摘要
目前法医鉴定受伤疤痕面积主要采用人工的方式,其存在一定的不稳定性和时耗问题。因此,提出了基于三维图像的疤痕面积计算的法医鉴定方法。首先使用三维激光扫描仪获取待鉴定皮肤的三维图像数据;其次对数据进行预处理,除去背景环境部分以及噪点,同时通过下采样调整点云分辨率;然后使用颜色区域生长方法,对伤疤进行自动区域分割,并辅以人工交互以调整目标疤痕区域;最后利用曲面重建后的目标区域来计算疤痕面积。实验结果表明,所提方法与当前法医数字化处理方法相比,误差保持在5%以内,耗时减少了20%以上。
At present,forensic medicine mainly uses artificial methods to identify the area of injured scars,which has some instability and time-consuming problems.Therefore,a forensic identification method based on the 3D image to calculate the scar area is proposed.Firstly,a 3D laser scanner is used to obtain 3D image data of the unidentified scar.Secondly,the data is preprocessed to remove the background and noise,and the point cloud resolution is adjusted by down-sampling.Then the color area growth method is used to perform automatic region segmentation,also manual interaction is supplemented to adjust the target scar area.Finally,after surface reconstruction,the target scar is used to calculate its area.The results show that,compared with the current digital processing method of forensic medicine,the error is kept within 5%and the time consumption is reduced by more than 20%.
作者
姚楠
张征
YAO Nan;ZHANG Zheng(School of Artificial Intelligence and Automation,Huazhong University of Science and Technology,Wuhan 430074,China)
出处
《计算机科学》
CSCD
北大核心
2021年第S02期308-313,318,共7页
Computer Science
关键词
法医鉴定
三维图像处理
点云分割
曲面重建
面积计算
Forensic identification
3D image processing
Point cloud segmentation
Surface reconstruction
Area calculation
