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Shape Analysis of Volume Models by Euclidean Distance Transform and Moment Invariants

机译:欧几里德距离变换的体积模型形状分析及力矩不变

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In this paper, volume models are obtained from closed surface models by an accurate voxelization method which can handle the hidden cavities. This kind of 3D binary images is then converted to gray-level images by a fast Euclidean distance transform (EDT). Moment invariants (MIs) which are invariant shape descriptors under similarity transformations, are then computed based on the gray images. Applications in shape analysis area such as principal axis determination, skeleton and medial axis extraction, and shape retrieval can be carried out base on EDT and MIs.
机译:在本文中,通过精确的体蛋白化方法从封闭的表面模型获得体积型,该方法可以处理隐藏的空腔。然后通过快速欧几里德距离变换(EDT)将这种3D二进制图像转换为灰度图像。然后基于灰度图像计算在相似性变换下的不变形状描述符的时刻不变性(MIS)。在形状分析区域中的应用,如主轴测定,骨架和内侧轴提取,以及形状检索可以在EDT和MIS上进行基础。

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