小波域自适应滤波的红外弱小目标检测  

Dim Small IR Target Detection Based on the Wavelet Domain Adaptive Filtering

作　　者：孙国栋[1] 吉书鹏[1] 周桢[1] 

机构地区：[1]中国空空导弹研究院,河南洛阳471009

出　　处：《航空兵器》2011年第3期20-23,共4页Aero Weaponry

摘　　要：针对红外弱小目标检测,在图像自适应阈值降噪的基础上,提出了一种小波域自适应滤波的检测算法。该方法利用图像小波分解后高低频分离的特点,采用基于Context模型的自适应滤波器对含有目标的高频系数进行处理,最后采用自适应门限进行二值化图像分割以检测出目标。实验结果表明,与Top-hat滤波相比,该方法能够更有效地检测出红外弱小目标。Based on the image adaptive noise reduction,a new method concerning small target detection from infrared image（IR） is presented with Context model adaptive filter in wavelet domain.Using the features that the high and low frequency of the image is separated after wavelet transform,this method processes the high frequency that including target signal with a Context-based adaptive filter.Then the target signal can be detected by the way of image binarization segmentation with adaptive threshold.Experimental results show that it can detect the target more effectively compared with the Top-hat filtering.

关 键 词：小波变换 阈值降噪 自适应滤波 弱小目标检测 

分 类 号：TP75[自动化与计算机技术—检测技术与自动化装置]