摘要
在机器人的位置色标检测系统中,如何提高颜色识别的鲁棒性是一个比较难解决的问题。针对这个问题,以全自主服务机器人为平台,提出了一种检测系统在部分结构化的环境中基于颜色学习的实时图像处理的方法。该方法已较好地应用在全自主服务机器人的视觉检测系统中。
It′s a difficult problem how the positional color code tracking system of robot recognizes color target robustly and quickly. To solve the problem, employing the autonomous serve robot as research platform,this paper presents a color training method of real-time image processing for the robot tracking system in partly structured environment. The method has been well applied to vision tracking system of the autonomous service robot.
出处
《天津工程师范学院学报》
2005年第1期16-19,共4页
Journal of Tianji University of Technology and Education
基金
天津市自然科学基金资助项目(013602811).
