车载快速移动军用车辆成像系统的图像配准

Jinchun Wang, J. Chun
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引用次数: 3

摘要

提出了一种基于区域相关法的图像配准算法。图像配准是红外搜索与跟踪技术中运动目标检测与跟踪的重要组成部分。在图像配准方法中,首先利用区域相关获得帧间的位移,然后通过补偿位移将搜索图像校正为参考图像。运动目标的检测是通过帧差法实现的。用实际图像数据对该算法进行了测试,结果表明,该算法能够补偿两幅图像的位移,即两幅配准图像相减得到的检测点较少。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Image registration for an imaging system on-board fast moving military vehicle
We present an image registration algorithm based on the area-correlation method. Image registration is indispensable for moving target detection and tracking with the infra-red search and tracker (IRST). In our approach to image registration, displacements between frames are obtained using the area correlation, and then, the search image is rectified to the reference image by compensating displacements. Detection of a moving target is achieved by the frame difference method. The proposed algorithm has been tested with real image data, and we observe that the proposed algorithm is able to compensate the displacement of two images in that we get only a few detection points when we subtract two registered images.
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