采用图像处理的螺栓机器人辅助系统

Y. Mo, Byung-Wook Woo, Yun-Geun Choe, J. Park, M. Lim
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引用次数: 4

摘要

螺栓机器人辅助系统防止操作员面对危险情况。螺栓机器人辅助系统由螺栓机器人控制系统和顶视图监控系统组成。为了实现对螺栓机器人的控制,采用了Camshift算法和圆霍夫变换。采用圆形霍夫变换估计螺栓孔的位置。为了跟踪螺栓孔,使用了Meanshift和Camshift。Camshift对以概率点表示的彩色图像进行操作,并应用一种称为Meanshift的非参数梯度密度算法来重新定位其操作窗口。算法通过设置搜索螺栓孔的区域,跟踪螺栓孔的位置。为了实现俯视监控系统,机器人的左右前后各安装了四个摄像头。每个来自相机的图像被用于校正畸变后的俯视图图像。本文提出了一种适用于俯视监控系统的图像处理算法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Bolting robot assistance system using image processing
The Bolting robot assistance system prevents operator to face dangerous situations. Bolting robot assistance system consists of bolting robot control system and top-view supervisory system. In order to control a bolting robot, Camshift algorithm and circular Hough transform are used. To estimate location of bolt hole, circular Hough transform is used. In order to track a bolt hole, Meanshift and Camshift are used. Camshift operates on color image represented by probability point and applies a non-parametric gradient density called Meanshift algorithm to re-center its operating window. By setting region to search a bolt hole, the algorithm will track the location of the bolt hole. In order to make top-view supervisory system, four cameras are installed at left, right, front and back of the robot. Each image from the camera is used to make the top-view image after correcting distortion. This paper proposes the image processing algorithm which is suitable for top-view supervisory system.
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