Skeletal-based microstructure representation and convolution reconstruction
Skeletal-based microstructure representation and convolution reconstruction
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DOI：
10.1016/j.commatsci.2021.110409
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发表时间：
2021-03-18
影响因子：
3.3
通讯作者：
Wodo, Olga
中科院分区：
文献类型：
--
作者：
Jivani, Devyani;Rai, Rahul;Wodo, Olga
本文介绍了基于分形的微结构表示方法。骨架表示允许紧凑的存储，同时捕捉微观结构的主要特征;以及几何形状和拓扑结构的分离。骨架表示由两个元素组成：基于连续性的骨架，表示拓扑结构，以及表示骨架中图元形状的内核。我们补充的表示与三个操作：卷积，原始标识，卷积的骨架与内核。为了证明表示的鲁棒性，我们进行了定量研究，以显示减少所需的参数的数量来表示几种类型的微结构相对于基于体素的表示。我们报告了一个低误差的重建所提出的表示方法。
This paper introduces the skeletal-based microstructure representation. The skeletal representation allows for compact storage while capturing the main characteristics of the microstructure; and the separation of geometry and topology. The skeletal representation consists of two elements: primitive-based skeleton, representing topology, and a kernel representing the shape of the primitives in the skeleton. We supplement the representation with three operations: skeletonization, primitive identification, and convolution of the skeleton with a kernel. To demonstrate the robustness of the representation, we perform a quantitative study to show the decrease in the number of parameters needed to represent the several types of microstructure with respect to the voxel-based representation. We report a low error of reconstruction of the proposed representation method.