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Mathematical Morphology and Its Application to Signal and Image Processing

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

Table of Contents

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    Book Overview
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    Chapter 1 Discrete Driver Assistance
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    Chapter 2 The “False Colour” Problem
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    Chapter 3 Bipolar Fuzzy Mathematical Morphology for Spatial Reasoning
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    Chapter 4 An Axiomatic Approach to Hyperconnectivity
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    Chapter 5 Hyperconnectivity, Attribute-Space Connectivity and Path Openings: Theoretical Relationships
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    Chapter 6 Constrained Connectivity and Transition Regions
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    Chapter 7 Surface-Area-Based Attribute Filtering in 3D
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    Chapter 8 Levelings and Geodesic Reconstructions
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    Chapter 9 A Comparison of Spatial Pattern Spectra
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    Chapter 10 Differential Equations for Morphological Amoebas
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    Chapter 11 Spatially-Variant Anisotropic Morphological Filters Driven by Gradient Fields
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    Chapter 12 3-D Extraction of Fibres from Microtomographic Images of Fibre-Reinforced Composite Materials
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    Chapter 13 Spatially-Variant Morpho-Hessian Filter: Efficient Implementation and Application
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    Chapter 14 Some Morphological Operators in Graph Spaces
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    Chapter 15 Morphology on Graphs and Minimum Spanning Trees
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    Chapter 16 Segmentation of Complex Images Based on Component-Trees: Methodological Tools
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    Chapter 17 Ultrametric Watersheds
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    Chapter 18 An Efficient Morphological Active Surface Model for Volumetric Image Segmentation
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    Chapter 19 Ultimate Attribute Opening Segmentation with Shape Information
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    Chapter 20 Hierarchical Shape Decomposition via Level Sets
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    Chapter 21 Morphological Exploration of Shape Spaces
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    Chapter 22 From Scalar-Valued Images to Hypercomplex Representations and Derived Total Orderings for Morphological Operators
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    Chapter 23 A Directional Rouy-Tourin Scheme for Adaptive Matrix-Valued Morphology
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    Chapter 24 Component-Trees and Multi-value Images: A Comparative Study
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    Chapter 25 Fast Implementation of the Ultimate Opening
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    Chapter 26 Stack Filter Classifiers
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    Chapter 27 Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images
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    Chapter 28 An Efficient Algorithm for Computing Multi-scale Connectivity Measures
Attention for Chapter 27: Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images
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Chapter title
Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images
Chapter number 27
Book title
Mathematical Morphology and Its Application to Signal and Image Processing
Published in
ADS, August 2009
DOI 10.1007/978-3-642-03613-2_27
Book ISBNs
978-3-64-203612-5, 978-3-64-203613-2
Authors

Roland Levillain, Thierry Géraud, Laurent Najman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Russia 1 5%
France 1 5%
Unknown 17 89%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 42%
Student > Ph. D. Student 6 32%
Professor 1 5%
Professor > Associate Professor 1 5%
Student > Postgraduate 1 5%
Other 0 0%
Unknown 2 11%
Readers by discipline Count As %
Computer Science 13 68%
Engineering 2 11%
Medicine and Dentistry 1 5%
Mathematics 1 5%
Unknown 2 11%