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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 Morphological Perceptrons: Geometry and Training Algorithms
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    Chapter 2 Morphological Links Between Formal Concepts and Hypergraphs
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    Chapter 3 Morphological Semigroups and Scale-Spaces on Ultrametric Spaces
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    Chapter 4 Topological Relations Between Bipolar Fuzzy Sets Based on Mathematical Morphology
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    Chapter 5 Introducing the Dahu Pseudo-Distance
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    Chapter 6 Symmetric Counterparts of Classical 1D Haar Filters for Improved Image Reconstruction via Discrete Back-Projection
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    Chapter 7 Watershed Segmentation with a Controlled Precision
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    Chapter 8 Bandeirantes: A Graph-Based Approach for Curve Tracing and Boundary Tracking
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    Chapter 9 A Supervoxel-Based Solution to Resume Segmentation for Interactive Correction by Differential Image-Foresting Transforms
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    Chapter 10 Seed Robustness of Oriented Image Foresting Transform: Core Computation and the Robustness Coefficient
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    Chapter 11 Evaluation of Combinations of Watershed Hierarchies
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    Chapter 12 Prior-Based Hierarchical Segmentation Highlighting Structures of Interest
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    Chapter 13 Morphological Hierarchical Image Decomposition Based on Laplacian 0-Crossings
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    Chapter 14 Sparse Stereo Disparity Map Densification Using Hierarchical Image Segmentation
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    Chapter 15 Hierarchical Segmentation Based Upon Multi-resolution Approximations and the Watershed Transform
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    Chapter 16 Power Tree Filter: A Theoretical Framework Linking Shortest Path Filters and Minimum Spanning Tree Filters
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    Chapter 17 Watersheds on Hypergraphs for Data Clustering
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    Chapter 18 Cost-Complexity Pruning of Random Forests
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    Chapter 19 Implicit Component-Graph: A Discussion
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    Chapter 20 Attribute Operators for Color Images: Image Segmentation Improved by the Use of Unsupervised Segmentation Evaluation Methods
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    Chapter 21 Ultimate Opening Combined with Area Stability Applied to Urban Scenes
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    Chapter 22 PDE for Bivariate Amoeba Median Filtering
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    Chapter 23 A Unified Approach to PDE-Driven Morphology for Fields of Orthogonal and Generalized Doubly-Stochastic Matrices
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    Chapter 24 Matrix-Valued Levelings for Colour Images
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    Chapter 25 Nonlocal Difference Operators on Graphs for Interpolation on Point Clouds
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    Chapter 26 Function Decomposition in Main and Lesser Peaks
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    Chapter 27 Morphological Processing of Gaussian Residuals for Edge-Preserving Smoothing
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    Chapter 28 Quasi-Flat Zones for Angular Data Simplification
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    Chapter 29 Connected Morphological Attribute Filters on Distributed Memory Parallel Machines
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    Chapter 30 Statistical Threshold Selection for Path Openings to Detect Cracks
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    Chapter 31 Attribute Profiles from Partitioning Trees
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    Chapter 32 Distance Between Vector-Valued Fuzzy Sets Based on Intersection Decomposition with Applications in Object Detection
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    Chapter 33 Double-Sided Probing by Map of Asplund’s Distances Using Logarithmic Image Processing in the Framework of Mathematical Morphology
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    Chapter 34 An Affinity Score for Grains Merging and Touching Grains Separation
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    Chapter 35 Morphological Characterization of Graphene Plans Stacking
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    Chapter 36 Segmentation of Collagen Fiber Bundles in 3D by Waterfall on Orientations
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    Chapter 37 Brain Lesion Detection in 3D PET Images Using Max-Trees and a New Spatial Context Criterion
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    Chapter 38 Morphological Texture Description from Multispectral Skin Images in Cosmetology
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    Chapter 39 Application of Size Distribution Analysis to Wrinkle Evaluation of Textile Materials
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    Chapter 40 Morphological Analysis of Brownian Motion for Physical Measurements
Attention for Chapter 17: Watersheds on Hypergraphs for Data Clustering
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Chapter title
Watersheds on Hypergraphs for Data Clustering
Chapter number 17
Book title
Mathematical Morphology and Its Applications to Signal and Image Processing
Published by
Springer, Cham, May 2017
DOI 10.1007/978-3-319-57240-6_17
Book ISBNs
978-3-31-957239-0, 978-3-31-957240-6
Authors

Fabio Dias, Moussa R. Mansour, Paola Valdivia, Jean Cousty, Laurent Najman, Dias, Fabio, Mansour, Moussa R., Valdivia, Paola, Cousty, Jean, Najman, Laurent

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 9 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 44%
Lecturer 1 11%
Other 1 11%
Student > Doctoral Student 1 11%
Researcher 1 11%
Other 0 0%
Unknown 1 11%
Readers by discipline Count As %
Computer Science 5 56%
Business, Management and Accounting 1 11%
Economics, Econometrics and Finance 1 11%
Unknown 2 22%