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Variational and Level Set Methods in Image Segmentation - gebunden oder broschiert

2010

ISBN: 3642153518

2011 Gebundene Ausgabe Bildbearbeitung, Bildverarbeitung, Grafik (EDV) / Bildverarbeitung, Elektronik, Digitale Signalverarbeitung (DSP), FlowEstimation; ImageModels; OpticalFlow3Dsegme… Mehr…

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Variational and Level Set Methods in Image Segmentation - gebunden oder broschiert

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Variational and Level Set Methods in Image Segmentation - gebunden oder broschiert

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Details zum Buch
Variational And Level Set Methods In Image Segmentation

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.

Detailangaben zum Buch - Variational And Level Set Methods In Image Segmentation


EAN (ISBN-13): 9783642153518
ISBN (ISBN-10): 3642153518
Gebundene Ausgabe
Erscheinungsjahr: 2010
Herausgeber: Springer-Verlag GmbH
190 Seiten
Gewicht: 0,441 kg
Sprache: eng/Englisch

Buch in der Datenbank seit 2007-04-28T04:50:43+02:00 (Vienna)
Detailseite zuletzt geändert am 2023-06-30T18:53:27+02:00 (Vienna)
ISBN/EAN: 9783642153518

ISBN - alternative Schreibweisen:
3-642-15351-8, 978-3-642-15351-8
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: amar, aye
Titel des Buches: level, image, signal, 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: 2010-10-25
Berlin; Heidelberg; DE
Gedruckt / Hergestellt in Niederlande.
Gewicht: 0,508 kg
Sprache: Englisch
139,09 € (DE)
142,99 € (AT)
153,50 CHF (CH)
POD
VIII, 192 p. 42 illus., 19 illus. in color.

BB; Signal, Image and Speech Processing; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Elektronik; Verstehen; Flow Estimation; Image Models; Optical Flow 3D segmentaion; Image Processing and Computer Vision; Signal, Speech and Image Processing; Computer Vision; Digitale Signalverarbeitung (DSP); Maschinelles Sehen, Bildverstehen; BC; EA

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.

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9783642265624 Variational and Level Set Methods in Image Segmentation (Ismail Ben Ayed)


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