期刊文献+

基于双目标定的渗滤液导排管道堵塞定位研究

Study on Blockage Location of Leachate Drainage Pipeline Based on Binocular Calibration
下载PDF
导出
摘要 为得到垃圾填埋场渗滤液导排管道堵塞位置信息,提出基于相机标定的管道内壁堵塞位置检测方法。首先对导排管道堵塞图像进行中值滤波和图像增强处理;其次根据传统相机标定所涉及到的坐标系以及引入的新坐标系之间的关系建立矩阵方程模型,再利用畸变矫正对模型参数进行优化,通过极线矫正和图像匹配获取堵塞目标点在左右图像的像素坐标;最后代入矩阵方程模型求解堵塞位置与相机间距。实验结果表明:实际距离为2~5 m内时测距结果误差≤3.5 cm,满足工程要求。 In order to get the location information of landfill leachate drainage pipeline blockage,a pipeline inner wall blockage location detection method based on camera calibration was proposed in this paper.Firstly,median filtering and image enhancement were applied to the blockage image of the drainage pipeline.Secondly,the matrix equation model was established according to the relationship between the coordinate system involved in the traditional camera calibration and the introduced new coordinate system.Secondly,the model parameters were optimized by distortion correction,and the pixel coordinates of the blockage target point in the left and right images were obtained by epipolar correction and image matching.Finally,the matrix equation model was used to solve the relationship between blocking position and camera spacing.The experimental results show that when the actual distance is within 2~5 m,the ranging error is no more than 3.5 cm,which meets the engineering requirements.
作者 陈亚宇 王宏达 孙骥晟 李建龙 CHEN Ya-yu;WANG Hong-da;SUN Ji-sheng;LI Jian-long(School of Mechanical and Equipment Engineering,Hebei University of Technology,Handan 056038,China)
出处 《管道技术与设备》 CAS 2021年第4期6-10,共5页 Pipeline Technique and Equipment
基金 河北省省级科技计划资助(20373901D)。
关键词 导排管道 双目视觉 堵塞定位 图像处理 相机标定 leachate drainage pipeline binocular vision blockage positioning image processing camera calibration
  • 相关文献

参考文献9

二级参考文献65

  • 1蔡虹,叶水生,张永.一种基于模糊聚类的组合BP网络挖掘方法[J].计算机工程与应用,2005,41(36):83-85. 被引量:2
  • 2李加庆,陈进,刘先,薛伟飞,陈延太.基于虚拟仪器的声场可视化系统[J].计算机工程与应用,2006,42(24):219-221. 被引量:1
  • 3王建华,韩红艳,王春平,朱元昌.CCD双目立体视觉测量系统的理论研究[J].电光与控制,2007,14(4):94-96. 被引量:26
  • 4Bakos G C,Tsaqas N F.Long distance non-contact high precision measurements[J].International Journal of Electronics,1993,75 (6):1269-1279.
  • 5Franz J G.Sensors for joint tracking in laser welding[EB/OL].http://www.scout-sensor.com.
  • 6Tsai R Y.An efficient and accurate calibration technique for 3D machine vision[C].In proc IEEE Conf on Computer Vision and Pattern Recognition.Miami Beach,FL1986:364-374.
  • 7Lenz Reimark,Tsai Ronger Y.Techniques for calibration of the scale factor and image center for high accuracy 3D machine vision metrology[J],IEEE Transactions on Pattern Analysis and Machine Intelligence,1988,10(5):713-720.
  • 8Tsai Roger Y.A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV camera and lenses[J].IEEE.J.Robotics Automat,1987,3(4):323-344.
  • 9李秀智,张广军.三目视觉图像的极线校正方法[J].光电工程,2007,34(10):50-54. 被引量:5
  • 10Andrea Fusiello, Emanuele Trucco, Alessandro Verri. A com- pact algorithm for rectification of stereo pairs [ J ]. Machine Vision and Applications ,2000 (12) : 16 - 22.

共引文献40

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部