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A Fast and Efficient Image Registration Algorithm using Outlier Rejection Technique based on Subimage

机译:基于子图像的离群值抑制技术快速高效的图像配准算法

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摘要

Image registration is a process of overlaying two or more images of the same scene taken at different times, from different viewpoints, and by different sensors. It geometrically aligns two images, the reference and sensed image. In this paper, a fast and efficient image registration algorithm is proposed for IDS (Intruder Detection System). To reduce a calculation time, outlier rejection method based on uniformity, entropy and subimage is used. An edge tapering method is applied to alleviate a boundary effect of a subimage. And it is shown that the proposed algorithm improves the accuracy and calculation time effectively.
机译:图像配准是叠加在不同时间,从不同视点和通过不同传感器拍摄的同一场景的两个或多个图像的过程。它在几何上对齐两个图像,即参考图像和感应图像。本文提出了一种快速有效的入侵检测系统图像配准算法。为了减少计算时间,使用了基于均匀性,熵和子图像的离群值剔除方法。应用边缘渐缩方法来减轻子图像的边界效应。结果表明,该算法有效地提高了计算精度和计算时间。

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