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A robust cepstrum-based algorithm for image registration using projections

机译:一种基于倒谱的鲁棒算法,用于使用投影进行图像配准

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摘要

The 2D phase correlation and the 2D cepstrum technique are known as two solutions to the translation-based image registration problem. However, both methods have a large computational load. Satisfactory results were obtained in a smaller translation range by applying phase correlations to the 1D projections of images to reduce the computational load (Alliney, S. and Morandi, C., 1986). The paper presents a new algorithm based on applying the cepstrum technique to image projections in a similar way. An enhanced cepstrum technique is developed by subtracting the cepstrum of the projection differences from the cepstrum of the projection additions. A superior performance compared to that of the 1D phase correlation can be obtained by whitening the power spectrum by the square-root instead of the logarithm and using a high-pass filter afterwards. The algorithm yields larger translation ranges in registering noisy images and remarkably outperforms the phase correlation method in the case of different degrees of blurring between images.
机译:2D相位相关性和2D倒频谱技术是解决基于平移的图像配准问题的两种解决方案。但是,这两种方法都有很大的计算量。通过将相位相关应用于图像的一维投影以减少计算负荷,可以在较小的转换范围内获得满意的结果(Alliney,S.和Morandi,C.,1986)。本文提出了一种基于倒频谱技术以类似方式将倒频谱技术应用于图像投影的新算法。通过从投影相加的倒频谱中减去投影差的倒频谱来开发增强的倒频谱技术。通过用平方根而不是对数来对功率谱进行白化,然后使用高通滤波器,可以获得与一维相位相关性相比更高的性能。该算法在配准有噪图像时产生较大的转换范围,并且在图像之间的模糊程度不同的情况下,其性能明显优于相位相关方法。

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