Mathematical Morphology and Its Applications to Image Processing

Table of Contents

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   Book Overview
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   Chapter 1 Introduction
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   Chapter 2 Set Operator Decomposition and Conditionally Translation Invariant Elementary Operators
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   Chapter 3 Mutational Equations of Morphological Dilation Tubes
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   Chapter 4 Thresholdings, Umbrae, Residuals, and Surpluses of L -Images
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   Chapter 5 Adaptive Parameterized Openings
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   Chapter 6 Synthesis of Adaptive Weighted Order Statistic Filters with Gradient Algorithms
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   Chapter 7 A Spatially Variant, Locally Adaptive, Background Normalization Operator
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   Chapter 8 Using Genetic Algorithms in the Design of Morphological Filters
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    Chapter 9 Minimal Generator Basis of a Finite Structural Opening
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    Chapter 10 Watershed, Hierarchical Segmentation and Waterfall Algorithm
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    Chapter 11 Minimum Spanning Forests for Morphological Segmentation
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    Chapter 12 The Flat Zone Approach and Color Images
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    Chapter 13 Joint Region and Motion Estimation with Morphological Tools
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    Chapter 14 Morphological Segmentation of Image Sequences
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    Chapter 15 Critical Morphological Sampling and Its Applications to Image Coding
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    Chapter 16 A Sampling Approach Based on Equicontinuity
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    Chapter 17 Application of Morphological Filters for Contour Image Sequence Coding
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    Chapter 18 The Geodesic Morphological Skeleton and Fast Transformation Algorithms
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    Chapter 19 Multi-Parameter Skeleton Decomposition
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    Chapter 20 Morphological Systems Theory: Slope Transforms, Max—Min Differential Equations, Envelope Filters, and Sampling
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    Chapter 21 Two Dual Representations of Morphology Based on the Parallel Normal Transport Property
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    Chapter 22 Dominance and Incidence Structures with Applications to Stochastic Geometry and Mathematical Morphology
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    Chapter 23 The Multiscale Morphology Decomposition Theorem
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    Chapter 24 Statistical Pattern Spectrum for Binary Pattern Recognition
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    Chapter 25 Generalized Geodesic Distances Applied to Interpolation and Shape Description
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    Chapter 26 Performance Analysis of a Morphological Voronoi Tessellation Algorithm
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    Chapter 27 Optimization in Voronoi Diagrams
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    Chapter 28 A Stochastic Tessellation of Digital Space
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    Chapter 29 Liquid Phase Sintered Materials Modelling by Random Closed Sets
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    Chapter 30 Monte Carlo Estimation of Morphological Granulometric Discrete Size Distributions
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    Chapter 31 On the Implementation of Morphological Operations
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    Chapter 32 An Evaluation of Priority Queues for Mathematical Morphology
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    Chapter 33 One Pixel Thick Skeletons
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    Chapter 34 Fast Grayscale Granulometry Algorithms
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    Chapter 35 An Efficient Implementation Technique of Adaptive Morphological Operations
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    Chapter 36 Implementation of a Distributed Watershed Algorithm
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    Chapter 37 Visualization of Minkowski Operations by Computer Graphics Techniques
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    Chapter 38 Morphogenesis Simulations with Lattice Gas
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    Chapter 39 Single Object Geometry — The Stereology of Registered Serial Sections
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    Chapter 40 Texture Classification Using Neural Networks and Local Granulometries
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    Chapter 41 Fusion of MR and CT Images of the Human Brain Using Multiresolution Morphology
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    Chapter 42 Morphological Scheme for Morphometric Analysis of Epidermal Biopsy Images
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    Chapter 43 Automatic Quantification of Spine Parameters from X-ray Images by Means of Morphological Tools
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    Chapter 44 Image Processing: A Key to Success in Industrial Applications
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    Chapter 45 Radar Image Analysis Using Morphological Filters
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    Chapter 46 Application of Morphological Operators to Supervised Multidimensional Data Classification