摘要
研究了图像环境生成过程中红外目标特征信息提取所面临的重要技术问题,提出了自适应背景感知与对消处理、抑制背景的自动门限选取和形状分析与目标特征识别的层次化数据处理流程。基于数学形态学理论实现了图像背景感知的应用研究算法。实验测评表明,该算法对复杂变化的图像环境具有良好的滤波性能和稳健的适应能力。
In this paper,key issues about extraction of target character in creation of IR image environment are studied.It presents a multi-stage data flow that consists of three level functional modules: adaptive background perception,subtracting operation,selection of automatic threshold used for clutter suppression,shape analyzing and target character recognition.A morphology-based data processing approach proposed in this paper is applied to background estimation.Experimental results show that the method is able to provide good filtering results and robust adaptability to image environment with clutter background.
出处
《航空电子技术》
2012年第1期20-24,29,共6页
Avionics Technology
基金
国家自然科学基金(10477019)
上海市自然科学基金(05ZR14134)资助项目
关键词
红外技术
图像分析
目标环境
景象生成
IR technique
image analysis
target and environment
scene creation
