Sub-pixel image registration based on physical forces

Ali Ghayoor, Saeed Ghorbani, A. Beheshti
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Abstract

A new method for image registration has been previously proposed by the authors, which the registration is based on physical forces. The registration parameters are translation and rotation. This method assumes images like charged materials that attract each other. In this case, one of the images moves in the same direction as the applied force while the other one is still. The movement of the image continues until the resultant force becomes zero. This approach estimates the registration parameters simultaneously and leading to a better optimized set of registration parameters. The registration error for this method is 1 to 3 pixels. In this paper we aim to develop this method for the applications which need sub-pixel accuracy. First, by applying the Canny edge detector on the input images, the edge information is also used for the registration process to increase the robustness of this method in the presence of noise. After that, sub-pixel accuracy is provided for this method by using interpolation techniques.
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基于物理力的亚像素图像配准
作者提出了一种基于物理力的图像配准方法。配准参数为平移和旋转。这种方法假设图像像带电材料一样相互吸引。在这种情况下,其中一个图像移动的方向与施加的力相同,而另一个是静止的。图像的运动一直持续到合力变为零。该方法可以同时估计配准参数,从而得到一组更好的优化配准参数。该方法的配准误差为1 ~ 3个像素。本文的目标是将该方法应用于需要亚像素精度的应用。首先,通过在输入图像上应用Canny边缘检测器,边缘信息也被用于配准过程,以增加该方法在存在噪声时的鲁棒性。然后利用插值技术实现亚像素精度。
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