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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...

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Detalles Bibliográficos
Autores principales: Chu, Wei, Song, John, Vorburger, Theodore V., Thompson, Robert, Silver, Richard
Formato: Online Artículo Texto
Lenguaje:English
Publicado: [Gaithersburg, MD] : U.S. Dept. of Commerce, National Institute of Standards and Technology 2011
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.
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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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