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Scale-Space Theories in Computer Vision

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Cover of 'Scale-Space Theories in Computer Vision'

Table of Contents

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    Book Overview
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    Chapter 1 Blur and Disorder
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    Chapter 2 Applications of Locally Orderless Images
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    Chapter 3 Scale Space Technique for Word Segmentation in Handwritten Documents
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    Chapter 4 Fast Geodesic Active Contours
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    Chapter 5 Scale-Space Theories in Computer Vision
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    Chapter 6 Unfolding the Cerebral Cortex Using Level Set Methods
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    Chapter 7 Reconciling Distance Functions and Level Sets
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    Chapter 8 Computation of Ridges via Pullback Metrics from Scale Space
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    Chapter 9 The Maximal Scale Ridge - Incorporating Scale into the Ridge Definition
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    Chapter 10 Detection of Critical Structures in Scale Space
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    Chapter 11 Qualitative Multi-scale Feature Hierarchies for Object Tracking
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    Chapter 12 Riemannian Drums, Anisotropic Curve Evolution and Segmentation
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    Chapter 13 An Active Contour Model without Edges
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    Chapter 14 A Compact and Multiscale Image Model Based on Level Sets
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    Chapter 15 Morphological Scale Space and Mathematical Morphology
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    Chapter 16 Scale-Space from a Level Lines Tree
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    Chapter 17 Morphological Scale-Space Representation with Levelings
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    Chapter 18 Numerical Solution Schemes for Continuous-Scale Morphology
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    Chapter 19 Scale-Space Properties of Regularization Methods
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    Chapter 20 An Adaptive Finite Element Method for Large Scale Image Processing
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    Chapter 21 A Scale-Space Approach to Nonlocal Optical Flow Calculations
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    Chapter 22 Scales in Natural Images and a Consequence on Their Bounded Variation Norm
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    Chapter 23 Edges as Outliers: Anisotropic Smoothing Using Local Image Statistics
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    Chapter 24 The Hausdorff Dimension and Scale-Space Normalisation of Natural Images
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    Chapter 25 Lattice Boltzmann Models for Nonlinear Diffusion Filtering
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    Chapter 26 Geometric-Variational Approach for Color Image Enhancement and Segmentation
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    Chapter 27 A Level Set Model for Image Classification
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    Chapter 28 Calculations on Critical Points under Gaussian Blurring
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    Chapter 29 Scale-Space Theories in Computer Vision
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    Chapter 30 Geometric Multiscale Representation of Numerical Images
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    Chapter 31 Multiscale Morphological Segmentations Based on Watershed, Flooding, and Eikonal PDE
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    Chapter 32 Nonlinear PDEs and Numerical Algorithms for Modeling Levelings and Reconstruction Filters
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    Chapter 33 Proper Scales of Shapes - A Curved Scale Space
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    Chapter 34 Nonlinear Anisotropic Diffusion in Three-Dimensional Electron Microscopy
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    Chapter 35 Polygon Evolution by Vertex Deletion
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    Chapter 36 A Scale-Space Based Approach for Deformable Contour Optimization
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    Chapter 37 Self-similarity of Noise in Scale-Space
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    Chapter 38 A New Time Dependent Model Based on Level Set Motion for Nonlinear Deblurring and Noise Removal
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    Chapter 39 Curvature Scale Space with Affine Length Parametrisation
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    Chapter 40 A Stochastic Scale Space for Multiscale Image Representation
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    Chapter 41 Fast Marching to Moving Object Location
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    Chapter 42 Scale-Space Theories in Computer Vision
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    Chapter 43 Color Invariant Edge Detection
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    Chapter 44 Scale Space Range Image Aspect Graph
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    Chapter 45 Hierachical Density Non-rigid Object Analysis
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    Chapter 46 Discrete Mean Curvature Flow
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    Chapter 47 An Adaptive Local Smoothing for Contour Figure Approximation
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    Chapter 48 Negative Results for Multilevel Preconditioners in Image Deblurring
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    Chapter 49 Decomposition and Hierarchy: Efficient StructuralMatching of Large Multiscale Representations
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    Chapter 50 Tracing of Curvilinear Structures in 3D Images with Single Scale Diameter Measurement
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    Chapter 51 A Geometric Functional for Derivatives Approximation
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    Chapter 52 Segmenting by Compression Using Linear Scale-Space and Watersheds
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    Chapter 53 A Multiscale Taylor Series Approaches to Optic Flow and Stereo: A Generalization of Optic Flow under the Aperture
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    Chapter 54 Global Convergence Rates of Nonlinear Diffusion for Time-Varying Images
Overall attention for this book and its chapters
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Mentioned by

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1 Wikipedia page

Citations

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163 Dimensions

Readers on

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13 Mendeley
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Title
Scale-Space Theories in Computer Vision
Published by
Springer Berlin Heidelberg, June 2003
DOI 10.1007/3-540-48236-9
ISBNs
978-3-54-066498-7, 978-3-54-048236-9
Editors

Nielsen, Mads, Johansen, Peter, Olsen, Ole Fogh, Weickert, Joachim

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 2 15%
Unknown 11 85%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 31%
Student > Doctoral Student 2 15%
Lecturer 2 15%
Student > Bachelor 2 15%
Researcher 1 8%
Other 0 0%
Unknown 2 15%
Readers by discipline Count As %
Computer Science 5 38%
Mathematics 3 23%
Engineering 2 15%
Physics and Astronomy 1 8%
Unknown 2 15%