摘要
传统三维重构方法通过阵列图像重构三维图像,未分析目标同成像系统间的动态变化性,且没有对二者间的距离信息进行补偿,导致重构效果和效率差,为此提出基于距离选通激光成像系统的三维图像重构方法。首先通过距离选通三维成像原理获取各帧图像相对间距,使用二值化算法求解目标图像距离值,并采用质心算法弥补选通门宽较高或激光脉冲较大时距离信息不精确的缺点,获取精确距离信息;然后使用运动补偿对距离信息实施运算,运算距离信息实现三维图像重构,最后实验结果表明,本文方法完成静态目标三维图像重构时的结果与实际距离值一致,平均差异约为0.045m;动态目标三维重构的平均差错率为10.32%、平均重构时间为1.31s,表明该方法进行三维图像重构耗时短,效果好。
Traditional 3D reconstruction methods reconstruct 3D images from array images without analyzing the dynamic changes between the target and the imaging system,and without compensating the distance information between them,resulting in poor reconstruction effect and efficiency.Firstly,the relative distance of each frame is obtained by the principle of range-gated three-dimensional imaging.Then,the binary algorithm is used to solve the distance value of the target image.The centroid algorithm is used to compensate for the inaccuracy of the distance information when the gate width is high or the laser pulse is large.The motion compensation is used to obtain the accurate distance information.Finally,the experimental results show that the method is consistent with the actual distance value,the average difference is about 0.045 m,and the average error rate is 10.32%and the average reconstruction time is 1.31 s.The three dimensional image reconstruction method proposed is time-consuming and effective.
作者
王柏娜
高煜妤
WANG Baina;GAO Yuyu(Liren College of Yanshan University,Qinghuangdao Hebei 066004,China)
出处
《激光杂志》
北大核心
2019年第6期50-54,共5页
Laser Journal
基金
河北省教育厅高等学校科技计划青年基金项目(No.QN20131058)
秦皇岛市科学技术研究与发展计划项目(No.201502A020)
关键词
距离选通
激光成像系统
三维图像重构
二值化
质心算法
运动补偿
range-gated
laser imaging system
3D image reconstruction
binarization
centroid algorithm
motion compensation