提出了一种基于中值滤波与梯度法的红外小目标检测方法.该方法首先通过中值滤波对红外图像进行平滑处理, 接着采用背景差分技术将原始图像与经过中值滤波后的图像进行差分对消.在此基础上, 再使用梯度锐化法对残差图像进行边缘信息的增强.最后, 利用二值化处理凸显出目标点.该方法通过中值滤波与梯度法的互补效应实现了红外小目标的有效检测, 仿真实验结果证明了该算法的有效性.

A method based on the median filter and gradient technique to detect the small target in infrared image is presented. It firstly uses median filtering to smooth the infrared image, followed by making use of the background subtraction technique to process the original image and the median filtering image. Based upon that, a gradient sharpening method is applied to strengthen the marginal information of the residual image. Finally, a binary technique is utilized to highlight the target. With the complementary effects of the median filter and gradient technique, the infrared dim target can be detected effectively. The results of the simulation have shown the effectivity of the presenting method.