摘要
在对红外图像目标特性及背景特性分析的基础上 ,提出了基于小波变换高频子图像处理算法及基于小波变换的区域相关算法 ,着重解决当目标距离成像系统较远时的点目标检测问题 实验结果表明 :将区域相关算法和图像局部区域阈值的自适应滤波检测技术相结合 ,可显著提高红外点目标检测概率 。
Based on the analysis of the property of target and background,an approach of point targets detection using wavelet transform algorithm of high frequency processing and wavelet correlation algorithm is presented. The technology of point target detection in infrared image sequences will be stressed when the target is far from the infrared image sensor. The experiment results have proved that the combination of wavelet correlation algorithm and part adaptive threshold can improve obviously the probability of the point target detection , and implement detection of point target who is far from the infrared image.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2004年第4期464-468,共5页
Acta Photonica Sinica
基金
陕西省自然科学基金 (编号 :2 0 0 2F13)资助项目
关键词
红外图像
目标检测
小波变换算法
Infrared image
Target detection
Wavelet transform algorithm
