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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
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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
  11. Altmetric Badge
    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
  15. Altmetric Badge
    Chapter 14 Some Morphological Operators in Graph Spaces
  16. Altmetric Badge
    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
  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 17: Ultrametric Watersheds
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Mentioned by

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1 policy source

Citations

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10 Mendeley
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Chapter title
Ultrametric Watersheds
Chapter number 17
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_17
Book ISBNs
978-3-64-203612-5, 978-3-64-203613-2, 978-3-64-203612-5, 978-3-64-203613-2
Authors

Laurent Najman

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 10%
Unknown 9 90%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 40%
Lecturer 1 10%
Professor 1 10%
Student > Bachelor 1 10%
Researcher 1 10%
Other 1 10%
Unknown 1 10%
Readers by discipline Count As %
Computer Science 6 60%
Mathematics 1 10%
Agricultural and Biological Sciences 1 10%
Engineering 1 10%
Unknown 1 10%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 15 January 2013.
All research outputs
#7,528,880
of 22,974,684 outputs
Outputs from ADS
#9,298
of 37,417 outputs
Outputs of similar age
#33,575
of 95,904 outputs
Outputs of similar age from ADS
#116
of 400 outputs
Altmetric has tracked 22,974,684 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,417 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 95,904 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 400 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.