Crack Modeling via Minimum-Weight Surfaces in 3d Voronoi Diagrams
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Abstract (arXiv)
Shortest paths play an important role in mathematical modeling and image processing. Usually, shortest path problems are formulated on planar graphs that consist of vertices and weighted arcs. In this context, one is interested in finding a path of minimum weight from a start vertex to an end vertex. The concept of minimum-weight surfaces extends shortest paths to 3d. The minimum-weight surface problem is formulated on a cellular complex with weighted facets. A cycle on the arcs of the complex serves as input and one is interested in finding a surface of minimum weight bounded by that cycle. In practice, minimum-weight surfaces can be used to segment 3d images. Vice versa, it is possible to use them as a modeling tool for geometric structures such as cracks. In this work, we present an approach for using minimum-weight surfaces in bounded Voronoi diagrams to generate synthetic 3d images of cracks.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 11 Oct 2022.
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Citing papers per year: 2023: 1; 2024: 2; 2025: 1; 2026: 1.
5 papers.
- 2023Riesz networks: scale invariant neural networks in a single forward passcited by 8
- 2024Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Millingcited by 2
- 2024A statistical method for crack pre-detection in 3D concrete imagescited by 0
- 2025A Novel Distance-Based Metric for Quality Assessment in Image Segmentationcited by 0
- 2026Synthetic Defect Geometries of Cast Metal Objects Modeled via 2d Voronoi Tessellationscited by 0
- 2026Synthetic Defect Geometries of Cast Metal Objects Modeled via 2d Voronoi Tessellations5 Feb 2026
- 2025A Novel Distance-Based Metric for Quality Assessment in Image Segmentation28 Mar 2025
- 2024Stochastic Geometry Models for Texture Synthesis of Machined Metallic Surfaces: Sandblasting and Milling20 Mar 2024
- 2024A statistical method for crack pre-detection in 3D concrete images25 Feb 2024
- 2023Riesz networks: scale invariant neural networks in a single forward pass8 May 2023