Image Segmentation and Mesh Generation
Based on Feature-Sensitive and Adaptive Image Triangulation
(Sprache: Englisch)
In this book, we investigate a super-pixel based scheme that integrates both image segmentation and mesh generation into a single method, making mesh generation truly an image-incorporated approach. Our method, called image content-aware mesh generation,...
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In this book, we investigate a super-pixel based scheme that integrates both image segmentation and mesh generation into a single method, making mesh generation truly an image-incorporated approach. Our method, called image content-aware mesh generation, consists of several main steps. First, we generate a set of feature-sensitive and adaptively distributed points from 2D grayscale images or 3D volumes. Second, a Delaunay-triangulation generator (2D) or tetrahedral mesh generator (3D) is then utilized to generate a 2D triangulation or 3D tetrahedral mesh. A graph-cut method is then applied to the graph to define the boundary between two subsets of the graph, resulting in good boundary segmentations with high-quality meshes.
Bibliographische Angaben
- Autor: Ming XU
- 2017, 120 Seiten, Maße: 22 cm, Kartoniert (TB), Englisch
- Herausgegeben von Lin, Yu
- Verlag: LAP Lambert Academic Publishing
- ISBN-10: 3330325976
- ISBN-13: 9783330325975
Sprache:
Englisch
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