Springer Topics in Signal Processing

Variational and Level Set Methods in Image Segmentation

Authors: Mitiche, Amar, Ben Ayed, Ismail

  • Useful applications in remote sensing
  • Useful applications in medicine
  • Useful applications in robotics
  • Useful applications in database search
  • Useful applications in security
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About this book

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.

Table of contents (9 chapters)

Buy this book

eBook $109.00
price for USA (gross)
  • ISBN 978-3-642-15352-5
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $149.00
price for USA
  • ISBN 978-3-642-15351-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $149.00
price for USA
  • ISBN 978-3-642-26562-4
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

Bibliographic Information
Book Title
Variational and Level Set Methods in Image Segmentation
Authors
Series Title
Springer Topics in Signal Processing
Series Volume
5
Copyright
2011
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-15352-5
DOI
10.1007/978-3-642-15352-5
Hardcover ISBN
978-3-642-15351-8
Softcover ISBN
978-3-642-26562-4
Series ISSN
1866-2609
Edition Number
1
Number of Pages
VIII, 192
Number of Illustrations and Tables
23 b/w illustrations, 19 illustrations in colour
Topics