摘要
红外小目标易淹没在复杂的起伏背景中，为提高目标的检测能力，往往通过抑制背景来增强目标信号。针对各向同性背景在含有较多边缘轮廓的复杂起伏背景预测方法的不足，提出了各向异性的红外背景预测方法，结合目标与背景在局部梯度间的差异，考虑各向异性微分原理，并改进其边缘停止函数，然后利用其两个最小方向值的均值作为背景预测值，并将背景图灰度变换为0～255，最后采用恒虚警阈值法对差分图像进行分割处理，达到提取候选目标的目的，降低真实目标的虚警率。实验表明，各向异性取得良好的背景预测效果，而利用恒虚警阈值对差分图像进行分割有效地减小了虚警，提高目标检测率。
Abstract
To improve the detection of infrared small target in the complex background,the target signals are generally enhanced by restraining the background.For the shortcomings of the isotropic background prediction method,a kind of anisotropic infrared background prediction method was proposed.According to the difference of local gradient features between the target and the background,the edge stopping function of anisotropic partial differential equation was im-proved.Then the mean of the two least direction values was set as the prediction value of the background,and the background gray level changed 0 ~255.Finally in order to extract the candidate target and reduce the false alarm rate of the target,the difference image was segmented by the method of constant false alarm threshold.Experimental results show that this method has a good background prediction,and it can effectively reduce the false alarm and improve the detection rate of the target.
NETL
NSTL
维普
万方数据