[1]李春明,王萌萌,刘海洋,等.精确的线结构光中心提取算法研究[J].机械与电子,2017,(06):29-31.
　LI Chunming,WANG Mengmeng,LIU Haiyang,et al.Research on Accurate Algorithm for Extracting Linear Structured Light Center[J].Machinery & Electronics,2017,(06):29-31.
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精确的线结构光中心提取算法研究
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《机械与电子》[ISSN:1001-2257/CN:52-1052/TH]

卷:
期数:
2017年06期
页码:
29-31
栏目:
设计与研究
出版日期:
2017-06-24

文章信息/Info

Title:
Research on Accurate Algorithm for Extracting Linear Structured Light Center
文章编号:
1001-2257(2017)06-0029-03
作者:
李春明1; 王萌萌1; 刘海洋1; 杨鹏飞2
(1.河北科技大学信息科学与工程学院, 河北 石家庄 050000; 2.石家庄市京华电子实业有限公司工程部, 河北 石家庄 050000)
Author(s):
LI Chunming1;  WANG Mengmeng1;  LIU Haiyang1; YANG Pengfei2
(1.School of Information Science and Engineering,Hebei University of Science and Technology,Shijiazhuang 050000,China; 2.Shijiazhunag Jinghuadianzi Industrial Company Limited Engineering Department, Shijiazhuang 050000,China)
关键词:
图像处理;  条纹中心提取;  均方灰度梯度;  亚像素
Keywords:
image processing;  strip center extraction;  average squared gray gradient;  sub-pixel
分类号:
TN911.73
文献标志码:
A
摘要:
光条纹中心的精确提取是线结构光三维识别系统的重要环节。环境光干扰、被测物表面反射以及图像采集系统所产生的噪声都给光条提取增加了难度。文章提出了一种快速精确的线结构光条纹中心提取法。首先,对图像进行预处理,通过边缘法对结构光中心线进行边缘检测; 然后,用均方灰度梯度法确定结构光中心法线方向; 最后,对法线方向上像素进行灰度加权,从而精确提取出结构光条纹中心。实验结果证明,该算法光条纹中心的提取精度达到了亚像素级别。
Abstract:
The accurate extraction of light stripe center plays an important role in the linear structured light three-dimensional(3D)recognition system. The interference of ambient light, reflection of measured objects and noise generated by the image acquisition system increase the difficulty in extracting the light stripe. This paper proposed an accurate and fast method for extracting the center of linear structured light stripe. Firstly, the image was preprocessed, and the center of linear structure light was detected by the edge method. Secondly, the average squared gray and gradient method was used to determine the normal direction of the structured light center. Finally, the center of structured light was extracted accurately through weighting the pixel in the normal direction. The experimental results demonstrate that the extraction accuracy of this proposed algorithm has reached the level of the sub-pixel.

参考文献/References:

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[2] 胡斌,李德华,金刚,等.基于方向模板的结构光条纹中心检测方法[J].计算机工程与应用,2002,38(11): 42-45.
[3] Lukas J, Fridrich J, Goljan M. Detecting digital image forgeries using sensor pattern noise[C].Proceedings of SPIE -The International Society for Optical Engineering, 2006, 6072: 362-372.
[4] 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.
[5] 江永付,江开勇,林俊义. 线结构光光条中心亚像素精确提取方法[J].激光与光电子学进展,2015,52(7):179-185.
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备注/Memo

备注/Memo:
收稿日期:2017-01-09
基金项目:河北省重大科技成果转化专项项目(16040601Z)
作者简介:李春明(1972-),女,河北石家庄人,博士,副教授,研究方向为模式识别、运动目标检测与识别、机器人等; 王萌萌(1992-),女,河北石家庄人,硕士,主要研究计算机视觉,机器人等。
更新日期/Last Update: 2017-06-25