红外图像序列运动小目标检测的预处理算法研究

就如何检测复杂背景下低信噪比的运动小目标展开讨论,提出了用空间高通滤波方法改善图像质量,达到抑制背景噪声,增强小目标的效果,随后用似然比检测理论进行目标的初步分离,接着采用邻域判决的方法实现运动目标的进一步分离,最后用图像流分析法进行目标的最终检测。实验结果表明,该算法能够对小目标甚至是点目标的运动进行可靠的检测

The Study of Preprocessing Algorithm of Small Moving Target Detection in Infrared Image Sequences

In this paper, it is discussed how to detect the low SNR small moving target in the condition of complicated background. A space high pass filtering method is presented to improve the image quality for restraining the background noise and enhancing the small target, then the likelihood ratio detection theory is used to pick out a small number of possible moving targets and the neighborhood judging method is presented to pick out the smaller number of possible moving targets. Finally, the true target motion trajectory is detected in multi frame successive image by use of image flow analysis method. The experiment result indicates that this algorithm can reliably detect small target's motion, even the point target's.