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A novel interpolation algorithm for 3D reconstruction of medical images

机译:一种用于医学图像3D重建的新型插值算法

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This paper implements a novel interpolation algorithm for three-dimensional reconstruction of medical images. Image Interpolation is often required in three-dimensional reconstruction. This paper analyzes and compares the limits of the traditional interpolation algorithm: grey-based interpolation, shape-based interpolation. To overcome the disadvantages of these traditional algorithms, a novel interpolation algorithm is proposed, which combines the virtues of the both traditional interpolation algorithms. Extensive experiments show that the efficiency of three-dimensional reconstruction can be improved a lot by using the novel algorithm.
机译:本文实现了一种新颖的插值算法,用于医学图像的三维重建。在三维重建中通常需要图像插值。本文分析并比较了传统插值算法的局限性:基于灰色的插值,基于形状的插值。为了克服这些传统算法的缺点,提出了一种新颖的插值算法,该算法结合了两种传统插值算法的优点。大量的实验表明,使用这种新算法可以大大提高三维重建的效率。

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