A nuclear environment monitoring method based on ionizing radiation response characteristics in visual images

doi:10.16265/j.cnki.issn1003-3033.2026.02.0619

Abstract

Abstract:

This article proposes a nuclear environment monitoring method based on ionizing radiation response characteristics in visual images. Through experimental analysis of the response characteristics of ionizing radiation to visual images, including statistical parameters such as mean, variance, skewness, and kurtosis of pixel values, the relationship between feature data and radiation dose rate was quantified, and the high-precision linear correlation of the fitting was verified. A two-dimensional wavelet packet decomposition is used to analyze high-frequency components in video images, and an algorithm is proposed to extract radiation response signals from complex backgrounds, achieving accurate monitoring of gamma ray radiation dose rates in nuclear environments. The experimental results indicate that within the gamma ray radiation dose rate range of 51.61 Gy/h to 479.24 Gy/h, there is a significant linear relationship between the number of response events and the dose rate. The correlation coefficients of the fitted curves are 0.998 9 and 0.999 3, respectively. In terms of pixel response characteristics, the mean and variance significantly increase with increasing dose rate, while skewness and kurtosis show an exponential downward trend. In addition, the experiment verified the influence of setting the pixel value threshold on radiation dose rate measurement. When the pixel value threshold is 130, the linearity of the fitting results is optimal. By using two-dimensional wavelet packet decomposition, the statistical analysis of high-frequency components in the image has further improved the accuracy of dose rate characterization, especially achieving maximum linearity in the diagonal components. This method can efficiently extract radiation response information in complex environments, achieve precise monitoring of gamma ray dose rates in nuclear environments, and provide technical support for emergency response to nuclear leaks and assessment of radioactive areas.

Key words: visual image, ionizing radiation, radiation response, radiation detection, gamma ray, dose rate, pixel sensor

CLC Number:

X945

HUANG Youjun, YOU Qiongyu, XU Shoulong, HOU Zhixiong, PENG Guowen. A nuclear environment monitoring method based on ionizing radiation response characteristics in visual images[J]. China Safety Science Journal, 2026, 36(2): 102-109.

Figures/Tables 9

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