三维枪弹痕点云数据处理及特征提取研究

马鑫; 魏仲慧; 何昕; 于国栋

doi:10.3788/YJYXS20163109.0889

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三维枪弹痕点云数据处理及特征提取研究

显示与图像 | 更新时间：2020-07-07

- 三维枪弹痕点云数据处理及特征提取研究
- Processing and feature extraction for three-dimensional bullet point cloud data
- 液晶与显示 2016年31卷第9期页码：889-896
- 作者机构：
  
  1.中国科学院长春光学精密机械与物理研究所, 吉林长春 130033
  2.中国科学院大学, 北京 100049
  3.白城兵器试验中心, 吉林白城 137001
- 作者简介：
  
  [ "马鑫(1990-),男,内蒙古巴彦淖尔人,硕士研究生,主要从事数字图像处理方面的研究。E-mail:cnqqqf@163.com" ]
  魏仲慧(1961-),女,吉林长春人,研究员,博士生导师,主要从事数字图像处理、图像储存等方面的研究。E-mail:wzhlvp@sohu.com
- 基金信息：
  
  国家自然科学基金资助项目(No.60878052);National Natural Science Foundation of China(No.60878052)
- DOI：10.3788/YJYXS20163109.0889
  中图分类号： TP391.9
- 收稿日期：2016-05-18，
  
  录用日期：2016-6-7，
  
  纸质出版日期：2016-09
- 稿件说明：
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马鑫, 魏仲慧, 何昕, 等. 三维枪弹痕点云数据处理及特征提取研究[J]. 液晶与显示, 2016,31(9):889-896.

Xin MA, Zhong-hui WEI, Xin HE, et al. Processing and feature extraction for three-dimensional bullet point cloud data[J]. Chinese journal of liquid crystals and displays, 2016, 31(9): 889-896.
马鑫, 魏仲慧, 何昕, 等. 三维枪弹痕点云数据处理及特征提取研究[J]. 液晶与显示, 2016,31(9):889-896. DOI： 10.3788/YJYXS20163109.0889.

Xin MA, Zhong-hui WEI, Xin HE, et al. Processing and feature extraction for three-dimensional bullet point cloud data[J]. Chinese journal of liquid crystals and displays, 2016, 31(9): 889-896. DOI： 10.3788/YJYXS20163109.0889.

摘要

为了解决传统算法中弹痕图像深度特征信息丢失的问题，本文提出一种能够计算出弹痕图像深度特征参数信息的三维点云图像特征提取算法。该方法根据棱线斜率变化从局部极值点中找到特征点，运用线性拟合法构建三角形对特征参数值进行计算，确定弹痕特征参数值的相似范围，通过利用相似范围对未知弹头进行判别，实现弹痕和枪的一致性确认。实验结果表明：所提出的算法在现有样本的条件下，弹痕比对的正确识别率达到90%以上，单组弹痕数据的转换、特征提取和参数计算共用时32.7 s。算法满足弹痕比对需求，可以对后续弹痕比对提供可信依据，具有一定的理论价值和实用意义。

Abstract

In order to solve the problem of bullet marks image depth feature information loss in traditional algorithm

we propose a three-dimensional bullet point cloud image feature extraction algorithm. The feature points are extracted from the local extremal points according to the change of ridge's slope. And the linear fitting method is utilized to construct the triangle in order to calculate the characteristic parameters and define the similar range of the characteristic parameters. Finally

the unknown bullet is discriminated through the similar range to ensure the consistency between the bullet and the gun. The experimental results show that correct recognition rate of bullet comparison reaches more than 90% under the condition of existing sample

and data processing of a single set of bullet data spends 32.7 s. The proposed algorithm satisfies the bullet comparison demand

provides credible basis for the following bullet comparison and has certain theory value and practical significance.

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references

IBIS TRAXHD3D:Ultra Electronics Forensic Technology offers the world’ s most advanced automated ballistic identification solution[R].2015, http://www.forensictechnology.com http://www.forensictechnology.com .

黄志松,王辉赞,姚雪峰,等.枪弹头痕迹自动比对方法的研究[J].数学的实践与认识,2010,40(15):105-111.

HUANG Z S,WANG H Z,YAO X F, et al. Research on automatic matching methods of bullet marks[J]. Mathematics in Practice and Theory, 2010,40(15):105-111.(in Chinese)

乔培玉,何昕,魏仲慧,等.高斯滤波器在子弹三维图像特征提取中的应用[J].液晶与显示,2012,27(5):708-712.

QIAO P Y,HE X,WEI Z H, et al. Application of Gaussian filter in extracting bullet feature of 3-D bullet image[J]. Chinese Journal of Liquid Crystals and Displays, 2012,27(5):708-712.(in Chinese)

凌剑勇.三维枪弹痕迹自动识别系统关键技术研究[D].长春:中国科学院研究生院(长春光学精密机械与物理研究所),2014. http://cdmd.cnki.com.cn/article/cdmd-80139-1014263887.htm

LING J Y.Research on automated 3-D firearms marks identification system and its' key technology[D].Changchun:University of Chinese Academy of Sciences (Changchun Institute of Optics,Fine Mechanics and Physics,Chinese Academy of Sciences),2014.(in Chinese)

韩冬松,何昕,魏仲慧,等.采用区域特征匹配的三维弹痕自动配准[J].液晶与显示,2014,29(5):761-767.

HAN D S,HE X,WEI Z H, et al. Automatic registration of 3-D bullet marks by matching regional features[J]. Chinese Journal of Liquid Crystals and Displays, 2014,29(5):761-767.

李马戍,龙正平,刘伯宁,等.枪弹头痕迹特征直线提取方法[J].兵工自动化,2010,29(11):39-41.

LI M S,LONG Z P,LIU B N, et al. Method of gun bullet mark feature line taking[J]. Ordnance Industry Automation, 2010,29(11):39-41.(in Chinese)

杨斌杰,鲁铁定.点云数据特征点提取方法的比较[J].江西科学,2015,33(1):10-14.

YANG B J,LU T D.The comparison of point cloud data feature point extraction method[J]. Jiangxi Science, 2015,33(1):10-14.(in Chinese)

张雨禾,耿国华,魏潇然.散乱点云谷脊特征提取[J].光学精密工程,2015,23(1):310-318.

ZHANG Y H,GENG G H,WEI X R.Valley-ridge feature extraction from point clouds[J]. Optics and Precision Engineering, 2015,23(1):310-318.(in Chinese)

王海晓,朱旭光.一种基于斜率变化间接提取轮廓特征点的算法[J].软件导刊,2010,9(11):66-67.

WANG H X,ZHU X G.An algorithm for extracting contour feature points based on slope variation[J]. Software Guide, 2010,9(11):66-67.(in Chinese)

冈萨雷斯.数字图像处理[M].2版.阮秋琦,译.北京:电子工业出版社,2007:505-507.

GONZALEZ R C. Digital Image Processing [M].2nd ed.RUAN Q Q,Trans.Beijing:Electronics Industry Publishing House,2007:505-507.(in Chinese)

RAHNAMA M,GLOAGUEN R.TecLines:a MATLAB-based toolbox for tectonic lineament analysis from satellite images and DEMs,Part 1:line segment detection and extraction[J]. Remote Sensing, 2014,6(7):5938-5958.

戴静兰,陈志杨,叶修梓.ICP算法在点云配准中的应用[J].中国图象图形学报,2007,12(3):517-521.

DAI J L,CHEN Z Y,YE X Z.The application of ICP algorithm in point cloud alignment[J]. Journal of Image and Graphics, 2007,12(3):517-521.(in Chinese)

BANNO A,MASUDA T,IKEUCHI K.Three dimensional visualization and comparison of impressions on fired bullets[J]. Forensic Science International ,2004,140(2/3):233-240.s

王红玉,冯筠,崔磊,等.应用显著纹理特征的医学图像配准[J].光学精密工程,2015,23(9):2656-2665.

WANG H Y,FENG Y,CUI L, et al. Medical image registration based on salient texture[J]. Optics and Precision Engineering, 2015,23(9):2656-2665.(in Chinese)

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