Ming Xu
Image Segmentation and Mesh Generation
Based on Feature-Sensitive and Adaptive Image Triangulation
Buch
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 subse…
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Beschreibung
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.
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Produktdetails
Weitere Autoren: Lin, Yu (Hrsg.)
- ISBN: 978-3-330-32597-5
- EAN: 9783330325975
- Produktnummer: 37529584
- Verlag: LAP Lambert Academic Publishing
- Sprache: Englisch
- Erscheinungsjahr: 2017
- Seitenangabe: 120 S.
- Masse: H22.0 cm x B15.0 cm x D0.7 cm 197 g
- Abbildungen: Paperback
- Gewicht: 197
Über den Autor
Dr. Ming Xu graduated from Fudan University and the University of Shanghai for Science and Technology. He received the Ph.D. degree in computer science from the University of Wisconsin-Milwaukee, Wisconsin, in December 2016. His research interests include image processing and segmentation.
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