Because energy value of single frame infrared small target is higher than that of the background and noise,a detection algorithm of single frame infrared small target based on local features is proposed. The frequency relationship in the single frame infrared image was analyzed firstly. According to frequency difference of the infrared small target and the background,background interference was filtered out by a second-order Butterworth low-pass filter. Then adaptive threshold segmentation was done by setting the energy and the gray,and the suspected targets were kept. Finally,the infrared small target contour was highlighted by the improved Laplacian operator. Through infrared image simulation experiment,the method can detect the single frame infrared small target in the complex airspace quickly and accurately.
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吴涛,何文忠,陈晓露.基于局部特征的单帧红外小目标检测算法[J].激光与红外,2016,46(3):368~371 WU Tao, HE Wen-zhong, CHEN Xiao-lu. Detection algorithm of single frame infrared small target based on local features[J]. LASER & INFRARED,2016,46(3):368~371