基于机器视觉的迷宫机器人道路边缘获取  

Road edge acquisition for maze robot based on machine vision

作　　者：李春阳[1] 张景元[1] 刘文钊[2] 

机构地区：[1]山东理工大学计算机科学与技术学院,山东淄博255091 [2]淄博供电公司,山东淄博255000

出　　处：《山东理工大学学报（自然科学版）》2011年第3期74-78,共5页Journal of Shandong University of Technology:Natural Science Edition

摘　　要：针对嵌入式系统的中央处理器主频不高、数字图像处理运算较复杂的问题,提出了一套对基于嵌入式系统和机器视觉的迷宫机器人所获取的道路图像求边缘.道路边缘检测方法采用中值滤波、迭代算法分割图像、形态学闭运算和Roberts算子求边缘.实验结果表明,此方法边缘信息定位合理,计算简单,效率较高,对迷宫机器人来说是一种合理、有效的道路边缘检测方法.Now the embedded system＇s CPU frequency is not high and simultaneously digital image processing operations are quite complex.Considering the efficiency and effectiveness,this dissertation presented a method about road edge detection for the microrobots based on embedded system and image processing.The method is based on median filter,iteration algorithm,morphology closing operation to calculate the edge by roberts operator.The experimental result shows that the calculation using this method is relatively simple,high efficient,and that edge information localization is reasonable.For a microrobot,it is a reasonable and effective method for the edge detection of road.

关 键 词：迷宫机器人 图像处理 道路识别 边缘检测 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]