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高斯滤波器在子弹三维图像特征提取中的应用
引用本文:乔培玉,何昕,魏仲慧,王方雨,林为才.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.
作者姓名:乔培玉  何昕  魏仲慧  王方雨  林为才
作者单位: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;中国科学院研究生院,北京 100049
2. 中国科学院长春光学精密机械与物理研究所,吉林长春,130033
摘    要:为了弹痕的自动比对,建立了基于结构光的子弹三维纹理信息获取系统。由于在采集三维信息时子弹的中轴线与采集系统的y坐标轴很难做到完全重合,这需要进行相应的坐标旋转,尤其是在子弹变形时,无法利用子弹近似圆柱提取这一信息,这都给弹痕提取带来了很大的困难。本系统采用高斯逼近滤波器的方法获取高斯滤波中线,然后将三维弹痕信息与高斯滤波中线相减,进而提取出子弹的弹痕信息。利用冲激响应不变法设计了十二级的IIR型数字高斯滤波器,所设计的高斯逼近滤波器最大幅度偏差只有1.38%,大大优于ISO11562规定的2.5%的最大幅度偏差。此方法使得弹痕提取过程更简单,提取结果更精确,对后续弹痕比对的准确率有明显的提升。

关 键 词:三维纹理  弹痕特征  高斯滤波器  高斯滤波中线
收稿时间:2012/2/28

Application of Gaussian Filter in Extracting Bullet Feature of 3-D Bullet Image
QIAO Pei-yu , HE Xin , WEI Zhong-hui , WANG Fang-yu , LIN Wei-cai.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.
Authors:QIAO Pei-yu  HE Xin  WEI Zhong-hui  WANG Fang-yu  LIN Wei-cai
Affiliation:1(1.Changchun Institute of Optics,Fine Mechanics and Physics, Chinese Academy of Sciences,Changchun 130033,China; 2.Graduate University of Chinese Academy of Sciences,Beijing 100049,China)
Abstract:In order to compare the bullet automatically,the 3D texture information acquisition system of the bullet based on the structure light is established.Because the central axis and acquisition system axis y is difficult to completely overlap when we acquired three-dimensional information of bullets,so the corresponding coordinate rotation is need,especially when the bullet was deformed,it is unable to utilize the information that the bullet is approximate a cylindrical,this is very difficult for bullet extraction.Therefore this paper used the Gaussian approximation filter to get the mean line determined by Gauss filter,and then 3-D bullet information subtracts from mean line determined by Gauss filter,the bullet texture was extracted.Twelve order IIR digital Gauss filter is designed using the impulse response method,its amplitude transmission characteristic deviation is less than 1.38%,significantly better than the ISO11562 specified 2.5%.This method makes the bullet extraction process more simply,and the extraction result is more accurately,improving the accuracy of bullet comparison obviously.
Keywords:3-D texture  bullet feature  Gaussian filter  mean line by Gaussian filter
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