Abstract

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.

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