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Mathematical Morphology and Its Applications to Signal and Image Processing

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Cover of 'Mathematical Morphology and Its Applications to Signal and Image Processing'

Table of Contents

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    Book Overview
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    Chapter 1 Tropical Geometry, Mathematical Morphology and Weighted Lattices
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    Chapter 2 From Structuring Elements to Structuring Neighborhood Systems
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    Chapter 3 Hierarchical Laplacian and Its Spectrum in Ultrametric Image Processing
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    Chapter 4 A Link Between the Multiplicative and Additive Functional Asplund’s Metrics
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    Chapter 5 An Equivalence Relation Between Morphological Dynamics and Persistent Homology in 1D
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    Chapter 6 Dual-Primal Skeleton: A Thinning Scheme for Vertex Sets Lying on a Surface Mesh
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    Chapter 7 Topological Mapper for 3D Volumetric Images
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    Chapter 8 Local Uniqueness Under Two Directions in Discrete Tomography: A Graph-Theoretical Approach
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    Chapter 9 Constructing a Braid of Partitions from Hierarchies of Partitions
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    Chapter 10 Watersheding Hierarchies
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    Chapter 11 On the Probabilities of Hierarchical Watersheds
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    Chapter 12 Incremental Attribute Computation in Component-Hypertrees
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    Chapter 13 Incremental Bit-Quads Count in Tree of Shapes
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    Chapter 14 Matrix Morphology with Extremum Principle
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    Chapter 15 Classification of Hyperspectral Images as Tensors Using Nonnegative CP Decomposition
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    Chapter 16 A Unified Approach to the Processing of Hyperspectral Images
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    Chapter 17 Introducing Multivariate Connected Openings and Closings
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    Chapter 18 Approaches to Multivalued Mathematical Morphology Based on Uncertain Reduced Orderings
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    Chapter 19 Efficient 3D Erosion Dilation Analysis by Sub-Pixel EDT
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    Chapter 20 A Fast, Memory-Efficient Alpha-Tree Algorithm Using Flooding and Tree Size Estimation
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    Chapter 21 Preventing Chaining in Alpha-Trees Using Gabor Filters
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    Chapter 22 A Graph Formalism for Time and Memory Efficient Morphological Attribute-Space Connected Filters
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    Chapter 23 Ultimate Levelings with Strategy for Filtering Undesirable Residues Based on Machine Learning
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    Chapter 24 Max-Plus Operators Applied to Filter Selection and Model Pruning in Neural Networks
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    Chapter 25 Part-Based Approximations for Morphological Operators Using Asymmetric Auto-encoders
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    Chapter 26 Marker Based Segmentation Revisited
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    Chapter 27 Fast Marching Based Superpixels Generation
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    Chapter 28 Characterization and Statistics of Distance-Based Elementary Morphological Operators
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    Chapter 29 Mathematical Morphology on Irregularly Sampled Data Applied to Segmentation of 3D Point Clouds of Urban Scenes
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    Chapter 30 Attribute Filtering of Urban Point Clouds Using Max-Tree on Voxel Data
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    Chapter 31 Complementarity-Preserving Fracture Morphology for Archaeological Fragments
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    Chapter 32 Pattern Spectra from Different Component Trees for Estimating Soil Size Distribution
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    Chapter 33 Contact Based Hierarchical Segmentation for Granular Materials
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    Chapter 34 Detecting Branching Nodes of Multiply Connected 3D Structures
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    Chapter 35 Segmenting Junction Regions Without Skeletonization Using Geodesic Operators and the Max-Tree
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    Chapter 36 Multilabel, Multiscale Topological Transformation for Cerebral MRI Segmentation Post-processing
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    Chapter 37 Hierarchical Approach for Neonate Cerebellum Segmentation from MRI: An Experimental Study
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    Chapter 38 Atlas-Based Automated Detection of Swim Bladder in Medaka Embryo
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    Chapter 39 Self-dual Pattern Spectra for Characterising the Dermal-Epidermal Junction in 3D Reflectance Confocal Microscopy Imaging
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    Chapter 40 Spherical Fluorescent Particle Segmentation and Tracking in 3D Confocal Microscopy
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    Chapter 41 Combining Mathematical Morphology and the Hilbert Transform for Fully Automatic Nuclei Detection in Fluorescence Microscopy
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Title
Mathematical Morphology and Its Applications to Signal and Image Processing
Published by
Springer International Publishing, August 2019
DOI 10.1007/978-3-030-20867-7
ISBNs
978-3-03-020866-0, 978-3-03-020867-7
Editors

Burgeth, Bernhard, Kleefeld, Andreas, Naegel, Benoît, Passat, Nicolas, Perret, Benjamin

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