复杂背景条件下的红外快速运动小目标检测方法

针对复杂背景下红外快速运动小目标检测问题,提出一种将时域特性分析、小波包变换和管道滤波多帧检测相结合的方法。该方法首先对图像进行时域特性分析确定目标所在帧图像序列,再利用小波包变换对目标所在帧图像进行多尺度分解,提取候选目标,然后通过管道滤波从候选目标中确定小目标的位置,完成对小目标的检测。对实测数据进行仿真实验,结果表明该方法能有效检测红外快速运动小目标。

A Method of Infrared Small Fast Moving Target Detection under Complex Background

A method combined temporal domain characteristics analysis and wavelet packet transform with pipeline filter was propose for infrared small fast moving target detection under complex background.temporal domain characteristics analysis was proposed to confirm the frame serials of image which contain small target,then,the wavelet packets were applied to decompose the image into different scales and pick-up await target,above all,pipeline filter was used to find the small target from await target.The experiments were performed for some real infrared images,and the results prove that the proposed method is effective for infrared small fast moving target detection.