In recent years, topology based techniques have begun to emerge as a general framework in visualization with the increase of scientific data in size and complexity. Topology could be used to capture significant features of the data at an abstract level, enabling and facilitating data understanding in visualization. This book focuses on investigating effective uses of the contour tree, one of topological abstractions of the scalar field, in improving efficiency of volumetric data analysis. It achieves the goals by increasing the presentation of topology information in order to explore various relationships of geometrical structures. In particular, the book plays emphasis on a novel approach for automating transfer function generations in volume visualization using topology-controlled residue flow model and harmonic colors. The generated transfer functions reveal structural relationships automatically. To make this work practical, this book also deals with topology simplification. The analysis should help shed some light on the research of topology-controlled visualization. It should be especially useful to professionals in volumetric visualization and medical image analysis.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
In recent years, topology based techniques have begun to emerge as a general framework in visualization with the increase of scientific data in size and complexity. Topology could be used to capture significant features of the data at an abstract level, enabling and facilitating data understanding in visualization. This book focuses on investigating effective uses of the contour tree, one of topological abstractions of the scalar field, in improving efficiency of volumetric data analysis. It achieves the goals by increasing the presentation of topology information in order to explore various relationships of geometrical structures. In particular, the book plays emphasis on a novel approach for automating transfer function generations in volume visualization using topology-controlled residue flow model and harmonic colors. The generated transfer functions reveal structural relationships automatically. To make this work practical, this book also deals with topology simplification. The analysis should help shed some light on the research of topology-controlled visualization. It should be especially useful to professionals in volumetric visualization and medical image analysis.
Jianlong Zhou received a Ph.D. degree in information technologies from the University of Sydney, Australia. He is an associate at Janelia Farm Research Campus, Howard Hughes Medical Institute, USA. His research interests focus on visualization, spatial augmented reality, image analysis and bioimage informatics.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In recent years, topology based techniques have begun to emerge as a general framework in visualization with the increase of scientific data in size and complexity. Topology could be used to capture significant features of the data at an abstract level, enabling and facilitating data understanding in visualization. This book focuses on investigating effective uses of the contour tree, one of topological abstractions of the scalar field, in improving efficiency of volumetric data analysis. It achieves the goals by increasing the presentation of topology information in order to explore various relationships of geometrical structures. In particular, the book plays emphasis on a novel approach for automating transfer function generations in volume visualization using topology-controlled residue flow model and harmonic colors. The generated transfer functions reveal structural relationships automatically. To make this work practical, this book also deals with topology simplification. The analysis should help shed some light on the research of topology-controlled visualization. It should be especially useful to professionals in volumetric visualization and medical image analysis. 184 pp. Englisch. N° de réf. du vendeur 9783659134845
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Vendeur : moluna, Greven, Allemagne
Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Zhou JianlongJianlong Zhou received a Ph.D. degree in information technologies from the University of Sydney, Australia. He is an associate at Janelia Farm Research Campus, Howard Hughes Medical Institute, USA. His research interests. N° de réf. du vendeur 5133951
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Vendeur : preigu, Osnabrück, Allemagne
Taschenbuch. Etat : Neu. Gaining Insights Into Volumetric Data Visualization | A Semi-Automatic Transfer Function Generation Approach Using Contour Tree Analyses | Jianlong Zhou | Taschenbuch | 184 S. | Englisch | 2012 | LAP LAMBERT Academic Publishing | EAN 9783659134845 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu. N° de réf. du vendeur 106437148
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Vendeur : buchversandmimpf2000, Emtmannsberg, BAYE, Allemagne
Taschenbuch. Etat : Neu. This item is printed on demand - Print on Demand Titel. Neuware -In recent years, topology based techniques have begun to emerge as a general framework in visualization with the increase of scientific data in size and complexity. Topology could be used to capture significant features of the data at an abstract level, enabling and facilitating data understanding in visualization. This book focuses on investigating effective uses of the contour tree, one of topological abstractions of the scalar field, in improving efficiency of volumetric data analysis. It achieves the goals by increasing the presentation of topology information in order to explore various relationships of geometrical structures. In particular, the book plays emphasis on a novel approach for automating transfer function generations in volume visualization using topology-controlled residue flow model and harmonic colors. The generated transfer functions reveal structural relationships automatically. To make this work practical, this book also deals with topology simplification. The analysis should help shed some light on the research of topology-controlled visualization. It should be especially useful to professionals in volumetric visualization and medical image analysis.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 184 pp. Englisch. N° de réf. du vendeur 9783659134845
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Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In recent years, topology based techniques have begun to emerge as a general framework in visualization with the increase of scientific data in size and complexity. Topology could be used to capture significant features of the data at an abstract level, enabling and facilitating data understanding in visualization. This book focuses on investigating effective uses of the contour tree, one of topological abstractions of the scalar field, in improving efficiency of volumetric data analysis. It achieves the goals by increasing the presentation of topology information in order to explore various relationships of geometrical structures. In particular, the book plays emphasis on a novel approach for automating transfer function generations in volume visualization using topology-controlled residue flow model and harmonic colors. The generated transfer functions reveal structural relationships automatically. To make this work practical, this book also deals with topology simplification. The analysis should help shed some light on the research of topology-controlled visualization. It should be especially useful to professionals in volumetric visualization and medical image analysis. N° de réf. du vendeur 9783659134845
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