摘要
提出了一种基于小波变换和邻域搜索的弱小目标检测方法,该方法先利用弱小目标的灰度特征,采用小波变换算法对单帧图像进行预处理,检测出可疑目标集合,然后利用弱小目标的运动特征,采用邻域搜索的方法对多帧序列图像进行后处理,检测出真实目标.
A scheme based on the wavelet transform and neighborhood search is presented to detect a dim small target.In this method,according to the intensity features of the dim small target,wavelet transform is adopted to detect the suspicious targets by pre-processing the initial images,and then neighborhood search is used to detect the true target in terms of the motion features of the dim small target.
出处
《平顶山学院学报》
2011年第5期79-83,共5页
Journal of Pingdingshan University
关键词
小波变换
小波基
弱小目标检测
邻域搜索
wavelet transform
base wavelet
dim small target detection
neighborhood search
