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摘要: 本文介绍了一种改进的光流法来对图像进行配准. 其新颖之处在于, 引入了一种初始运动估计器 (扩展相位相关法) 来改善光流法的性能. 光流法配准可达到亚像素级精度, 并能计算某些复杂的运动模式, 如 chirping 和 tilting, 但它处理大尺度位移的能力较弱. 相对而言, 因为扩展相位相关法可在像素级精度上对大尺度的旋转和平移进行估计, 且计算效率较高, 所以, 它可以作为光流法一种较好的运动预估器. 实验表明, 这种改进的光流法可显著提高配准精度, 特别是对存在大尺度位移的图像, 并且对随机噪声不敏感.Abstract: In this paper, an improved optical flow method for image registration is proposed. It is novel in the way that it improves the optical flow method with an initial motion estimator: extended phase correlation technique (EPCT), using merits of the latter to compensate deficiencies of the former. In a more detailed manner, it can be said that the optical flow method can reach the sub-pixel accuracy and calculate complex distortion patterns like chirping and tilting but is weak with large-scale movements. Because EPCT covers measurements of large translations and rotations with pixel level accuracy and is efficient in the calculating load, it can be treated as a good initial motion estimator for optical flow method. Tests have proved that this improved method will significantly enhance the registration performance, especially, for images with large-scale movements and robust against random noises.
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