首页> 外文期刊>Forensic science international >Short range shooting distance estimation using variable pressure SEM images of the surroundings of bullet holes in textiles
【24h】

Short range shooting distance estimation using variable pressure SEM images of the surroundings of bullet holes in textiles

机译:使用纺织品的子弹孔周围环境的可变压力SEM图像的短程拍摄距离估计

获取原文
获取原文并翻译 | 示例
           

摘要

Modifications of cotton and polyester textiles due to shots fired at short range were analyzed with a variable pressure scanning electron microscope (VP-SEM). Different mechanisms of fiber rupture as a function of fiber type and shooting distance were detected, namely fusing, melting, scorching, and mechanical breakage. To estimate the firing distance, the approximately exponential decay of GSR coverage as a function of radial distance from the entrance hole was determined from image analysis, instead of relying on chemical analysis with EDX, which is problematic in the VP-SEM. A set of backscattered electron images, with sufficient magnification to discriminate micrometer wide GSR particles, was acquired at different radial distances from the entrance hole. The atomic number contrast between the GSR particles and the organic fibers allowed to find a robust procedure to segment the micrographs into binary images, in which the white pixel count was attributed to GSR coverage. The decrease of the white pixel count followed an exponential decay, and it was found that the reciprocal of the decay constant, obtained from the least-square fitting of the coverage data, showed a linear dependence on the shooting distance. (C) 2017 Elsevier Ireland Ltd. All rights reserved.
机译:通过可变压力扫描电子显微镜(VP-SEM)分析由于短程射击的射击引起的棉花和聚酯纺织品的修饰。检测到不同纤维破裂机制,作为纤维型和拍摄距离的函数,即融合,熔化,焦平和机械破损。为了估计触发距离,从图像分析确定作为距入射孔径向距离的径向距离的函数的大致指数衰减,而不是用EDX依赖于eDX的化学分析,这在VP-SEM中存在问题。在距入口孔的不同径向距离处获得一组背散射电子图像以区分微米宽的GSR颗粒。 GSR粒子和有机纤维之间的原子序数对比度允许找到稳健的过程,以将显微照片分段为二进制图像,其中白色像素计数归因于GSR覆盖范围。白色像素计数的减小遵循指数衰减,并且发现从覆盖数据的最小平方拟合获得的衰减常数的倒数显示了对拍摄距离的线性依赖性。 (c)2017 Elsevier Ireland Ltd.保留所有权利。

著录项

相似文献

  • 外文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号