基于小波滤波背景预测的红外弱小目标检测方法

红外弱小目标检测是红外图像研究领域的热点与难点。有效地从背景中检测出弱小目标对于后续的跟踪、识别工作具有十分重要的意义。针对现有检测方法的不足,提出了一种基于小波滤波背景预测的红外弱小目标检测方法。该方法利用小波滤波去噪的优良特性将目标作为噪声滤除,然后构建近似的前景分布图与背景分布图,最后基于连通体筛选与对比度门限完成弱小目标的提取。采用实测光电图像对该方法进行了验证,结果表明,提出的方法能够有效抑制噪声,完成背景预测以及红外弱小目标的检测。

Infrared Dim and Small Target Detection Based on Background Prediction by Wavelet Filter

Dim and small target detection is a critical technology in the infrared image field. The target can be detected effectively from the background,which is important for the work of target tracking and recognition.Aiming at defects of the existing target detection technology,an approach for infrared dim and small target detection based on background prediction by wavelet filter was proposed.The approach utilizes wavelet filter to remove the target as noise,then the background image and the foreground image are estimated,finally infrared dim and small target can be extracted effectively by connecter screening and contrast thresholding.The approach was tested on the real images of photoelectric theodolite.Experiments show effectiveness of the method on anti-noise,background prediction,and infrared dim and small target detection.