摘要
提出一种有效的车载折反射全景侦察系统电子稳像算法,通过分析系统成像原理和应用环境以及现有电子稳像算法的一般流程,提出稳像方案,并建立了稳像模型;根据稳像模型估计运动参数时,针对图像中包含运动物体的情况提出了相似度阈值法;为了防止过稳现象提出了过稳阈值法,为了平滑图像序列采用了Kalman滤波.数值实验结果表明,该算法能明显减轻序列抖动显现,在一定分辨率下能实时扫描真实场景.
An effective algorithm of electronic image stabilization（EIS） of catadioptric panoramic reconnaissance system on vehicle is presented.The key techniques of this developed algorithm involve in the following three aspects.First,a scheme of image stabilization is put forward and a model of image stabilization is built on the basis of analyzing the imaging principle,its application conditions and the flow of the existing EIS algorithms.Second,considering the mobile object is included in the image,the comparability threshold should be determined when the mobile parameters are being estimated using the model of image stabilization.Third,the excessive stabilizing threshold is necessary to prevent the occurrence of excessive stabilization,and the Kalman filtering is adopted to smooth the image sequences.Numerical experimental results show that this algorithm can effectively smooth out the unwanted motion and follow the intentional camera movement with certain resolution.
出处
《北京理工大学学报》
EI
CAS
CSCD
北大核心
2010年第12期1475-1479,共5页
Transactions of Beijing Institute of Technology
基金
北京理工大学国家重点实验室自主研究课题(ZDKT08-05)
关键词
折反射全景成像
电子稳像
KALMAN滤波
catadioptric omni-directional imaging
electronic image stabilizing
Kalman filtering
