针对三维枪弹痕迹比对中的数据配准问题，提出了一种采用区域特征匹配的配准算法。在通过干涉仪获取枪弹痕迹三维数据后，首先采用基于剪切波的多尺度几何分析方法对数据去噪，以保证去除噪声的同时减少有效信息的损失，然后采用改进的一维高斯滤波器分离三维枪弹痕迹中的轮廓信息和纹理细节，另外，将三维弹痕纹理信息进行分区，并通过纹理信息中擦划痕迹明显的特征区域进行数据配准，最后，在配准过程中引入齐次变换矩阵以提高配准精度，并采用计算不同数据间互相关测度值的方法评价配准效果，通过纹理信息的配准结果完成原始三维枪弹痕迹的配准。实验结果表明，所提出的配准算法能够提高弹痕自动比对正确率，在现有样本及自动比对方法情况下，能够将比对正确率从90%提高至98%。

For 3D bullet marks on data registration problem, a registration algorithm by matching regional features is proposed. After 3D data of bullet marks obtained through interferometer, first of all, multiscale geometric analysis based on shearlet is adopted to remove the noise while reducing the loss of effective information; and then, the contour and texture of bullet marks is separated by an improved onedimensional Gaussian filter.Besides,this paper partitions the texture information of 3D bullet marks,and makes the use of obvious effect of the brush strokes from texture information of the feature area for data registration.Finally,we introduce the homogeneous transformation matrix in registration process for improving the registration accuracy,compute the cross-correlation values of different data to evaluate registration effect,and complete the original 3D bullet marks registration according to the effect of texture registration.Experimental results show that the proposed registration algorithm can improve the accuracy of automatic bullet marks registration, the existing sample and automatic registration method can improve the correct rate from 90% to 98%.