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Geometric Level Set Methods in Imaging, Vision, and Graphics

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Cover of 'Geometric Level Set Methods in Imaging, Vision, and Graphics'

Table of Contents

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    Book Overview
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    Chapter 1 Level Set Methods
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    Chapter 2 Deformable Models: Classic, Topology-Adaptive and Generalized Formulations
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    Chapter 3 Fast Methods for Implicit Active Contour Models
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    Chapter 4 Fast Edge Integration
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    Chapter 5 Variational Snake Theory
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    Chapter 6 Multiplicative Denoising and Deblurring: Theory and Algorithms
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    Chapter 7 Total Variation Minimization for Scalar/Vector Regularization
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    Chapter 8 Morphological Global Reconstruction and Levelings: Lattice and PDE Approaches
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    Chapter 9 Fast Marching Techniques for Visual Grouping & Segmentation
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    Chapter 10 Multiphase Object Detection and Image Segmentation
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    Chapter 11 Adaptive Segmentation of Vector Valued Images
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    Chapter 12 Mumford-Shah for Segmentation and Stereo
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    Chapter 13 Shape Analysis towards Model-based Segmentation
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    Chapter 14 Joint Image Registration and Segmentation
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    Chapter 15 Image Alignment
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    Chapter 16 Variational Principles in Optical Flow Estimation and Tracking
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    Chapter 17 Region Matching and Tracking under Deformations or Occlusions
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    Chapter 18 Computational Stereo: A Variational Method
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    Chapter 19 Visualization, Analysis and Shape Reconstruction of Sparse Data
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    Chapter 20 Variational Problems and Partial Differential Equations on Implicit Surfaces: Bye Bye Triangulated Surfaces?
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    Chapter 21 Knowledge-Based Segmentation of Medical Images
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    Chapter 22 Topology Preserving Geometric Deformable Models for Brain Reconstruction
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    Chapter 23 Editing Geometric Models
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    Chapter 24 Simulating Natural Phenomena
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Title
Geometric Level Set Methods in Imaging, Vision, and Graphics
Published by
Springer New York, May 2007
DOI 10.1007/b97541
ISBNs
978-0-387-95488-2, 978-0-387-21810-6
Authors

Osher, Stanley, Paragios, Nikos

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 180 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 2%
Germany 2 1%
Switzerland 2 1%
France 2 1%
Malaysia 2 1%
Spain 2 1%
Mexico 2 1%
Sweden 1 <1%
Slovakia 1 <1%
Other 8 4%
Unknown 154 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 58 32%
Researcher 31 17%
Student > Master 23 13%
Professor > Associate Professor 14 8%
Professor 9 5%
Other 28 16%
Unknown 17 9%
Readers by discipline Count As %
Computer Science 61 34%
Engineering 51 28%
Mathematics 16 9%
Agricultural and Biological Sciences 8 4%
Physics and Astronomy 5 3%
Other 16 9%
Unknown 23 13%