一种改进的空间滤波除噪算法在道路识别中的运用  

Application of an improved spatial filtering denoising algorithm in road recognition

作　　者：陈俞玮 应骏[1] 王沛[1] Chen Yuwei;Ying Jun;Wang Pei(The College of Information,Mechanical and Electrical Engineering,Shanghai Normal University,Shanghai 200234,China)

机构地区：[1]上海师范大学信息与机电工程学院,上海200234

出　　处：《上海师范大学学报（自然科学版）》2018年第2期258-262,共5页Journal of Shanghai Normal University(Natural Sciences)

摘　　要：提出了一种在道路边缘像素连续的前提下,运用空间滤波方法除去道路图像中央的噪声的新算法,从而使得机器人在直线道路情况下能够清晰地识别出路和非路的部分.通过实验比较,结果表明该算法能够得到较好的除噪和道路拟合效果.A new algorithm based on the idea of spatial filtering is proposed to remove the central noise of the road images under the premise of continuous pixels on the road edge,so that the robots can clearly identify the way out and the non-way part in the case of straight road.The experimental results show that the algorithm has better denoising and road fitting effect.

关 键 词：空间滤波 噪声去除 道路识别 

分 类 号：TN919.8[电子电信—通信与信息系统]