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A NEW IMAGE REGISTRATION METHOD FOR GREY IMAGES

机译:灰度图像的新图像配准方法

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摘要

The proposed algorithm relies on a group of new formulas for calculating tangent slope so as to address angle feature of edge curves of image. It can utilize tangent angle features to estimate automatically and fully the rotation parameters of geometric transform and enable rough matching of images with huge rotation difference. After angle compensation, it can search for matching point sets by correlation criterion, then calculate parameters of affine transform, enable higher-precision emendation of rotation and transferring. Finally, it fulfills precise matching for images with relax-tense iteration method. Compared with the registration approach based on wavelet direction-angle features, the matching algorithm with tangent feature of image edge is more robust and realizes precise registration of various images. Furthermore, it is also helpful in graphics matching.
机译:该算法依靠一组新的公式来计算切线斜率,以解决图像边缘曲线的角度特征。它可以利用切线角度特征来自动,完全地估计几何变换的旋转参数,并实现具有巨大旋转差的图像的粗略匹配。经过角度补偿后,它可以根据相关标准搜索匹配点集,然后计算仿射变换的参数,实现旋转和传递的高精度校正。最后,它使用松弛时态迭代方法实现图像的精确匹配。与基于小波方向角特征的配准方法相比,具有图像边缘切线特征的匹配算法更加健壮,可以实现各种图像的精确配准。此外,它也有助于图形匹配。

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