This paper researches the application of morphology reconstruction algorithm in dim point target detection and tracing, mainly in background estimation and post processing stage after detection.
重点研究了形态学重构算法在微弱目标检测和跟踪中的应用，主要体现在对原始图像的背景估计过程和检测后处理过程。
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 method, named two point IRFPA nonuniformity correction method based on integration adjustment and noise equilibrium , to correct IRFPA nonuniformity in dim target detection system was presented.
提出了一种在弱目标检测系统中，线列或面阵红外焦平面的非均匀校正算法-基于可变积分时间和均衡噪声的两点现场校正算法。
For the dim point moving target detection of the CCD photoelectric image sequences, a new algorithm based on transform domain feature is proposed.
针对CCD光电序列探测图像中的弱小运动目标检测问题，提出了一种运动星空背景下的基于变换域特征的弱小目标检测算法。
For the dim point moving target detection of the CCD photoelectric image sequences, a new algorithm based on transform domain feature is proposed.
针对CCD光电序列探测图像中的弱小运动目标检测问题，提出了一种运动星空背景下的基于变换域特征的弱小目标检测算法。
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