红外技术2015，Vol.37Issue(7)：544-552,9.
基于新Top Hat变换局部对比度的红外小目标检测
A New Top Hat Local Contrast based Algorithm for Infrared Small Target Detection
摘要
Abstract
False alarms generated by complex scenes of the background are a challenging problem for infrared small target detection, especially when the target is dim. To reduce false alarms, a small target detection algorithm based on local contrast is proposed. First, a modified top hat transform is applied to detect regions that are likely to contain a target. Then for each of the regions, we calculate the proposed local contrast measure. The target regions are then detected based on such measure. Experimental results on synthetic and real data show that the proposed method reduces false alarms generated by background and achieves high detection accuracy. Moreover, the algorithm is shown to be robust to the variation of the target intensity and fluctuation of the target neighborhood.关键词
小目标检测/红外图像/新型TopHat变换/局部对比度/复杂场景Key words
small target detection/infrared image/new top hat transform/local contrast/complex scenes分类
信息技术与安全科学引用本文复制引用
刘源,汤心溢,李争..基于新Top Hat变换局部对比度的红外小目标检测[J].红外技术,2015,37(7):544-552,9.基金项目
国家863计划资助项目,编号:2011AA7031002G （）
国家十二五国防预研项目,编号:41101050501. （）
