基于图像处理的放射源源号识别方法研究  

Research on Recognition Method of Radioactive Source Number Based on Image Processing

作　　者：蒋继成[1] 姚钢[1] 赵孝文[1] 张玉宝[1] JIANG Ji-cheng;YAO Gang;ZHAO Xiao-wen;ZHANG Yu-bao(Technical Physics Institute of Heilongjiang Academy of Science,Harbin 150086 China)

机构地区：[1]黑龙江省科学院技术物理研究所,黑龙江哈尔滨150086

出　　处：《自动化技术与应用》2020年第10期89-90,102,共3页Techniques of Automation and Applications

基　　金：2019年黑龙江省科学院科学研究基金项目(编号KY2019WL02);2019年黑龙江省科学院学科领域创新能力提升专项计划(编号XKLY2019WL01-01)。

摘　　要：放射源标号需要摄像系统在高强度电离辐射水下环境进行数据采集,由于γ射线对CMOS图像传感器的损伤,导致器件的加速老化,图像数据往往存在较大的噪声,宏观表现为椒盐噪声。本文针对已开发的源号识别系统,采用图像处理技术在模拟实验中视频采集的源号信息中添加脉冲噪声,应用Matlab中值滤波、反色处理、边沿检测等方法对图像去噪处理,实现标号的辨识。The radiation source number needs the camera system to collect data in the underwater environment of high-intensity ionizing radiation.Because of the damage of the CMOS image sensor caused by the gamma ray,the device is accelerated aging.The image data usually has a large noise,which is manifested as salt and pepper noise.Aiming at the developed source identification system,this paper uses image processing technology to add pulse noise to the source information collected in the video simulation experiment,and uses MATLAB median filter,inverse color processing,edge detection and other methods to denoise the image to realize the identification of the number.

关 键 词：Γ射线 中值滤波 PSNR评价 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]