Vision Inspection and Image Segmentation of Hedge Pruning Mobile Robot

摘要：

The greening model of the highway central partition belt was briefly introduced in this paper, including a monocultural plant and interval plant. By analyzing the characteristics of the central partition belt of the highway, we proposed the vision detection system which was based on vision and ultrasonic sensors to extract the graphic information on hedge. The image segmentation algorithm on operational objectives which was based on color was given, according to a single color planting in the highway central partition belt. We conducted contrast test analysis and gave the segmentation result about many hedge images on noon and nightfall, by using color space operator, green channel and the green factor segmentation algorithm. The result showed that color space operator segmented image was easy to compute and not sensitive to light, higher efficiency. The error of the geometric center line after image segmentation is accepted.

关键词： Hedge Pruning Robot Vision Image Segmentation

作者: Shuhai Jiang Yong Zhou Pei Sun Ting He

作者单位: Institute of Intelligent Control and Robotic Technology Nanjing Forestry University Nanjing, Jiangsu Institute of Intelligent Control and Robotic Technology Nanjing Forestry University Nanjing,Jiangsu,

会议类型: 国际会议

会议名称: The 10th International Conference on Intelligent Technologies(第十届智慧科技国际会议 InTech09)

会议地点: 桂林

会议语种:英文

页码: 196-201

在线出版日期: 2009-12-12（万方平台首次上网日期，不代表论文的发表时间）