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Applications of Discrete Geometry and Mathematical Morphology : First International Workshop, WADGMM 2010, Istanbul, Turkey, August 22, 2010, Revised Selected Papers

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Cover of 'Applications of Discrete Geometry and Mathematical Morphology : First International Workshop, WADGMM 2010, Istanbul, Turkey, August 22, 2010, Revised Selected Papers'

Table of Contents

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    Book Overview
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    Chapter 1 Connect the Dots: The Reconstruction of Region Boundaries from Contour Sampling Points
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    Chapter 2 Digital Shape Analysis with Maximal Segments
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    Chapter 3 Discrete Curvature Estimation Methods for Triangulated Surfaces
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    Chapter 4 On Morphological Hierarchical Representations for Image Processing and Spatial Data Clustering
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    Chapter 5 Radial Moment Invariants for Attribute Filtering in 3D
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    Chapter 6 Volumetric Analysis of Digital Objects Using Distance Transformation: Performance Issues and Extensions
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    Chapter 7 Geometric Analysis of 3D Electron Microscopy Data
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    Chapter 8 Machine Learning as a Preprocessing Phase in Discrete Tomography
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    Chapter 9 Fast Planarity Estimation and Region Growing on GPU
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    Chapter 10 Writing Reusable Digital Topology Algorithms in a Generic Image Processing Framework
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    Chapter 11 A New Image-Mining Technique for Automation of Parkinson’s Disease Research
Attention for Chapter 2: Digital Shape Analysis with Maximal Segments
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3 Mendeley
Summary
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Chapter title
Digital Shape Analysis with Maximal Segments
Chapter number 2
Book title
Applications of Discrete Geometry and Mathematical Morphology
Published by
Springer, Berlin, Heidelberg, January 2012
DOI 10.1007/978-3-642-32313-3_2
Book ISBNs
978-3-64-232312-6, 978-3-64-232313-3
Authors

Jacques-Olivier Lachaud

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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 %
France 1 33%
Unknown 2 67%

Demographic breakdown

Readers by professional status Count As %
Professor 1 33%
Professor > Associate Professor 1 33%
Student > Master 1 33%
Readers by discipline Count As %
Computer Science 3 100%

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