Scale-Space and Morphology in Computer Vision

Table of Contents

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   Book Overview
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   Chapter 1 Using the Vector Distance Functions to Evolve Manifolds of Arbitrary Codimension
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   Chapter 2 Computing Optic Flow by Scale-Space Integration of Normal Flow
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   Chapter 3 Image Registration, Optical Flow, and Local Rigidity
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   Chapter 4 What Do Features Tell about Images?
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   Chapter 5 Features in Scale Space: Progress on the 2D 2 nd Order Jet
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   Chapter 6 Tracking of Multi-state Hand Models Using Particle Filtering and a Hierarchy of Multi-scale Image Features⋆
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   Chapter 7 A Note on Two Classical Shock Filters and Their Asymptotics
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   Chapter 8 Bayesian Object Detection through Level Curves Selection
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    Chapter 9 A Multi-scale Feature Likelihood Map for Direct Evaluation of Object Hypotheses⋆
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    Chapter 10 Total Variation Based Oversampling of Noisy Images
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    Chapter 11 Down-Scaling for Better Transform Compression
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    Chapter 12 Algebraic and PDE Approaches for Multiscale Image Operators with Global Constraints: Reference Semilattice Erosions and Levelings
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    Chapter 13 Adjunctions in Pyramids and Curve Evolution
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    Chapter 14 Hierarchies of Partitions and Morphological Segmentation
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    Chapter 15 On the Behavior of Spatial Critical Points under Gaussian Blurring A Folklore Theorem and Scale-Space Constraints
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    Chapter 16 Scale-Space Theories for Scalar and Vector Images
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    Chapter 17 Gaussian Convolutions Numerical Approximations Based on Interpolation
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    Chapter 18 Scale-Spaces, PDE’s, and Scale-Invariance
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    Chapter 19 Generic Multi-scale Segmentation and Curve Approximation Method
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    Chapter 20 Segmentation of Shapes⋆
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    Chapter 21 The Influence of the γ-Parameter on Feature Detection with Automatic Scale Selection
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    Chapter 22 Scale-Time Kernels and Models
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    Chapter 23 Exploring Non-linear Difusion: The Difusion Echo
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    Chapter 24 Bilateral Filtering and Anisotropic Difusion: Towards a Unified Viewpoint
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    Chapter 25 An Accurate Operator Splitting Scheme for Nonlinear Difusion Filtering
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    Chapter 26 Selection of Optimal Stopping Time for Nonlinear Difusion Filtering
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    Chapter 27 Complex Difusion Processes for Image Filtering
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    Chapter 28 Combing a Porcupine via Stereographic Direction Difusion
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    Chapter 29 Inverse Scale Space Theory for Inverse Problems
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    Chapter 30 Histograms of Infinitesimal Neighbourhoods
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    Chapter 31 Indentation and Protrusion Detection and Its Applications
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    Chapter 32 Geodesic Active Contours Applied to Texture Feature Space
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    Chapter 33 Color Differential Structure
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    Chapter 34 Geometry Motivated Variational Segmentation for Color Images
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    Chapter 35 Hierarchical Segmentation Using Dynamics of Multiscale Color Gradient Watersheds
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    Chapter 36 Fast Statistical Level Sets Image Segmentation for Biomedical Applications
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    Chapter 37 Robust Multi-scale Non-rigid Registration of 3D Ultrasound Images
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    Chapter 38 Segmentation-Free Estimation of Length Distributions Using Sieves and RIA Morphology
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    Chapter 39 Morphological Tools for Robust Key-Region Extraction and Video Shot Modeling⋆
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    Chapter 40 Polyhedral Set Operations for 3D Discrete Object Deformation
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    Chapter 41 Inverse Quantization of Digital Binary Images for Resolution Conversion