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Distance-Driven Skeletonization in Voxel Images

机译:体素图像中的距离驱动骨骼

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摘要

A distance-driven method to compute the surface and curve skeletons of 3D objects in voxel images is described. The method is based on the use of the <3,4,5> weighted distance transform, on the detection of anchor points, and on the application of topology preserving removal operations. The obtained surface and curve skeletons are centered within the object, have the same topology as the object, and have unit thickness. The object can be almost completely recovered from the surface skeleton since this includes almost all of the centers of maximal balls of the object. Hence, the surface skeleton is a faithful representation. In turn, though only partial recovery is possible from the curve skeleton, this still provides an appealing representation of the object.
机译:描述了一种用于计算体素图像中3D对象的曲面和曲线骨架的距离驱动方法。该方法基于<3,4,5>加权距离变换的使用,锚点的检测以及拓扑保留删除操作的应用。所获得的曲面和曲线骨架位于对象内的中心,具有与对象相同的拓扑,并且具有单位厚度。物体几乎可以从表面骨架中完全恢复出来,因为它几乎包括了物体最大球的所有中心。因此,表面骨架是忠实的表示。反过来,虽然只能从曲线骨架中部分恢复,但这仍然可以提供对象的吸引人的表示。

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