摘要
利用红外序列图像小目标运动的连续性进行背景恢复,滤除背景以提高信噪比,在门限检测后对图像进行边缘滤波以进一步提高检测概率,最后再一次运用目标的运动特性确认目标,减小虚警率,从而有效地检测出目标。实验结果证明,这种算法检测率高,而且计算简单,易于硬件实现。
The recovery of background depends on the continuity of the movement of small targets in infraredimage sequences. After filtering the background and threshold segmentation,the SNR is enhancedconsiderably. In order to increase the probability of the detection, the questionable targets on the edge ofimages will be eliminated. At last,the true target can be accurately detected after the speciality of movingtargets was applied once again. The effectiveness of the algorithm was proved by the experimental results forseveral infrared image sequences.
出处
《红外技术》
CSCD
北大核心
2005年第3期232-234,共3页
Infrared Technology
