摘要
通过分析天空背景下红外运动小目标、噪音以及背景的特征,提出一种检测方法·首先利用向量小波变换对运动图像进行预处理;其次采用图像差分进行目标的粗检测,提取出候选目标;最后可根据运动目标和噪音的特征对候选目标进行识别,检测出真实的运动小目标·实验证明,该方法可有效检测天空背景下红外运动小目标·
According to small moving infrared target detection in the sky background,a detection algorithm is presented through the characteristics of small moving infrared target, noise and background in infrared images are analyzed. Firstly, by utilizing the excellent quality of multi-wavelet, the infrared images is preprocessed with the proper pre-filter. Secondly, the coarse detection is performed based on differentiating tow neighboring frames in image sequence to extract candidate targets. Finally, the candidate targets are recognized by the characteristics of moving target and noise in order to detect real small moving infrared target based on. The effectiveness of the algorithm is proved by the experimental results for several real infrared image sequences.
出处
《光子学报》
EI
CAS
CSCD
北大核心
2006年第6期924-927,共4页
Acta Photonica Sinica
关键词
红外运动小目标
向量小波
图像差分
Small moving infrared target
Multi-wavelet
Differentiating tow neighboring frames
