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IMPROVED IMAGE REGISTRATION TECHNIQUE USING DEMONS AND B-SPLINE

机译:利用恶魔和B样条改进的图像配准技术

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摘要

Non-rigid image registration is an important and challenge work in image processing. The demons algorithm is one of the most effective non-rigid image registration methods. However, it is only suitable for images with small deformation. In recent years, many improving techniques are proposed. The free form deformation method based on B-spline function is widely employed in non-rigid image registration and is good at dealing with large deformation image registration. However, the performance of the demons algorithm is better than that of the B-spline method in dealing with small deformation registration. Therefore, in this paper, we propose to combine the demons algorithm and the B-spline method. The new method consists of two steps: First, it applies the B-spline method to deal with the large deformation. Then, it uses the demons algorithm to treat the small deformation. The testing results show that the new method is effective in dealing images with both small and large deformations. Comparing to the demons algorithm as well as the B-spline method, the new method has the smallest registration error and hence, is the best.
机译:非刚性图像配准是图像处理中的重要且具有挑战性的工作。恶魔算法是最有效的非刚性图像配准方法之一。但是,它仅适用于变形较小的图像。近年来,提出了许多改进技术。基于B样条函数的自由变形方法在非刚性图像配准中被广泛采用,擅长处理大变形图像配准。但是,在处理小变形配准时,恶魔算法的性能优于B样条方法。因此,在本文中,我们建议将恶魔算法与B样条方法相结合。新方法包括两个步骤:首先,它应用B样条方法处理大变形。然后,使用恶魔算法处理小变形。测试结果表明,该新方法对于处理大小变形图像均有效。与恶魔算法和B样条方法相比,新方法具有最小的配准误差,因此是最好的。

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