红外技术2024，Vol.46Issue(10)：1154-1161,8.
基于离散系数与Harris角点的微光像增强器闪烁噪声测试方法
Flicker Noise Testing Based on a Discrete Coefficient and Harris Corner Point Detection for a Low-light Image Intensifier
刘峰阁 1常乐 1苏天宁 1刘倍宏 1成帅 1朱荣胜 1姬明 1肖杰 1赵航 1张理淞1
作者信息
- 1. 北方夜视技术股份有限公司,云南 昆明 650217
- 折叠
摘要
Abstract
To compensate for the insufficient signal-to-noise ratio,which cannot be accurately localized in two-dimensional space to analyze the flicker noise characteristics of an image intensifier,this study designs a low-light image intensifier flicker noise test method based on a discrete coefficient and Harris corner point detection for the image intensifier flicker noise characteristics.In this method,a high-frame-rate image acquisition system based on a Gsense400BSI CMOS image sensor was used to realize flicker noise image acquisition that matched the afterglow time of the fluorescent screen of the image intensifier.By calculating the pixel-level discrete coefficients of the images acquired from consecutive multiframes,a hotspot map was visualized.In addition,the Harris corner detection algorithm was used to accurately analyze the flicker noise in each region of the fluorescent screen of the image intensifier and mark the bright noise spots on the fluorescent screen.The experimental results show that this method can realize the two-dimensional analysis and localization of the flicker noise of the image intensifier and thus provide technical support for the performance optimization of the image intensifier and testing of noise characteristics.关键词
像增强器/闪烁噪声/离散系数/角点检测/噪声标记Key words
image intensifier/scintillation noise/dispersion coefficient/angular point detection/noise marker分类
计算机与自动化引用本文复制引用
刘峰阁,常乐,苏天宁,刘倍宏,成帅,朱荣胜,姬明,肖杰,赵航,张理淞..基于离散系数与Harris角点的微光像增强器闪烁噪声测试方法[J].红外技术,2024,46(10):1154-1161,8.
