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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
Attention for Chapter 7: Total Variation Minimization for Scalar/Vector Regularization
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Chapter title
Total Variation Minimization for Scalar/Vector Regularization
Chapter number 7
Book title
Geometric Level Set Methods in Imaging, Vision, and Graphics
Published by
Springer, New York, NY, January 2003
DOI 10.1007/0-387-21810-6_7
Book ISBNs
978-0-387-95488-2, 978-0-387-21810-6
Authors

Francoise Dibos, Georges Koepfler, Pascal Monasse, Dibos, Francoise, Koepfler, Georges, Monasse, Pascal

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%