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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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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Paperback. Zustand: Brand New. 120 pages. 8.66x5.91x0.28 inches. In Stock. Artikel-Nr. 3330325976
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Taschenbuch. Zustand: Neu. Image Segmentation and Mesh Generation | Based on Feature-Sensitive and Adaptive Image Triangulation | Ming Xu | Taschenbuch | 120 S. | Englisch | 2017 | LAP LAMBERT Academic Publishing | EAN 9783330325975 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. Artikel-Nr. 109401124
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