红外运动小目标检测算法研究

Reserch of Small Moving Infrared Target Indentification Algorithm

红外探测器受到各种外因、内因的干扰,导致成像模糊,噪声干扰大,使红外运动小目标检测技术成为一直难以实现突破的尖端技术难题,本文提出综合运用基于小波变换的高频信息提取算法、基于灰度形态学梯度的边缘检测算法和以圆形性特征量作为判决准则的边界提取算法的红外运动小目标检测算法。

Infrared detectors are interfered by varying external and internal factors, which leads to obscure imaging and huge noise jamming. Infrared moving small-target detection techniques have become difficult sophisticated technique problems to make a breakthrough in. An algorithm was tested, which synthesizes the algorithm of high frequency information extraction by small wavelet transform, the algorithm of edge detection on gray mathematical morphology, and the algorithm of boundary extraction with the rule of rotundity-like character measure.