改进滤波算法在机器人视觉目标图像处理中的应用研究  

Application of an Improved Filtering Algorithm to Robot Vision Target Image Processing

作　　者：谭志飞[1] 毛美姣[1] 龚娟[2] 

机构地区：[1]湘潭大学机械工程学院,湘潭411105 [2]湘潭大学信息工程学院,湘潭411105

出　　处：《机械科学与技术》2011年第5期823-826,832,共5页Mechanical Science and Technology for Aerospace Engineering

基　　金：湖南省教育厅一般项目(08C868)资助

摘　　要：针对传统的机器人视觉目标图像处理中将边缘信息与噪声均作为噪声处理,从而使机器人无法精确完成图像识别的问题,提出采用一种改进中值滤波与改进邻域均值滤波相结合的滤波算法来移除噪声。首先采用改进的中值滤波算法,用滑动大窗口分块处理来加快运行速度,并加入判断条件,区别边缘与噪声信息,避免边缘信息丢失,并去除噪声点;然后采用改进邻域均值滤波方法对图像边缘信息进行处理,从而保护好图像的边缘信息。仿真分析结果表明,该算法能较好地滤除噪声,明显优于经典的中值滤波与邻域均值滤波算法。In traditional robot vision target image processing,the edge information and noise are both used as noise,so the robot cannot recognize the image accurately.To deal with this problem,a filtering algorithm of the combination of an improved median filter and an improved neighborhood averaging filter is adopted to remove the image noise in the robot image recognition system.First,the improved median filter by a sliding big window block method is used to accelerate the speed.Then,in order to distinguish noises from edge informations,the conditions are added to avoid the edge information to be lost and to remove the noise points.Finally,the improved neighborhood averaging filter is used to process and protect the edge imformation.Simulation results show that the algorithm can remove the noises better,and is obviously better than the classical median filter algorithm and the neighborhood averaging filter algorithm.

关 键 词：机器人视觉目标 图像处理 改进中值滤波 改进邻域均值滤波 

分 类 号：TP29[自动化与计算机技术—检测技术与自动化装置]