一种基于受电弓图像的混合滤波算法  

A hybrid filtering algorithm based on pantograph image

作　　者：陈壮 姚小文[1] 张永[1] 邢宗义[1] 

机构地区：[1]南京理工大学自动化学院,江苏南京210094

出　　处：《广西大学学报（自然科学版）》2017年第5期1780-1786,共7页Journal of Guangxi University（Natural Science Edition）

基　　金：国家重点研发计划项目(2016YFB1200402)

摘　　要：针对受电弓图像采集中的混合噪声问题,提出一种基于ABDND算法与改进均值滤波算法的混合滤波算法。将中值滤波算法与ABDND算法进行结合,对原始图像中的脉冲噪声进行抑制,针对均值滤波算法提出了一种改进方法,将该方法用于对高斯噪声的抑制,从而消除了受电弓图像中的干扰噪声,并通过均方差误差(MES)和峰值信噪比(PSRN)双重指标对滤波算法性能进行验证。结果表明:该算法能够有效滤除混合噪声,具有算法简单,优于传统滤波算法的特点。In order to solve the problem of impulsive noise and Gauss noise in Pantograph image, a hybrid filtering algorithm based on ABDNN algorithm and an improved mean filtering algorithm is proposed. Firstly, the median filtering algorithm based on ABDND is used to suppress the impulsive noise. Secondly, an improved mean filtering algorithm is designed for suppressing the Gauss noise, and the hybrid noises in the pantograph image are filtered step by step. Finally, the performance of the filtering algorithm has been validated by mean square error （MES） and peak signal to noise ratio （PSNR）. The results show that the algorithm can effectively remove hybrid noise, having better effect than the traditional filtering algorithms and the advantages of simple principle and good filtering effect.

关 键 词：受电弓 高斯噪声 脉冲噪声 ABDND 均值滤波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]