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Mathematical Morphology and Its Applications to Image and Signal Processing : 10th International Symposium, ISMM 2011, Verbania-Intra, Italy, July 6-8, 2011. Proceedings

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Cover of 'Mathematical Morphology and Its Applications to Image and Signal Processing : 10th International Symposium, ISMM 2011, Verbania-Intra, Italy, July 6-8, 2011. Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 Sparse Mathematical Morphology Using Non-negative Matrix Factorization
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    Chapter 2 Fuzzy Bipolar Mathematical Morphology: A General Algebraic Setting
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    Chapter 3 Image Decompositions and Transformations as Peaks and Wells
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    Chapter 4 Grain Building Ordering
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    Chapter 5 Orders on Partial Partitions and Maximal Partitioning of Sets
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    Chapter 6 Connective Segmentation Generalized to Arbitrary Complete Lattices
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    Chapter 7 Hyperconnections and Openings on Complete Lattices
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    Chapter 8 Toward a New Axiomatic for Hyper-Connections
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    Chapter 9 Preventing Chaining through Transitions While Favouring It within Homogeneous Regions
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    Chapter 10 Pattern Spectra from Partition Pyramids and Hierarchies
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    Chapter 11 Frequent and Dependent Connectivities
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    Chapter 12 Stochastic Multiscale Segmentation Constrained by Image Content
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    Chapter 13 Pattern Recognition Using Morphological Class Distribution Functions and Classification Trees
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    Chapter 14 Object Descriptors Based on a List of Rectangles: Method and Algorithm
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    Chapter 15 Ultimate Opening and Gradual Transitions
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    Chapter 16 Spatio-temporal Quasi-Flat Zones for Morphological Video Segmentation
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    Chapter 17 Primitive and Grain Estimation Using Flexible Magnification for a Morphological Texture Model
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    Chapter 18 Geodesic Attributes Thinnings and Thickenings
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    Chapter 19 Morphological Bilateral Filtering and Spatially-Variant Adaptive Structuring Functions
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    Chapter 20 General Adaptive Neighborhood Viscous Mathematical Morphology
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    Chapter 21 Spatially-Variant Structuring Elements Inspired by the Neurogeometry of the Visual Cortex
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    Chapter 22 Towards a Parallel Topological Watershed: First Results
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    Chapter 23 Advances on Watershed Processing on GPU Architecture
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    Chapter 24 Incremental Algorithm for Hierarchical Minimum Spanning Forests and Saliency of Watershed Cuts
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    Chapter 25 Component-Hypertrees for Image Segmentation
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    Chapter 26 Fast Streaming Algorithm for 1-D Morphological Opening and Closing on 2-D Support
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    Chapter 27 Hierarchical Analysis of Remote Sensing Data: Morphological Attribute Profiles and Binary Partition Trees
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    Chapter 28 Self-dual Attribute Profiles for the Analysis of Remote Sensing Images
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    Chapter 29 Concurrent Computation of Differential Morphological Profiles on Giga-Pixel Images
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    Chapter 30 Hierarchical Segmentation of Multiresolution Remote Sensing Images
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    Chapter 31 Mathematical Morphology for Vector Images Using Statistical Depth
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    Chapter 32 Mathematical Morphology in Computer Graphics, Scientific Visualization and Visual Exploration
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    Chapter 33 Surface Reconstruction Using Power Watershed
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    Chapter 34 Voxel-Based Assessment of Printability of 3D Shapes
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    Chapter 35 A Comparison of Two Tree Representations for Data-Driven Volumetric Image Filtering
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    Chapter 36 Optimal Path: Theory and Models for Vessel Segmentation
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    Chapter 37 Cytology Imaging Segmentation Using the Locally Constrained Watershed Transform
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    Chapter 38 Stochastic Modeling of a Glass Fiber Reinforced Polymer
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    Chapter 39 Segmentation of Cracks in Shale Rock
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    Chapter 40 Size and Spatial Distributions Characterization of Graphite Nodules Based on Connectivity by Dilations
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    Chapter 41 Topic Segmentation: Application of Mathematical Morphology to Textual Data
Attention for Chapter 10: Pattern Spectra from Partition Pyramids and Hierarchies
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Chapter title
Pattern Spectra from Partition Pyramids and Hierarchies
Chapter number 10
Book title
Mathematical Morphology and Its Applications to Image and Signal Processing
Published by
Springer Berlin Heidelberg, July 2011
DOI 10.1007/978-3-642-21569-8_10
Book ISBNs
978-3-64-221568-1, 978-3-64-221569-8, 978-3-64-221568-1, 978-3-64-221569-8
Authors

Georgios K. Ouzounis, Pierre Soille

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 22%
Unknown 7 78%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Professor 2 22%
Lecturer 1 11%
Student > Bachelor 1 11%
Researcher 1 11%
Other 1 11%
Readers by discipline Count As %
Computer Science 6 67%
Mathematics 1 11%
Agricultural and Biological Sciences 1 11%
Unknown 1 11%

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