摘要
对红外弱小目标的检测 ,关键是将目标从由地物、云团造成的复杂背景中有效地分割出来。采用在高通滤波前先进行一次背景抑制的预处理方法 ,以校正由温度非线性引起的噪声。再对高通滤波后的信号进行自适应门限分割的方法 ,更好地将低信噪比的红外点目标从周围的背景中分割出来 ,最后利用点目标检测的方法 ,进行点聚合 ,对同时存在的斑点、面目标也进行了检测。该算法可有效地减小运算量 ,对快速、实时和点、斑点、面目标同时存在的复杂情况具有一定的实用价值。
According to the features of infrared dim point targets, this paper adopts the method of background suppression before high-pass filter in order to suppress the non linear distribution and then the threshold segmentation in order to separate the infrared point targets efficiently from low SNR and complex background. At the same time, the spot targets are detected by aggregating point targets that have been separated. This algorithm can not only reduce operation but also is applicable to some complex cases where the point targets and spot targets exist at one time.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2001年第8期40-41,60,共3页
Systems Engineering and Electronics
关键词
图像识别
目标检测
红外成像
Image recognition
Background noise
Target detection
