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Mathematical Morphology and Its Applications to Image and Signal Processing

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

Table of Contents

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    Book Overview
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    Chapter 1 Introduction
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    Chapter 2 A Morphological View on Traditional Signal Processing
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    Chapter 3 From the Sup-Decomposition to A Sequential Decomposition
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    Chapter 4 Decomposition of Separable Concave Structuring Functions
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    Chapter 5 Minkowski Sum Volume Minimization for Convex Polyhedra
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    Chapter 6 Topological Properties of Hausdorff Discretizations
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    Chapter 7 Vectorial Levelings and Flattenings
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    Chapter 8 A Lattice Control Model of Fuzzy Dynamical Systems in State-Space
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    Chapter 9 A Morphological Interpolation Approach — Geodesic Set Definition in Case of Empty Intersection
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    Chapter 10 The Morphological-Affine Object Deformation
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    Chapter 11 Affine Invariant Mathematical Morphology Applied to A Generic Shape Recognition Algorithm
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    Chapter 12 Folding Induced Self-Dual Filters
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    Chapter 13 Flexible Linear Openings and Closings
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    Chapter 14 Some Applications of Aperture Filters
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    Chapter 15 GA Optimisation of Multidimensional Grey-Scale Soft Morphological Filters with Applications in Archive Film Restoration
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    Chapter 16 New Insight on Digital Topology
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    Chapter 17 Approximate Connectivity and Mathematical Morphology
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    Chapter 18 Multiresolution Connectivity: An Axiomatic Approach
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    Chapter 19 Connected Operators Based on Region-Tree Pruning
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    Chapter 20 Image Segmentation Based on the Derivative of the Morphological Profile
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    Chapter 21 Flooding and Segmentation
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    Chapter 22 A Morphological Multi-Scale Gradient for Color Image Segmentation
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    Chapter 23 Automatic Watershed Segmentation of Color Images
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    Chapter 24 Motion Segmentation Using Seeded Region Growing
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    Chapter 25 A Segmentation Pyramid for the Interactive Segmentation of 3-D Images and Video Sequences
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    Chapter 26 Partition Lattice Operators for Extraction of Semantic Video Objects
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    Chapter 27 Morphological Granulometric Deconstruction
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    Chapter 28 Surface Texture Classification from Morphological Transformations
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    Chapter 29 Content Dependent Image Sampling Using Mathematical Morphology: Application to Mipmapping
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    Chapter 30 Morphological Pyramids and Wavelets Based on the Quincunx Lattice
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    Chapter 31 Morphological Scale-Space Operators: An Algebraic Framework
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    Chapter 32 An Idempotent Scale-Space Approach for Morphological Segmentation
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    Chapter 33 Efficient Dilation, Erosion, Opening and Closing Algorithms
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    Chapter 34 Fast Morphological Attribute Operations Using Tarjan’s Union-Find Algorithm
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    Chapter 35 A Change Detector Based on Level Sets
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    Chapter 36 A General Algorithm for Computing Distance Transforms in Linear Time
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    Chapter 37 The Ordered Queue and the Optimality of the Watershed Approaches
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    Chapter 38 Discrete 3D Wave Propagation for Computing Morphological Operations from Surface Patches and Unorganized Points
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    Chapter 39 Two-Stage Lossy/Lossless Compression of Grayscale Document Images
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    Chapter 40 Boosting OCR Classifier by Optimal Edge Noise Filtering
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    Chapter 41 Morphological Bank Check Logo Segmentation With Few A Prior Knowledge
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    Chapter 42 Morphological Pseudo Convex Hull to Correct Handwriting Baseline skew
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    Chapter 43 Morphological Segmentation of Text and Figures in Renaissance Books (XVI Century)
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    Chapter 44 Application of Mathematical Morphology and Markov Random Field Theory to the Automatic Extraction of Linear Features in Airborne Images
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    Chapter 45 Testing Some Morphological Approaches to Face Localization
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    Chapter 46 Quantitative Description of Telecommunication Networks by Simulation
Attention for Chapter 36: A General Algorithm for Computing Distance Transforms in Linear Time
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Chapter title
A General Algorithm for Computing Distance Transforms in Linear Time
Chapter number 36
Book title
Mathematical Morphology and its Applications to Image and Signal Processing
Published by
Springer, Boston, MA, January 2002
DOI 10.1007/0-306-47025-x_36
Book ISBNs
978-0-7923-7862-4, 978-0-306-47025-7
Authors

A. Meijster, J. B. T. M. Roerdink, W. H. Hesselink

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 2%
France 2 2%
Germany 1 <1%
Ukraine 1 <1%
China 1 <1%
Portugal 1 <1%
Unknown 111 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 38 32%
Researcher 24 20%
Student > Master 14 12%
Student > Doctoral Student 9 8%
Professor > Associate Professor 8 7%
Other 22 18%
Unknown 4 3%
Readers by discipline Count As %
Computer Science 57 48%
Engineering 22 18%
Physics and Astronomy 10 8%
Agricultural and Biological Sciences 5 4%
Biochemistry, Genetics and Molecular Biology 4 3%
Other 11 9%
Unknown 10 8%