一种快速实时的低信噪比红外点、斑点目标检测方法

针对红外弱小目标检测的重要性和困难性，首先采用一次门限进行比较预处理，然后根据目标的特点选取合适的高通模板进行图像空域滤波，滤波后进行自适应门限分割，将低信噪比的红外点目标从罱的背景中分割出来，最后点目标检测方法进行点合并，对同时存在的斑点和面目标进行检测，该算法可有效地减少运算量，可对同时存在的点，班，点，面目标进行实时快速检测。

Real-Time Speedy Detection of Infrared Dim Point and Spot Targets

Based on the features of dim infrared point targets, this paper adopts the method of threshold comparison before high pass filtering and the threshold segmentation after filtering, in order to separate the infrared point targets efficiently from low s/n and complex background. At the same time, spot targets are detected by combining point targets that have been separated. This algorithm can not only reduce the amount of operation but is also applicable to some complex cases where the point targets and spot targets exist at the same time.