摘要
为了实现玉米智能收获机器人路径的识别,采用图像处理技术对玉米智能收获机器人行走垄行图像进行采集,并对其进行8邻域均值滤波器去噪和Prewitte算子边缘检测等技术处理,获得玉米收获机器人的行走路径,从而为实现机器人在玉米田间的自动行走和作业奠定技术基础。实验结果表明,该方法快速、准确,能实时检测出玉米智能收获机器人的行走路径。
In order to realize the path recognition of the corn harvest robot, this study uses image processing technology to collect the image. After image acquisition used in edge detection. Then the walking , 8 -neighbor average filter is used to de-noising and Prewitte operator is path of the robot is found that is the basis for the robot to walk and operate automatically in corn fields. Experimental results show that the method is rapid, accurate, real-time for the detection of robot walking path.
出处
《农机化研究》
北大核心
2010年第2期9-12,共4页
Journal of Agricultural Mechanization Research
基金
陕西省科技攻关项目(14210110)
国家大学生科技创性项目(G2007031)
