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A Fast Automatic and Robust Image Registration Algorithm

机译:快速的自动鲁棒图像配准算法

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In this paper, a fast automatic and robust image registration algorithm is presented. First, we use the Fourier transform to calculate the relative position between the input images and sort the unordered image sequence. For two images with overlap region, we detect the feature points in the part of the region in one of the image with the robust method of SIFT. According to the coordinates of the feature points and the position relationship of two images, we can compute the space of the feature points in another image and detect the feature points in this region. Then, we use the geometric relation to reduce some mismatch points with structurally similar and achieve the robust image registration. We demonstrate illustrative results obtained by comparing and contrasting our output with other methods. This method can detect the effective feature points quickly for reducing the detection range of the feature points without human intervention and reduce the running time greatly in ensuring the feature points matching accuracy.
机译:本文提出了一种快速的自动鲁棒图像配准算法。首先,我们使用傅立叶变换来计算输入图像之间的相对位置,并对无序图像序列进行排序。对于具有重叠区域的两幅图像,我们使用鲁棒的SIFT方法在其中一张图像中检测区域中该区域的特征点。根据特征点的坐标和两幅图像的位置关系,我们可以计算出另一幅图像中特征点的空间,并检测出该区域中的特征点。然后,我们使用几何关系来减少结构相似的一些失配点,并实现鲁棒的图像配准。我们展示了通过将我们的输出与其他方法进行比较和对比而获得的说明性结果。该方法可以快速有效地检测出特征点,减少了特征点的检测范围,而无需人工干预,大大减少了运行时间,保证了特征点的匹配精度。

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