[1]姚海滨,翁金平,程筱胜,等.面向实时三维扫描的交叉激光中心自适应 精确提取算法[J].南京理工大学学报(自然科学版),2016,40(06):708.[doi:10.14177/j.cnki.32-1397n.2016.40.06.011]
 Yao Haibin,Weng Jinping,Cheng Xiaosheng,et al.Accurate adaptive extracting algorithm of cross laser stripe center for real-time 3D scanning[J].Journal of Nanjing University of Science and Technology,2016,40(06):708.[doi:10.14177/j.cnki.32-1397n.2016.40.06.011]
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面向实时三维扫描的交叉激光中心自适应 精确提取算法
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《南京理工大学学报》(自然科学版)[ISSN:1005-9830/CN:32-1397/N]

卷:
40卷
期数:
2016年06期
页码:
708
栏目:
出版日期:
2016-12-30

文章信息/Info

Title:
Accurate adaptive extracting algorithm of cross laser stripe center for real-time 3D scanning
文章编号:
1005-9830(2016)06-0708-07
作者:
姚海滨1翁金平2程筱胜2崔海华2
1.扬州市职业大学 机械工程学院,江苏 扬州 225009; 2.南京航空航天大学 机电学院,江苏 南京 210016
Author(s):
Yao Haibin1Weng Jinping2Cheng Xiaosheng2Cui Haihua2
1.School of Mechanical Engineering,Yangzhou Polytechnic College,Yangzhou 225009,China; 2.School of Mechanical and Electrical Engineering,Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China
关键词:
三维扫描 交叉激光 激光扫描 梯度阈值 梯度图像 直方图 中心提取
Keywords:
three dimensional scanning cross laser laser scanning gradient threshold gradient images histograms center extraction
分类号:
O438
DOI:
10.14177/j.cnki.32-1397n.2016.40.06.011
摘要:
针对激光扫描的普适性问题,提出1种基于自适应梯度阈值和Harrise角点跟踪的交叉激光中心提取方法。由梯度图像直方图自适应确定二值化阈值,以此提取激光边缘并计算激光条初始位置。结合Hessian矩阵计算初始中心的亚像素中心,提取图像中交叉激光的交叉点。利用Harrise角点跟踪算法提取实时三维扫描过程中的交叉点,并以此分割出2条激光线,完成交叉激光对应的物空间重建。实验结果证明该文算法具有较高的鲁棒性,误差小于0.05像素,经GPU加速处理,单张图像提取时间小于2 ms。
Abstract:
A cross laser stripe center extracting algorithm is proposed based on an adaptive gradient threshold and Harrise corner point tracking algorithm for the universality of laser scanning.A binary threshold is determined adaptively using a gradient image histogram,and the laser edge is found and the initial position of stripes is calculated.The sub-pixel positions of the cross laser stripe center are calculated using the Hessian matrix,and the cross point of the cross laser stripes is extracted.The cross point of real-time three dimensional(3D)scanning is extracted using Harrise corner point tracking algorithm and two laser stripes are separated,and the object space of the cross laser stripes is rebuilt.Experimental results show that this algorithm is robust; the error of this algorithm is less than 0.05 pixel; it takes 2 ms to process one frame by GPU acceleration.

参考文献/References:

[1] Lerones P M,Vélez D O,Rojo F G,et al.Moisture detection in heritage buildings by 3D laser scanning[J].Studies in Conservation,2016,61:46-54.
[2]S'wierczyński,Sawomir,Zwolan P.Harbour infrastructure inventory development with 3D laser scanning method[J].Annual of Navigation,2016,22(1):99-108.
[3]Wang Yutao,Feng H Y.Effects of scanning orientation on outlier formation in 3D laser scanning of reflective surfa-ces[J].Optics & Lasers in Engineering,2016,81:35-45.
[4]赵婧,王永昌,刘凯.一种抑制相位测量轮廓术饱和误差的方法[J].中国激光,2013,40(10):180-187.
Zhao Jing,Wang Yongchang,Liu Kai.New method of restraining the saturated error in phase measuring profilometry[J].Chinese Journal of Lasers,2013,40(10):180-187.
[5]Takeda M,Mutoh K.Fourier transform profilometry for the automatic measurement of 3-D object shapes.[J].Applied Optics,1983,22(24):3977-3982.
[6]李云鹏,田庆国,张翔宇.线激光人体三维扫描仪多传感器同步标定方法[J].中国激光,2013,40(10):215-221.
Li Yunpeng,Tian Qingguo,Zhang Xiangyu,et al.Multi-sensor synchronous calibration method for line laser human-body 3D scanner[J].Chinese Journal of Lasers,2013,40(10):215-221.
[7]刘振,李声,冯常.基于互相关算法的激光条纹中心提取[J].中国激光,2013,40(5):197-202.
Liu Zhen,Li Sheng,Feng Chang.Laser stripe center extraction based on cross-correlation algorithm[J].Chinese Journal of Lasers,2013,40(5):197-202.
[8]孙军华,王恒,刘震,等.钢轨磨耗动态测量中激光光条中心的快速提取[J].光学精密工程,2011,19(3):690-696.
Sun Junhua,Wang Heng,Liu Zhen,et al.Rapid extraction of laser stripe center in dynamic measurement of rail wear[J].Optical Precision Engineering,2011,19(3):690-696.
[9]沈国峰.基于双目立体视觉的牙颌模型测量技术研究[D].南京:南京航空航天大学机电学院,2013.
[10]程俊廷,赵洪锋.十字激光线扫描立体匹配算法[J].黑龙江科技学院学报,2013,23(5):472-474.
Cheng Junting,Zhao Hongfeng.Stereo matching algorithm for cross laser line scanning[J].Journal of Heilongjiang Institute of Science and Technology,2013,23(5):472-474.
[11]许燕,胡广书,商丽华,等.基于Hessian矩阵的冠状动脉中心线的跟踪算法[J].清华大学学报(自然科学版),2007,47(6):889-892.
Xu Yan,Hu Guangshu,Shang Lihua.Tracking algorithm based on Hessian matrix of coronary artery centerline[J].Journal of Tsinghua University(Natural Science Edition),2007,47(6):889-892.
[12]孙军华,吴子彦,刘谦哲,等.大视场双目视觉传感器的现场标定[J].光学精密工程,2009,17(3):633.
Sun Junhua,Wu Ziyan,Liu Qianzhe,et al.Field calibration of stereo vision sensor with large FOV[J].Opt Precision Eng,2009,17(3):633.
[13]Zhang Zhengyou,Deriche R,Faugeras O,et al.A robust technique for matching two uncalibrated images through the recovery of the unknown epipolar geometry[J].Artificial Intelligence,1994,78(12):87-119.

备注/Memo

备注/Memo:
收稿日期:2016-09-03 修回日期:2016-11-14
基金项目:国家自然科学基金(51305201); 江苏省自然科学基金(BK20130793); 江苏省博士后科学基金(1301104C); 江苏省精密与微细制造技术重点实验室开放课题
作者简介:姚海滨(1965-)男,工程硕士,副教授,主要研究方向:机器视觉和工业检测,E-mail:yzyaohaibin@163.com。
引文格式:姚海滨,翁金平,程筱胜,等.面向实时三维扫描的交叉激光中心自适应精确提取算法[J].南京理工大学学报,2016,40(6):708-714.
投稿网址:http://zrxuebao.njust.edu.cn
更新日期/Last Update: 2016-12-30