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Variational and Level Set Methods in Image Segmentation

  • Fester Einband
  • 190 Seiten
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A fundamental problem in computer vision, image segmentation serves many useful applications such as remote sensing, medicine, rob... Weiterlesen
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Beschreibung

A fundamental problem in computer vision, image segmentation serves many useful applications such as remote sensing, medicine, robotics, database search, and security. This book describes level set methods for image and image sequence segmentation. Chapter 1 contains an overview. The basic two-region static image segmentation formulations and generalizations to multiple regions are described in Chapter 2. Segmentation of images with specific statistical models is treated next (Chapter 3). The remaining chapters deal with the segmentation of optical flow in image sequences. Variational optical flow estimation is treated in Chapter 4, followed by joint optical flow estimation and segmentation in Chapter 5. The final chapter describes optical flow three-dimensional interpretation and segmentation.

Klappentext
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.

Inhalt

Introduction.- Image Segmentation.- Image Models.- Optical Flow Estimation.- Joint Optical Flow Estimation and Segmentation.- Optical Flow 3D segmentation.- Appendix.

Produktinformationen

Titel: Variational and Level Set Methods in Image Segmentation
Autor:
EAN: 9783642153518
ISBN: 3642153518
Format: Fester Einband
Herausgeber: Springer-Verlag GmbH
Genre: Elektrotechnik
Anzahl Seiten: 190
Gewicht: 508g
Größe: H241mm x B160mm x T17mm
Veröffentlichung: 01.11.2010
Jahr: 2010