基于CBS人体安检图像的噪声滤除方法

Noise Removal Method for X- Ray Compton Back- Scattering Security Inspection Body Scanner

为滤除处于开放环境下的CBS人体安检图像上的噪声干扰,针对CBS人体安检图像噪声数据类型,对比研究了不同噪声滤除方法在CBS人体安检图像的应用效果,提出了一种面向CBS图像的混合中值高斯噪声滤除方法,基于PSNR和MAE的量化实验结果证明了该方法在CBS人体安检成像上的有效性。

In order to reduce noises introduced into image from X-ray Compton Back Scattering body scanner in an open application environment, according to the noise type analysis of CBS image which is followed by com-parative analysis of commonly used filtering methods, this paper presents one way of removing Gaussian noise and salt-and-pepper noise based on Gaussian filtering and average filtering.Quantification analysis of PSNR and MAE on CBS image illustrates its effectiveness.