一种枪弹痕迹自动比对算法

Automatic Comparison Algorithm of Bullet Marks

研究枪弹痕迹自动检测优化问题,为了能够准确有效地鉴定和分析枪弹痕迹,提出了一种枪弹痕迹的自动比对算法及实现方法。算法采用平滑滤波的方法去除弹痕数据中的噪声点,然后根据斜率的变化提取出弹头各个截面外表面轮廓上的特征点,最后采用相关性分析方法通过比对两个弹痕的特征点之间的相似度来判断两条弹痕的吻合程度,从而达到枪弹痕迹自动比对的目的。改进算法采用MATLAB编程实现,简单高效,误差较小,适合应用于大多数的枪弹痕迹的自动比对。

In order to check and analyze bullet marks accurately and effectively, an automatic comparison algo- rithm of bullet marks was presented. First, the algorithm eliminates noise within the bullet marks data with smoothing filter method. Then, it extracts the feature points of each section contour of bullets on the basis of the changes in slope. Finally, it judges the degree of coincidence of two bullet marks according to comparing the similarity among the feature points of two bullet marks with correlation analysis, which has access to the aim of automatic matching bullet marks. The algorithm programs with MATLAB, and has the advantages of simple, efficient, less errors, and suitable for most of the automatic comparison of bullet marks.