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Multiresolution Image Shape Description (22 results)
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Hardcover. Condition: Good. Satisfaction 100% guaranteed.
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Multiresolution Image Shape Description
Language: English
Published by Springer-Verlag New York Inc., 1992
ISBN 10: 0387976825 ISBN 13: 9780387976822
Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Edition 1992. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Edition 1992. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Multiresolution Image Shape Description
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1992
ISBN 10: 3540976825 ISBN 13: 9783540976820
Hardcover. Condition: Très bon. Ancien livre de bibliothèque. Légères traces d'usure sur la couverture. Traces d'humidité sur les premières et dernières pages. Edition 1992. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Very good. Former library book. Slight signs of wear on the cover. Traces of humidity on the first and last pages. Edition 1992. Ammareal gives back up to 15% of this item's net price to charity organizations.
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Multiresolution Image Shape Description (Springer Series in Perception Engineering)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
Seller rating 5 out of 5 stars
US$ 67.76
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Ships from United Kingdom to U.S.A.Quantity: Over 20 available
Add to basketCondition: New. In.
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Condition: New. pp. 144.
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
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Multiresolution Image Shape Description (Springer Series in Perception Engineering)
Language: English
Published by 1992 Springer-Verlag New York Inc., 2012
ISBN 10: 1461276896 ISBN 13: 9781461276890
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Add to basketPaperback. Condition: Brand New. reprint edition. 141 pages. 9.25x6.10x0.40 inches. In Stock.
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Condition: New. pp. 131 1st Edition.
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Condition: New. pp. 131.
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Condition: New.
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Condition: New. pp. 131.
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - Much of our understanding of the relationships among geometric struc tures in images is based on the shape of these structures and their relative orientations, positions and sizes. Thus, developing quantitative methods for capturing shape information from digital images is an important area for computer vision research. This book describes the theory, implemen tation, and application of two multi resolution image shape description methods. The author begins by motivating the need for quantitative methods for describing both the spatial and intensity variations of struc tures in grey-scale images. Two new methods which capture this informa tion are then developed. The first, the intensity axis of symmetry, is a collection of branching and bending surfaces which correspond to the skeleton of the image. The second method, multiresolution vertex curves, focuses on surface curvature properties as the image is blurred by a sequence of Gaussian filters. Implementation techniques for these image shape descriptions are described in detail. Surface functionals are mini mized subject to symmetry constraints to obtain the intensity axis of symmetry. Robust numerical methods are developed for calculating and following vertex curves through scale space. Finally, the author demon strates how grey-scale images can be segmented into geometrically coher ent regions using these shape description techniques. Building quantita tive analysis applications in terms of these visually sensible image regions promises to be an exciting area of biomedical computer vision research. v Acknowledgments This book is a corrected and revised version of the author's Ph. D.
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Multiresolution Image Shape Description (Springer Series in Perception Engineering)
Seller: Roland Antiquariat UG haftungsbeschränkt, Weinheim, Germany
Seller rating 5 out of 5 stars
Hardcover. 141 p. Unread book. Very good condition. Minimum traces of storage. 9783540976820 Sprache: Englisch Gewicht in Gramm: 431.
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Multiresolution Image Shape Description (Springer Series in Perception Engineering)
Language: English
Published by Springer-Verlag Berlin and Heidelberg GmbH & Co. K, 1992
ISBN 10: 3540976825 ISBN 13: 9783540976820
Hardcover. Condition: New. SHRINK-WRAPPED: US SELLER BSHIPS FROM USA.
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Condition: new. Questo è un articolo print on demand.
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Multiresolution Image Shape Description
Language: English
Published by Springer New York, Humana Sep 2011, 2011
ISBN 10: 1461276896 ISBN 13: 9781461276890
Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Much of our understanding of the relationships among geometric struc tures in images is based on the shape of these structures and their relative orientations, positions and sizes. Thus, developing quantitative methods for capturing shape information from digital images is an important area for computer vision research. This book describes the theory, implemen tation, and application of two multi resolution image shape description methods. The author begins by motivating the need for quantitative methods for describing both the spatial and intensity variations of struc tures in grey-scale images. Two new methods which capture this informa tion are then developed. The first, the intensity axis of symmetry, is a collection of branching and bending surfaces which correspond to the skeleton of the image. The second method, multiresolution vertex curves, focuses on surface curvature properties as the image is blurred by a sequence of Gaussian filters. Implementation techniques for these image shape descriptions are described in detail. Surface functionals are mini mized subject to symmetry constraints to obtain the intensity axis of symmetry. Robust numerical methods are developed for calculating and following vertex curves through scale space. Finally, the author demon strates how grey-scale images can be segmented into geometrically coher ent regions using these shape description techniques. Building quantita tive analysis applications in terms of these visually sensible image regions promises to be an exciting area of biomedical computer vision research. v Acknowledgments This book is a corrected and revised version of the author's Ph. D. 144 pp. Englisch.
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Condition: New. Print on Demand pp. 144 45 Figures, 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
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Condition: New. PRINT ON DEMAND pp. 144.
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Multiresolution Image Shape Description
Language: English
Published by Springer, Springer Sep 2011, 2011
ISBN 10: 1461276896 ISBN 13: 9781461276890
Seller: buchversandmimpf2000, Emtmannsberg, BAYE, Germany
Seller rating 5 out of 5 stars
Taschenbuch. Condition: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Much of our understanding of the relationships among geometric struc tures in images is based on the shape of these structures and their relative orientations, positions and sizes. Thus, developing quantitative methods for capturing shape information from digital images is an important area for computer vision research. This book describes the theory, implemen tation, and application of two multi resolution image shape description methods. The author begins by motivating the need for quantitative methods for describing both the spatial and intensity variations of struc tures in grey-scale images. Two new methods which capture this informa tion are then developed. The first, the intensity axis of symmetry, is a collection of branching and bending surfaces which correspond to the skeleton of the image. The second method, multiresolution vertex curves, focuses on surface curvature properties as the image is blurred by a sequence of Gaussian filters. Implementation techniques for these image shape descriptions are described in detail. Surface functionals are mini mized subject to symmetry constraints to obtain the intensity axis of symmetry. Robust numerical methods are developed for calculating and following vertex curves through scale space. Finally, the author demon strates how grey-scale images can be segmented into geometrically coher ent regions using these shape description techniques. Building quantita tive analysis applications in terms of these visually sensible image regions promises to be an exciting area of biomedical computer vision research. v Acknowledgments This book is a corrected and revised version of the author's Ph. D.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 144 pp. Englisch.
