骨架提取的改进3D细化算法

F. She, R. H. Chen, W. Gao, P. Hodgson, L. Kong, H. Hong
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引用次数: 31

摘要

在本研究中,我们致力于开发一种新的3D细化算法,以保持拓扑信息为目的,从各种3D物体中提取一体素宽的骨架。在TEMT获取的计算机生成和真实三维重建图像集上对该算法进行了验证,并与其他现有的三维细化算法进行了比较。结果表明,该算法具有较好的中间轴守恒性和同步拓扑守恒性,与现有技术相比具有许多优点。它们是通用的、严格的、高效的和旋转不变的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improved 3D Thinning Algorithms for Skeleton Extraction
In this study, we focused on developing a novel 3D Thinning algorithm to extract one-voxel wide skeleton from various 3D objects aiming at preserving the topological information. The 3D Thinning algorithm was testified on computer-generated and real 3D reconstructed image sets acquired from TEMT and compared with other existing 3D Thinning algorithms. It is found that the algorithm has conserved medial axes and simultaneously topologies very well, demonstrating many advantages over the existing technologies. They are versatile, rigorous, efficient and rotation invariant.
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