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BLUR INVARIANT REGISTRATION OF ROTATED, SCALED AND SHIFTED IMAGES

机译:模糊不变注册旋转,缩放和移位图像

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In this paper, we propose a blur invariant image registration method that can be used to register rotated, scaled and shifted images. The method is invariant to centrally symmetric blur including linear motion and out of focus blur. The method correlates log-polar sampled phase-only bispectrum slices, which are modified for blur invariance, to estimate rotation and scale parameters. Translation parameters are estimated using a blur invariant version of phase correlation. An additional advantage of using the phase-only bispectrum is the invariance to uniform illumination changes. We present also results of numerical experiments with comparisons to similar registration methods which do not possess blur invariance properties. The results show that the image registration accuracy of our method is much better when images are blurred.
机译:在本文中,我们提出了一种模糊不变的图像配准方法,可用于注册旋转,缩放和移位图像。该方法是不变的,以居中对称模糊,包括线性运动和焦点模糊。该方法将对数偏振的相位的BISPectrum切片相关联,这些双谱切片被修改以进行模糊不变性,以估计旋转和比例参数。使用模糊不变版本的相位相关估计翻译参数。使用相位BISPectrum的额外优点是均匀照明变化的不变性。我们还提供了数值实验的结果,其与类似登记方法的比较,这些方法不具有不变性属性。结果表明,当图像模糊时,我们方法的图像配准精度要好得多。

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