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Variational and Level Set Methods in Image Segmentation by Ismail Ben Ayed, Amar Mitiche (Hardcover, 2010)

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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.

Product Identifiers

Publisher
Springer-Verlag Berlin and Heidelberg Gmbh & Co. Kg
ISBN-13
9783642153518
eBay Product ID (ePID)
106615384

Product Key Features

Author
Ismail Ben Ayed, Amar Mitiche
Publication Name
Variational and Level Set Methods in Image Segmentation
Format
Hardcover
Language
English
Subject
Engineering & Technology, Computer Science
Publication Year
2010
Type
Textbook
Number of Pages
192 Pages

Dimensions

Item Height
235mm
Item Width
155mm
Volume
5
Item Weight
508g

Additional Product Features

Title_Author
Amar Mitiche, Ismail Ben Ayed
Series Title
Springer Topics in Signal Processing
Country/Region of Manufacture
Germany

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Variational and Level Set Methods in Image Segmentation by Ismail Ben Ayed, Amar Mitiche (Hardcover, 2010)

About this product

Product Information

Product Identifiers

Product Key Features

Dimensions

Additional Product Features

Best Selling in Adult Learning & University

The Weed Forager's Handbook: A Guide to Edible and Medicinal Weeds in Australia by Adam Grubb, Annie Raser-Rowland (2012, Paperback)

Australian Native Bee Book: Keeping Stingless Bee Hives for Pets, Pollination and Sugarbag Honey by Tim Heard (Paperback, 2015)

The Falsification of History: Our Distorted Reality by John Hamer (Paperback, 2013)

Permaculture: A Designer's Manual by Bill Mollison (Hardcover, 1988)

In-Basket Case Studies by Guy Adamson (Paperback, 1986)

Empire of the Summer Moon: Quanah Parker and the Rise and Fall of the Comanches, the Most Powerful Indian Tribe in American History by S.C. Gwynne (Paperback, 2011)

Botanical Field Guide by Stefan Mager (Fold-out book or chart, 2021)

Save on Adult Learning & University

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Havard's Nursing Guide to Drugs

Steven Holzner Physics Essentials For Dummies (Paperback)

T. Jared Bunch Matthew LaPlante John D. Day The AFib Cure (Paperback)

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