Evaluation of error metric for image registration of multiple images

P. Duraisamy
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Abstract

When one image is to be registered with multiple images of the same scene, one would like to know the accuracy of the registered image. In this paper we define the comparison of different error metrics based on the No-reference method (no true value) and reference method (true value) which evaluates the performances of image registration algorithms for sequences of images. This analysis will be a useful tool for quantifying the image registration algorithm and for tuning the parameters of the registration algorithm.
多幅图像配准误差度量的评价
当一幅图像与同一场景的多幅图像进行配准时,人们想知道配准图像的精度。本文定义了基于无参考方法(无真值)和参考方法(真值)的不同误差度量的比较,以评价图像序列的图像配准算法的性能。这一分析将为图像配准算法的量化和配准算法参数的调整提供有用的工具。
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