Image registration based on physical forces

A. Sadri, A. Beheshti
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引用次数: 1

Abstract

In this paper, we proposed a new method for image registration which the registration parameters are translation and rotation. This method is based on physical forces. A unique feature of the proposed method is that it assumes images like charged materials that attract each other. We can also assume one of the images like a hole and another one like a material that fill the hole. In both cases one of the images moves in the same direction as the applied force and the other one is still. It moves consequently until the resultant force is equal to zero. This approach does not estimate these parameters separately. They are estimated simultaneously leading to a better optimized set of registration parameters. We compute the order of this algorithm on 2D and 3D Images. We show that the approach is successful and yields to better results than MI and correlation-like methods.
基于物理力的图像配准
本文提出了一种以平移和旋转为配准参数的图像配准方法。这种方法是基于物理力的。该方法的一个独特之处在于,它假设图像像带电物质一样相互吸引。我们也可以假设其中一幅像一个洞,另一幅像一个填满洞的材料。在这两种情况下,其中一个图像与施加力的方向相同,而另一个静止不动。它随之运动,直到合力为零。这种方法不单独估计这些参数。它们被同时估计,从而得到一组更好的优化配准参数。我们计算了该算法在二维和三维图像上的阶数。我们证明该方法是成功的,并且产生比MI和类相关方法更好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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