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红外背景抑制与小目标分割检测
引用本文:彭嘉雄,周文琳.红外背景抑制与小目标分割检测[J].电子学报,1999,27(12):47-51.
作者姓名:彭嘉雄  周文琳
作者单位:华中理工大图像识别与人工智能研究所,武汉,430074
基金项目:国防科技ATR重点实验室资助!97JS93-3.1.JW0506
摘    要:红外寻的导引头小目标图像的分割与检测是地空导弹和航空导弹的关键技术。本文研究用六种高通滤波器抑制大面积低频背景的效果与性能比较,在此基础上提出基于统计计算均值和直方图的自适应门限背景抑制与小目标分割方法。基于目标运动的连续性,规律性和噪声的随机性,研究连续性滤波器的设计和用流水线管道结构检测目标运动轨迹的方法,大量实验和比较结果检验了本文方法的正确性。

关 键 词:红外图像  背景抑制  高通滤波  自适应门限  目标分割  目标检测

Infrared Background Suppression for Segmenting and Detecting Small Target
PENG Jia-xiong,ZHOU Wen-lin.Infrared Background Suppression for Segmenting and Detecting Small Target[J].Acta Electronica Sinica,1999,27(12):47-51.
Authors:PENG Jia-xiong  ZHOU Wen-lin
Abstract:The Segmentation and detection of will target image for infrared homing guidance head are crucial technolyies for ground-air and surface-air missiles. This paper studies the effect and performance coparison of suppnaing largearea and low frequency background by use of six high-pass filters. Based on this, we propose an adaptive threshold method ofbackground supprasion and small target segmentation using image mean and histogram. In view of the continuity and regularity of motion for target and the randomnere for noise, the design of continuity filter and a technique via assembly line andpipeline scheme to detect target trajectory are considered. The methods rourched here are verified by a large number of resultS of experiments and comparisons.
Keywords:infrared image  background suppression  high-pass filtering  adaptive threshold  target Segmentation  target detection
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