运动平台下基于MAX金字塔和仿射运动的红外图像目标检测方法

MAX-Pyramid and Affine Motion Modal Based Targets Detection for IR Image Sequence Taken from Moving Platform

针对运动平台下红外图像目标的检测 ,提出一个基于 MAX金字塔和仿射运动模型的检测方法。表达图像信息的数据结构是成功地进行图像处理的关键 ,根据红外图像的特点 ,适应实时处理的要求 ,构造了一个新的图像金字塔结构—— MAX金字塔。该金字塔的特点是速度快、易于用逻辑电路实现。用仿射运动模型描述平台的运动 ,通过基于 MAX金字塔的仿射运动估计和对准 ,清除图像中平台的自运动信息。在残留图像中获得当前目标并补偿了平台运动后前一帧图像中目标的位置 ,从而检测出当前目标的位置和运动距离。

This paper proposes a new targets detection method based on MAX\|Pyramid and affine motion modal for IR image sequence taken from moving platform. Firstly, we give a new pyramid structure to represent IR images\|Max pyramid. The new structure, comparing with other pyramid structure existed such as Gaussian pyramid, is less computationally expensive and more suitable to represent infrared images. Then we use affine motion modal to describe the motion of platform, and the motion information of platform is removed after an affine image registration. Position and motion information of targets is detected in residual image. The result is also given in this paper.