首页 /研究 /Bolting robot assistance system using image processing
OTHER

Bolting robot assistance system using image processing

Yung-Hak Mo, Byung-Wook Woo, Yungeun Choe, Jung-Min Park, Myo–Taeg Lim

发表年份
2010
引用次数
5

摘要

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.

关键词

Computer visionHough transformRobotArtificial intelligenceComputer scienceImage (mathematics)Image processingMobile robotEngineering

相关论文

查看 OTHER 分类全部论文