To detect a moving point target that is submerged in noisy background is a very difficult problem.
要把淹没在噪声背景中的运动点目标检测出来是一个十分困难的问题。
The moving point target detection technology has been a hot issue in the area of signal and image processing.
运动点目标检测技术，是信号和图像处理领域的热点研究课题。
In this paper, we discussed an algorithm for decision trajectory during detecting slowly moving point target in low SNR.
本文讨论了低信噪比条件下缓动点目标检测技术中候选轨迹的确定算法。
Detection of moving point target in infrared sequence images with complex background is the emphasis and difficulty of target detection.
在复杂背景红外序列图像中，运动点目标的检测一直是研究的重点和难点。
A new nonparametric algorithm based on mathematical morphology is proposed for the detection of dim moving point target in infrared image sequence.
提出了一种新的基于数学形态学的红外图像序列中弱点状运动目标的非参数检测算法。
A new nonparametric algorithm based on mathematical morphology is proposed for the detection of dim moving point target in infrared image sequence.
提出了一种新的基于数学形态学的红外图像序列中弱点状运动目标的非参数检测算法。
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