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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
  3. Altmetric Badge
    Chapter 2 The “False Colour” Problem
  4. Altmetric Badge
    Chapter 3 Bipolar Fuzzy Mathematical Morphology for Spatial Reasoning
  5. Altmetric Badge
    Chapter 4 An Axiomatic Approach to Hyperconnectivity
  6. Altmetric Badge
    Chapter 5 Hyperconnectivity, Attribute-Space Connectivity and Path Openings: Theoretical Relationships
  7. Altmetric Badge
    Chapter 6 Constrained Connectivity and Transition Regions
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    Chapter 7 Surface-Area-Based Attribute Filtering in 3D
  9. Altmetric Badge
    Chapter 8 Levelings and Geodesic Reconstructions
  10. Altmetric Badge
    Chapter 9 A Comparison of Spatial Pattern Spectra
  11. Altmetric Badge
    Chapter 10 Differential Equations for Morphological Amoebas
  12. Altmetric Badge
    Chapter 11 Spatially-Variant Anisotropic Morphological Filters Driven by Gradient Fields
  13. Altmetric Badge
    Chapter 12 3-D Extraction of Fibres from Microtomographic Images of Fibre-Reinforced Composite Materials
  14. Altmetric Badge
    Chapter 13 Spatially-Variant Morpho-Hessian Filter: Efficient Implementation and Application
  15. Altmetric Badge
    Chapter 14 Some Morphological Operators in Graph Spaces
  16. Altmetric Badge
    Chapter 15 Morphology on Graphs and Minimum Spanning Trees
  17. Altmetric Badge
    Chapter 16 Segmentation of Complex Images Based on Component-Trees: Methodological Tools
  18. Altmetric Badge
    Chapter 17 Ultrametric Watersheds
  19. Altmetric Badge
    Chapter 18 An Efficient Morphological Active Surface Model for Volumetric Image Segmentation
  20. Altmetric Badge
    Chapter 19 Ultimate Attribute Opening Segmentation with Shape Information
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    Chapter 20 Hierarchical Shape Decomposition via Level Sets
  22. Altmetric Badge
    Chapter 21 Morphological Exploration of Shape Spaces
  23. Altmetric Badge
    Chapter 22 From Scalar-Valued Images to Hypercomplex Representations and Derived Total Orderings for Morphological Operators
  24. Altmetric Badge
    Chapter 23 A Directional Rouy-Tourin Scheme for Adaptive Matrix-Valued Morphology
  25. Altmetric Badge
    Chapter 24 Component-Trees and Multi-value Images: A Comparative Study
  26. Altmetric Badge
    Chapter 25 Fast Implementation of the Ultimate Opening
  27. Altmetric Badge
    Chapter 26 Stack Filter Classifiers
  28. Altmetric Badge
    Chapter 27 Milena: Write Generic Morphological Algorithms Once, Run on Many Kinds of Images
  29. Altmetric Badge
    Chapter 28 An Efficient Algorithm for Computing Multi-scale Connectivity Measures
Attention for Chapter 16: Segmentation of Complex Images Based on Component-Trees: Methodological Tools
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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 (81st percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

news
1 news outlet

Citations

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11 Dimensions

Readers on

mendeley
3 Mendeley
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Chapter title
Segmentation of Complex Images Based on Component-Trees: Methodological Tools
Chapter number 16
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_16
Book ISBNs
978-3-64-203612-5, 978-3-64-203613-2
Authors

Benoît Caldairou, Benoît Naegel, Nicolas Passat, Caldairou, Benoît, Naegel, Benoît, Passat, Nicolas

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 67%
Researcher 1 33%
Readers by discipline Count As %
Computer Science 3 100%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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
#4,225,497
of 23,025,074 outputs
Outputs from ADS
#3,341
of 37,452 outputs
Outputs of similar age
#16,345
of 96,000 outputs
Outputs of similar age from ADS
#33
of 401 outputs
Altmetric has tracked 23,025,074 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 37,452 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 88% 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 96,000 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 81% of its contemporaries.
We're also able to compare this research output to 401 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.