摘要
在目标与背景对比度较低的情况下,红外对比度跟踪算法容易因分割阈值超出合理范围而导致目标捕获失败。本文基于红外对比度跟踪算法原理,研究红外探测器积分时间对目标与背景对比度的影响,分析出在目标亮度较小、较大和饱和时出现的三种典型低对比度场景下,提高对比度并增加有效分割阈值范围所对应的积分时间调整方法。
In cases where there is a low contrast ratio between the target and the background,the infrared contrast tracking algorithms are prone to target acquisition failures due to segmentation thresholds exceeding reasonable ranges.Based on the principle of the infrared tracking method,the influence of infrared detector integration time on target background contrast is analyzed.Three typical low contrast scenarios arising when target brightness is low,high,or saturated are identified.Adjustment methods for integration time are proposed to enhance contrast and expand the effective range of segmentation thresholds in these scenarios.
作者
张兆海
王潇
袁博资
沈晓兵
蔡天宇
ZHANG Zhao-hai;WANG Xiao;YUAN Bo-zhi;SHEN Xiao-bing;CAI Tian-yu(Air Force Early Warning Academy,Wuhan 430019,China;Air Force Research Institute,Beijing 100085,China)
出处
《激光与红外》
北大核心
2025年第10期1587-1592,共6页
Laser & Infrared
关键词
红外跟踪
积分时间
阈值分割
对比度
infrared tracking
integration time
threshold segmentation
contrast ratio
