针对单波段红外弱小目标检测难度大、信息量少的问题, 提出一种基于小波域的双色红外弱小目标检测算法。首先运用小波滤波器对双色图像进行分解, 利用双色图像的特征差异提出了不同的阈值确定方法对高频图像进行分割, 通过采用不同策略的布尔逻辑运算完成高频分割图像的融合, 最后运用形态学运算和多帧累积检测的方法完成弱小目标的检测。

It is difficult to detect infrared dim target in single-band because the message acquired is relatively insufficient. Aimed at solving this problem, an algorithm for infrared dim target detection in dual-band based in wavelet domain is introduced. The dual-band images are decomposed by wavelet filters firstly, and the different methods which are used to ascertain the thresholds is introduced by the feature difference in the dual-band images, then the high frequency images are segmented by the corresponding thresholds. The high frequency segment images are fused with different Boolean logic strategies afterwards. Finally the dim target detection is accomplished by morphological operation and multiple frames accumulative detection.