红外与毫米波学报, 2003, 22 (2): 96, 网络出版: 2006-05-10
红外序列图像中缓动点目标的投影检测算法及其改进
IMPROVEMENT TO PROJECTION DETECTION OF SLOWLY MOVING POINT TARGET IN INFRARED IMAGE SEQUENCES
目标检测 形态学滤波 红外图像序列 低信噪比 点目标. target detection morphological filtering infrared image sequences low SNR point target
摘要
应用形态学滤波算法获得红外图像的背景,利用局域窗口估计的噪声均值和方差对噪声进行归一化,将归一化图像在时域上构成组合帧,然后在组合帧内对目标进行统计检测,分析得到了目标及噪声在组合帧中的统计分布. 针对噪声和目标幅值的不同分布特性,进一步对投影算法进行了改进,提高了投影算法的信噪比. 实际红外图像仿真表明,该算法可以成功检测信噪比为2的目标.
Abstract
The infrared image background is obtained by morphological filtering, and the infrared images are nomalized using the estimated noise mean and variance in a local window. Composite frame is formed by normalized image dara, and target detection is performed on the composite frame. Thus, target and noise statistics in a composite frame are obtained. Considering the different distribution of noise and target intensity, the projection algorithm is further modifed to impove its signal to noise ratio. Simulations of real infrared images proved that the modified projection algorithm can successfully detect targets with SNR equaling 2.
陈非, 敬忠良, 李建勋. 红外序列图像中缓动点目标的投影检测算法及其改进[J]. 红外与毫米波学报, 2003, 22(2): 96. 陈非, 敬忠良, 李建勋. IMPROVEMENT TO PROJECTION DETECTION OF SLOWLY MOVING POINT TARGET IN INFRARED IMAGE SEQUENCES[J]. Journal of Infrared and Millimeter Waves, 2003, 22(2): 96.
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