theodore V. Thompson, Robert Silver, Richard |
author_facet | Chu, Wei Song, John Vorburger, Theodore V. Thompson, Robert Silver, Richard |
author_sort | Chu, Wei |
collection | PubMed |
description | 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 this paper, 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. Edge points of the resulting striation marks are reserved and expanded to generate a mask image. By imposing the mask image on the topography image, the weakly striated area(s) are 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. |
format | Online Article Text |
id | pubmed-4550333 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology |
record_format | MEDLINE/PubMed |
spelling | pubmed-45503332016-03-17 Selecting Valid Correlation Areas for Automated Bullet Identification System Based on Striation Detection Chu, Wei Song, John Vorburger, Theodore V. Thompson, Robert Silver, Richard J Res Natl Inst Stand Technol Article 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 this paper, 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. Edge points of the resulting striation marks are reserved and expanded to generate a mask image. By imposing the mask image on the topography image, the weakly striated area(s) are 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. [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2011 2011-06-01 /pmc/articles/PMC4550333/ /pubmed/26989589 http://dx.doi.org/10.6028/jres.116.010 Text en https://creativecommons.org/publicdomain/zero/1.0/ The Journal of Research of the National Institute of Standards and Technology is a publication of the U.S. Government. The papers are in the public domain and are not subject to copyright in the United States. Articles from J Res may contain photographs or illustrations copyrighted by other commercial organizations or individuals that may not be used without obtaining prior approval from the holder of the copyright. |
spellingShingle | Article Chu, Wei Song, John Vorburger, Theodore V. Thompson, Robert Silver, Richard Selecting Valid Correlation Areas for Automated Bullet Identification System Based on Striation Detection |
title | Selecting Valid Correlation Areas for Automated Bullet Identification System Based on Striation Detection |
title_full | Selecting Valid Correlation Areas for Automated Bullet Identification System Based on Striation Detection |
title_fullStr | Selecting Valid Correlation Areas for Automated Bullet Identification System Based on Striation Detection |
title_full_unstemmed | Selecting Valid Correlation Areas for Automated Bullet Identification System Based on Striation Detection |
title_short | Selecting Valid Correlation Areas for Automated Bullet Identification System Based on Striation Detection |
title_sort | selecting valid correlation areas for automated bullet identification system based on striation detection |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4550333/ https://www.ncbi.nlm.nih.gov/pubmed/26989589 http://dx.doi.org/10.6028/jres.116.010 |
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