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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 Hourglass Shapes in Rank Grey-Level Hit-or-miss Transform for Membrane Segmentation in HER2/neu Images
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    Chapter 2 Automated Digital Hair Removal by Threshold Decomposition and Morphological Analysis
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    Chapter 3 Portal Extraction Based on an Opening Labeling for Ray Tracing
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    Chapter 4 Evaluation of Morphological Hierarchies for Supervised Segmentation
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    Chapter 5 Study of Binary Partition Tree Pruning Techniques for Polarimetric SAR Images
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    Chapter 6 A Comparison Between Extinction Filters and Attribute Filters
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    Chapter 7 Inner-Cheeger Opening and Applications
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    Chapter 8 Mathematical Morphology and Its Applications to Signal and Image Processing
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    Chapter 9 A Pansharpening Algorithm Based on Morphological Filters
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    Chapter 10 An Automated Assay for the Evaluation of Mortality in Fish Embryo
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    Chapter 11 A Top-Down Approach to the Estimation of Depth Maps Driven by Morphological Segmentations
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    Chapter 12 A Comparison of Some Morphological Filters for Improving OCR Performance
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    Chapter 13 Local Blur Estimation Based on Toggle Mapping
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    Chapter 14 Mathematical Morphology and Its Applications to Signal and Image Processing
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    Chapter 15 Automatic Threshold Selection for Profiles of Attribute Filters Based on Granulometric Characteristic Functions
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    Chapter 16 Local 2D Pattern Spectra as Connected Region Descriptors
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    Chapter 17 Spatial Repulsion Between Markers Improves Watershed Performance
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    Chapter 18 New Characterizations of Minimum Spanning Trees and of Saliency Maps Based on Quasi-flat Zones
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    Chapter 19 Braids of Partitions
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    Chapter 20 Constrained Optimization on Hierarchies and Braids of Partitions
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    Chapter 21 Segmentation of Multimodal Images Based on Hierarchies of Partitions
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    Chapter 22 Multi-image Segmentation: A Collaborative Approach Based on Binary Partition Trees
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    Chapter 23 Scale-Space Representation Based on Levelings Through Hierarchies of Level Sets
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    Chapter 24 Cluster Based Vector Attribute Filtering
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    Chapter 25 Intelligent Object Detection Using Trees
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    Chapter 26 GraphBPT: An Efficient Hierarchical Data Structure for Image Representation and Probabilistic Inference
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    Chapter 27 Probabilistic Hierarchical Morphological Segmentation of Textures
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    Chapter 28 The Waterfall Hierarchy on Weighted Graphs
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    Chapter 29 N-ary Mathematical Morphology
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    Chapter 30 Mathematical Morphology and Its Applications to Signal and Image Processing
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    Chapter 31 A Color Tree of Shapes with Illustrations on Filtering, Simplification, and Segmentation
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    Chapter 32 Elementary Morphological Operations on the Spherical CIELab Quantale
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    Chapter 33 Spectral Ordering Assessment Using Spectral Median Filters
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    Chapter 34 Non-adaptive and Amoeba Quantile Filters for Colour Images
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    Chapter 35 Ordering on the Probability Simplex of Endmembers for Hyperspectral Morphological Image Processing
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    Chapter 36 Bagging Stochastic Watershed on Natural Color Image Segmentation
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    Chapter 37 Binary Partition Trees-Based Spectral-Spatial Permutation Ordering
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    Chapter 38 Shape-Based Analysis on Component-Graphs for Multivalued Image Processing
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    Chapter 39 Elementary Morphology for SO(2)- and SO(3)-Orientation Fields
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    Chapter 40 When Convex Analysis Meets Mathematical Morphology on Graphs
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    Chapter 41 ( max , min )-convolution and Mathematical Morphology
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    Chapter 42 Learning Watershed Cuts Energy Functions
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    Chapter 43 Morphological PDE and Dilation/Erosion Semigroups on Length Spaces
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    Chapter 44 Hausdorff Distances Between Distributions Using Optimal Transport and Mathematical Morphology
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    Chapter 45 The Power Laws of Geodesics in Some Random Sets with Dilute Concentration of Inclusions
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    Chapter 46 A 3D Sequential Thinning Scheme Based on Critical Kernels
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    Chapter 47 How to Make n D Functions Digitally Well-Composed in a Self-dual Way
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    Chapter 48 Self-duality and Digital Topology: Links Between the Morphological Tree of Shapes and Well-Composed Gray-Level Images
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    Chapter 49 A Combinatorial 4-Coordinate System for the Diamond Grid
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    Chapter 50 Wiener Index on Lines of Unit Cells of the Body-Centered Cubic Grid
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    Chapter 51 Part-Based Segmentation by Skeleton Cut Space Analysis
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    Chapter 52 Mathematical Morphology and Its Applications to Signal and Image Processing
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    Chapter 53 Ranking Orientation Responses of Path Operators: Motivations, Choices and Algorithmics
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    Chapter 54 Exact Linear Time Euclidean Distance Transforms of Grid Line Sampled Shapes
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    Chapter 55 Fast Estimation of Intrinsic Volumes in 3D Gray Value Images
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    Chapter 56 Mathematical Morphology and Its Applications to Signal and Image Processing
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    Chapter 57 Incremental and Efficient Computation of Families of Component Trees
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    Chapter 58 Efficient Computation of Attributes and Saliency Maps on Tree-Based Image Representations
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    Chapter 59 Fast Evaluation of the Robust Stochastic Watershed
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    Chapter 60 A Watershed Algorithm Progressively Unveiling Its Optimality
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    Chapter 61 An Approach to Adaptive Quadratic Structuring Functions Based on the Local Structure Tensor
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    Chapter 62 Adaptive Hit or Miss Transform
Overall attention for this book and its chapters
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Title
Mathematical Morphology and Its Applications to Signal and Image Processing
Published by
Springer International Publishing, May 2015
DOI 10.1007/978-3-319-18720-4
ISBNs
978-3-31-918719-8, 978-3-31-918720-4
Editors

Benediktsson, Jón Atli, Chanussot, Jocelyn, Najman, Laurent, Talbot, Hugues

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 3%
Spain 3 3%
Brazil 2 2%
France 1 1%
United Kingdom 1 1%
Germany 1 1%
India 1 1%
Canada 1 1%
Unknown 80 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 32 34%
Student > Master 20 22%
Researcher 10 11%
Student > Doctoral Student 7 8%
Student > Bachelor 6 6%
Other 10 11%
Unknown 8 9%
Readers by discipline Count As %
Engineering 33 35%
Computer Science 33 35%
Mathematics 3 3%
Earth and Planetary Sciences 3 3%
Agricultural and Biological Sciences 2 2%
Other 7 8%
Unknown 12 13%