A new image denoising method for monitoring in intense radioactive environment

WANG Heng; SANG Rui-juan; ZHANG Hua; XIE Xing-zhe

doi:10.13873/j.1000-97872011.11.031

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A new image denoising method for monitoring in intense radioactive environment

更新时间：2025-09-11

- A new image denoising method for monitoring in intense radioactive environment
- Vol. 30, Issue 11, Pages: 59-61(2011)
- 作者机构：
  
  西南科技大学信息工程学院机器人技术重点实验室
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872011.11.031
  CLC： TP391.41
- Published：2011
- 稿件说明：
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[1]王姮,桑瑞娟,张华,解兴哲.一种强辐射环境监测下图像降噪的新方法[J].传感器与微系统,2011,30(11):59-61.

WANG Heng, SANG Rui-juan, ZHANG Hua, et al. A new image denoising method for monitoring in intense radioactive environment[J]. 2011, 30(11): 59-61.
[1]王姮,桑瑞娟,张华,解兴哲.一种强辐射环境监测下图像降噪的新方法[J].传感器与微系统,2011,30(11):59-61. DOI： 10.13873/j.1000-97872011.11.031.

WANG Heng, SANG Rui-juan, ZHANG Hua, et al. A new image denoising method for monitoring in intense radioactive environment[J]. 2011, 30(11): 59-61. DOI： 10.13873/j.1000-97872011.11.031.

摘要

强放射性环境的图像或视频监测是高危险环境遥控操作工程作业的基础

受高能离子射线的影响

直接获取图像的信噪比较低。针对该类噪声的特点

提出了一种改进的自适应中值滤波与自动阈值的小波变换相结合的复合图像去噪的处理方法。算法分析中选用了某辐照厂卡源故障处置时采集到的受γ射线影响的噪声图像

分析表明:该方法在降噪和边缘保持方面效果显著

能满足不同辐射环境下图像监测的需要。

Abstract

Image or video monitoring in intense radioactive environment is the foundation of remote operation of engineering in high risk environment.By the influence of energetic

the signal noise ratio（SNR）of image by direct accessing is very low.According to the characteristics of the noise.A composite image denoising method of processing is proposed

which combines adaptive median filter and wavelet transform of automatic threshold.In the algorithm analysis

the noise images is chosen by influence of γ-rays

which are collected when dealing with the source of one irradiation plant.Analysis shows that the proposed method has significant effect in reducing and keeping the edge of image

and it can meet the needs of monitoring of image in different radiation environment.

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references

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基于小波收缩阈值和维纳滤波的去噪方法 [J]. 胡洋,张颖,熊成基,陈雪波. 辽宁科技大学学报 . 2010(05)

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基于多层自适应背景模型的实时视频去噪算法 [J]. 沈未名,郭晓云,杨黎东. 计算机工程与应用 . 2008(19)

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