Image Segmentation Mesh Generation by Ming (7 results)
- Softcover
Seller: Revaluation Books, Exeter, United KingdomRevaluation Books
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Paperback. Condition: Brand New. 120 pages. 8.66x5.91x0.28 inches. In Stock.
Image Segmentation and Mesh Generation | Based on Feature-Sensitive and Adaptive Image Triangulation
- Softcover
Seller: preigu, Osnabrück, Germanypreigu
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Taschenbuch. Condition: 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 Osnab…rück, mail[at]preigu[dot]de | Anbieter: preigu.
- Softcover
Seller: Mispah books, Redhill, SURRE, United KingdomMispah books
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paperback. Condition: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by LAP LAMBERT Academic Publishing Jun 2017, 2017
- Softcover
- Print on Demand
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 120 pp. Englisch.
- Softcover
- Print on Demand
Seller: moluna, Greven, Germanymoluna
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Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: XU MingDr. 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. H.
Language: English
Published by LAP LAMBERT Academic Publishing Jun 2017, 2017
- Softcover
- Print on Demand
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germanybuchversandmimpf2000
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Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -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-awar…e 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.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 120 pp. Englisch.
Image Segmentation and Mesh Generation : Based on Feature-Sensitive and Adaptive Image Triangulation
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.
