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Ben Ayed, Ismail:
Variational and Level Set Methods in Image Segmentation Ismail Ben Ayed (u. a.) Taschenbuch Springer Topics in Signal Processing Paperback Englisch 2012 - Taschenbuch2012, ISBN: 9783642265624
[ED: Taschenbuch], [PU: Springer Berlin], Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between t… Mehr…
2005
ISBN: 9783642265624
[ED: Taschenbuch], [PU: Springer Berlin Heidelberg], Neuware - Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image w… Mehr…
2011, ISBN: 3642265626
Variational and Level Set Methods in Image Segmentation ab 39.01 € als Taschenbuch: Auflage 2011. Aus dem Bereich: Bücher, Taschenbücher, Naturwissenschaft, Springer Berlin Heidelberg
2012, ISBN: 9783642265624
Buch, Softcover, 2011, [PU: Springer Berlin], Springer Berlin, 2012
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Detailangaben zum Buch - Variational and Level Set Methods in Image Segmentation
EAN (ISBN-13): 9783642265624
ISBN (ISBN-10): 3642265626
Taschenbuch
Erscheinungsjahr: 2012
Herausgeber: Springer Berlin
Buch in der Datenbank seit 2014-10-10T08:28:49+02:00 (Vienna)
Detailseite zuletzt geändert am 2022-06-14T10:33:45+02:00 (Vienna)
ISBN/EAN: 9783642265624
ISBN - alternative Schreibweisen:
3-642-26562-6, 978-3-642-26562-4
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: aye, amar
Titel des Buches: level, seg, segment, signal, image, variational methods
Daten vom Verlag:
Autor/in: Amar Mitiche; Ismail Ben Ayed
Titel: Springer Topics in Signal Processing; Variational and Level Set Methods in Image Segmentation
Verlag: Springer; Springer Berlin
192 Seiten
Erscheinungsjahr: 2012-12-05
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
139,09 € (DE)
142,99 € (AT)
153,50 CHF (CH)
POD
VIII, 192 p. 42 illus., 19 illus. in color.
BC; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; Flow Estimation; Image Models; Optical Flow 3D segmentaion; Signal, Speech and Image Processing; Computer Vision; Digitale Signalverarbeitung (DSP); Maschinelles Sehen, Bildverstehen; BB
Image segmentation consists of dividing an image domain into disjoint regions according to a characterization of the image within or in-between the regions. Therefore, segmenting an image is to divide its domain into relevant components. The efficient solution of the key problems in image segmentation promises to enable a rich array of useful applications. The current major application areas include robotics, medical image analysis, remote sensing, scene understanding, and image database retrieval. The subject of this book is image segmentation by variational methods with a focus on formulations which use closed regular plane curves to define the segmentation regions and on a level set implementation of the corresponding active curve evolution algorithms. Each method is developed from an objective functional which embeds constraints on both the image domain partition of the segmentation and the image data within or in-between the partition regions. The necessary conditions to optimize the objective functional are then derived and solved numerically. The book covers, within the active curve and level set formalism, the basic two-region segmentation methods, multiregion extensions, region merging, image modeling, and motion based segmentation. To treat various important classes of images, modeling investigates several parametric distributions such as the Gaussian, Gamma, Weibull, and Wishart. It also investigates non-parametric models. In motion segmentation, both optical flow and the movement of real three-dimensional objects are studied.Useful applications in remote sensing, medicine Useful applications in robotics, database search Useful applications in security Includes supplementary material: sn.pub/extras
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