摘要
在分析红外场景模型的基础上,针对空中红外图像中弱小运动目标的特征,提出一种用自适应门限滤波对背景进行抑制、利用自适应阈值分割对目标进行分割的帧内处理方法；在帧间采用八邻域判决法对弱小目标进行检测；实践证明,该技术能有效提高图像的信噪比,从而达到有效分割和快速检测小目标的目的。
On the basis of the analysis of an infrared scene model, a frame detection method which uses the adaptive threshold filtering to restrain background and uses the adaptive threshold segmentation to segment targets is proposed against the signatures of the small weak infrared moving targets in air infrared images. The small weak targets are detected by using an eight close area judgement method in the sequence of infrared images. The experimental results have shown that this technique can effectively improve the ratio of signal to noise in images and thus effectively segment and quickly detect small targets.
出处
《红外》
CAS
2006年第8期13-15,19,共4页
Infrared
关键词
自适应门限滤波
目标检测
阈值分割
八邻域判决
adaptive threshold filtering
target detection
segmentation of threshold
eight close area judgement
