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Mathematical Morphology and Its Application to Signal and Image Processing

Overview of attention for book
Cover of 'Mathematical Morphology and Its Application to Signal and Image Processing'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    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
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
policy
1 policy source

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
8 Mendeley
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Title
Mathematical Morphology and Its Application to Signal and Image Processing
Published by
ADS, August 2009
DOI 10.1007/978-3-642-03613-2
ISBNs
978-3-64-203612-5, 978-3-64-203613-2
Editors

Michael H. F. Wilkinson, Jos B. T. M. Roerdink

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 13%
United States 1 13%
Unknown 6 75%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 38%
Researcher 2 25%
Student > Bachelor 1 13%
Student > Ph. D. Student 1 13%
Unspecified 1 13%
Other 0 0%
Readers by discipline Count As %
Computer Science 4 50%
Engineering 3 38%
Unspecified 1 13%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 01 March 2018.
All research outputs
#2,967,691
of 22,981,247 outputs
Outputs from ADS
#1,932
of 37,421 outputs
Outputs of similar age
#11,268
of 111,723 outputs
Outputs of similar age from ADS
#23
of 387 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,421 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 94% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 111,723 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 387 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.