低信噪比下图像快速配准的两级相关方法

Zhiyong Gao, Zhenkang Shen, Yiping Jing
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引用次数: 0

摘要

提出了一种能在低信噪比条件下实现两幅数字图像快速配准的两级相关方法,并给出了一种粗略搜索配准位置序列测量测试算法(SMTA)的新算法。Monte-Carlo仿真表明,该方法比最优MSD算法快两个数量级以上,远快于顺序SSDA算法,其性能几乎与最优MSD算法一样好。在信噪比较低、子图像数据长度较短,无法使用SSDA进行匹配的情况下,该算法也能很好地发挥作用。快速相关方法基本上满足了某些导航、跟踪和制导系统实时匹配的要求。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Two-stage correlation method in low SNR for fast image registration
A two-stage correlation method which can realize fast registration of two digital images in the case of low SNR (signal-to-noise ratio) is proposed, and a new algorithm for roughly searching for a registration position-sequential measure test algorithm (SMTA) is given. Monte-Carlo simulation has shown that the method is over two orders of magnitude faster than the optimal MSD algorithm and far faster than the sequential SSDA, and that its performance is almost as good as the optimal MSD. It can perform well under the condition that the SNR is so low and the length of subimage data is so short that SSDA cannot be used to match at all. The fast correlation method virtually satisfies the demands of some navigation, tracking, and guidance systems for real-time matching.<>
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