一种有效的红外弱小目标DBT算法研究

作为红外自寻的制导、搜索跟踪和预警等领域的一项关键技术,红外弱小目标检测与跟踪成了红外图像处理领域中的一项重要研究课题。本文采用了"先检测后跟踪(DBT)"的思想对红外小目标进行检测与跟踪,首先采用基于各向异性偏微分方程的背景抑制技术对单帧图像进行抑制,再用最大绝对对比度阈值对红外图像进行分割,最后采用形心跟踪法对小目标点坐标定位。试验证明本文算法应用于目标检测的可行性和有效性。

An Effective Detect-Before-Track Algorithm for Infrared Small Target

As key techniques in infrared (IR) homing guidance, target search and tracking, warming and so on ,IR small target detection and tracking have been regarded as an important research topics in the filed of IR image processing. In this paper, An effective detect-before-track Algorithm is used to detect and track the infrared small target. First, the anisotropic diffusion method is adopted to suppress the every single frame image, then, using the threshold algorithm to depart the image, At last, the coordinate of small target is calculated using the gravity center algorithm. The experiments show that the system has the features with good available performance and high efficiency.