基于局部关联信息的视频监控图像中γ辐射噪斑的消除方法  

Method for EliminatingγRadiation Plaque Noise in Video Surveillance Image Based on Local Correlation Information

作　　者：曹令 刘桂华[1,2] 邓豪[1,2] 邓磊 周炳宏[1,2] CAO Ling;LIU Guihua;DENG Hao;DENG Lei;ZHOU Binghong(School of Information Engineering,Southwest University of Science and Technology,Mianyang 621000,China;Robot Technology Used for Special Environment Key Laboratory of Sichuan Province,Southwest University of Science and Technology,Mianyang 621000,China)

机构地区：[1]西南科技大学信息工程学院,四川绵阳621000 [2]西南科技大学特殊环境机器人技术四川省重点实验室,四川绵阳621000

出　　处：《原子能科学技术》2022年第7期1413-1422,共10页Atomic Energy Science and Technology

基　　金：国防科工局核能开发科研项目([2016]1295);四川省科技厅重点研发项目(2021YFG0380)。

摘　　要：为消除γ辐射环境视频监控图像内大量形状不规则、分布无规律、能量不均衡的噪斑,提出一种利用图像局部相邻像素关联信息去除噪斑的方法。首先根据γ辐射环境视频监控图像噪斑像素值的突变特性分割噪斑区域,再利用噪斑与当前帧噪斑相邻干净区域的局部关联性及噪斑与相邻帧相同坐标干净区域像素点的局部关联性,以两个干净区域像素值为基准、像素值差值为关联度,采用步进式方法修复噪斑区域。实验结果表明,与传统的图像噪斑去除算法相比,本方法在量化指标和视觉感知上均有较大提高。该噪斑消除方法可有效去除γ辐射环境视频监控图像的噪斑,保留图像细节纹理信息。In order to eliminate a lot of plaque noises with irregular shape,irregular distribution and unbalanced energy included in video surveillance image ofγradiation environment,a method was proposed to remove the plaque noise by using the correlation information of the local neighboring pixel of the image.Firstly,according to the characteristic of the plaque noise pixel value mutation inγradiation environment video surveillance image,the plaque noise area was segmented.Then the plaque noise area was repaired by a step-by-step method with the pixel value of the two clean areas as the reference and with the pixel value difference as the correlation degree.In the procedure,a local correlation characteristic between a plaque noise area and neighboring clean area in the frame and another local correlation characteristic between the plaque noise area in the frame and the pixel of the same corridor clear area in the adjacent frame were used.The experiment results show that compared with the traditional image plaque noise removal algorithm,this method has a greater improvement in quantification indicator and visual perception.This noise removal method can effectively remove the plaque noise ofγradiation environment video surveillance image and retain the image detail information.

关 键 词：γ辐射环境 噪斑分割 局部关联信息 图像修复 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]