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Research on three-dimensional positioning method of casing welds based on binocular vision

机译:基于双筒视觉的套管焊缝三维定位方法研究

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Many researchers have done a lot of research in the fields of welding automation and welding robots. The existing technology can achieve better results in applications where the shape and position of the weld are relatively fixed and the weld is easier to identify. For welds with inconspicuous appearance, irregular shape and complicated background such as the casing weld on copper pipe of refrigerator compressor. The existing technology is difficult to achieve stable and accurate automatic positioning and tracking of welds. In this paper, a three-dimensional positioning method for casing welds of copper pipe based on binocular vision is proposed. Firstly, Zhang's calibration method is used to compute the intrinsic and external parameters of the binocular vision measurement system. Secondly combine with morphological operation and basic image operation, the casing welds in complex scenes are segmented accurately. Finally, the binocular measurement model is used to complete the three-dimensional positioning and tracking of the casing welds in complex scene. The measurement results show that the measurement accuracy of the system can meet the requirements of vision guided automatic welding.
机译:许多研究人员在焊接自动化和焊接机器人领域做了很多研究。现有技术可以在焊缝形状和位置相对固定的应用中获得更好的结果,并且焊接更容易识别。对于具有不显眼的外观,不规则形状和复杂背景的焊缝,如冰箱压缩机铜管上的套管焊缝。现有技术难以实现稳定和准确的自动定位和焊缝跟踪。本文提出了一种基于双筒视觉的铜管壳焊接三维定位方法。首先,张的校准方法用于计算双目视觉测量系统的内在和外部参数。其次结合了形态学操作和基本图像操作,复杂场景中的套管焊缝精确地分段。最后,双目测量模型用于完成复杂场景中壳体焊缝的三维定位和跟踪。测量结果表明,系统的测量精度可以满足视觉引导自动焊接的要求。

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