一种改进的利用背景检测弱小目标的方法

Improved Method of Small Weak Targets Detection Based On Background

提出一种基于背景检测弱小目标的改进算法.该算法通过双重预测窗,分别用来预测当前像素的背景灰度和真实灰度,不仅能解决传统预测算法的边缘模糊问题,而且适用于双极性目标的检测,运算速度更快,是背景预测算法的一个重要改进.在导弹视频实时跟踪中,检测的可靠性和稳定性要求目标检测算法既要克服边缘模糊问题,又能保证导弹在亮、暗背景下都能正常工作.针对导弹跟踪系统提供的实际图像的试验表明,提出的算法能快速准确地检测出目标.

An improvement method is given to detect small weak targets. It predicts the background gray and the actual gray of the current pixel molded by two predicting windows. The method can not only solve the edge blur problem of the traditional method, but fit for the detection of the bipolar targets. It can perform at a high calculation speed, which is an important improvement in the filed. In the process of real-time missile-tracking. The reliability and stability of detection require that the method cannot only solve the edge blur problem of the traditional method, but work well with the background no matter it is bright or dark. According to the experiment using the images provided by DX-1 missile-tracking project, the method is proved effective.