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Target positioning method in binocular vision manipulator control based on improved canny operator

机译:基于改进的罐头算子的双目视觉机械手控制目标定位方法

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摘要

In order to improve the accuracy of binocular vision manipulator control, a target positioning method based on improved Canny operator is proposed. First, the image acquired by the left and right cameras is converted into an HSI color model, and the range of the target in the image is located by the image color feature as a region of interest (ROI). Then, the improved Canny edge detection algorithm is used to detect the target in the ROI image, extract the target contour, and determine the center position of the target. These processes are performed on the left and right images, respectively, to obtain the center of the target on the left and right images, and then the three-dimensional coordinates of the target with respect to the camera are determined by triangulation. The experimental results show that the method can accurately detect and locate the target position, and the positioning error is 2.4%. Therefore, it can provide accurate coordinates for the manipulator to perform related tasks.
机译:为了改善双眼视觉机械手控制的精度,基于改进Canny算子的目标定位方法,提出了首先,由左和右摄像机获取的图像被转换为​​HSI颜色模型,并且图像中的目标的范围由图像颜色特征定位为感兴趣的区域(ROI)。然后,使用改进的罐头边缘检测算法用于检测ROI图像中的目标,提取目标轮廓,并确定目标的中心位置。这些过程分别在左图像和右图像上执行,以获得左侧和右图像的目标的中心,然后通过三角测量确定目标相对于相机的三维坐标。实验结果表明,该方法可以精确地检测和定位目标位置,定位误差为2.4%。因此,它可以为机器人提供准确的坐标,以执行相关任务。

著录项

  • 来源
    《Multimedia Tools and Applications》 |2020年第14期|9599-9614|共16页
  • 作者

    Yi Han; Zenan Chu; Kai Zhao;

  • 作者单位

    School of Mechanical Science and Engineering Huazhong University of Science and Technology Wuhan 430074 China Department of Computer Science and Information Engineering Anyang Institute of Technology Anyang 455000 China;

    Department of Computer Science and Information Engineering Anyang Institute of Technology Anyang 455000 China;

    Department of Computer Science and Information Engineering Anyang Institute of Technology Anyang 455000 China College of Information and Control Engineering China University of Petroleum (East China) Dongying 257000 China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Binocular vision; Robotic arm; Target positioning; Improved Canny operator; Edge detection;

    机译:双筒望远镜;机器人手臂;目标定位;改进的罐头运营商;边缘检测;

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