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Skeletal-based microstructure representation and convolution reconstruction
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DOI：10.1016/j.commatsci.2021.110409.png)
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Abstract
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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.
Keywords:
Microstructure representation
Skeletonization
Convolution surfaces
Microstructure informatics
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