Chapter: 13 Applications of Stochastic Geometry in Image Analysis

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Home > New Perspectives in Stochastic Geometry > 13 Applications of Stochastic Geometry in Image Analysis

New Perspectives in Stochastic Geometry |

Wilfrid S. Kendall; Ilya Molchanov

Oxford University Press

13 Applications of Stochastic Geometry in Image Analysis

Chapter Info

Authors

Marie‐Colette N.M. van Lieshout

ARI Id

1667686280555_16176648

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Not Available Free

Chapter URL

https://academic.oup.com/book/26196/chapter/194350211

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Chapters/Headings	Author(s)	Pages	Info
Front Matter
Copyright Page
Dedication
Preface
Acknowledgements
List of Contributors
1 Classical Stochastic Geometry	Rolf Schneider; Wolfgang Weil
2 Random Polytopes	Matthias Reitzner
3 Modern Random Measures: Palm Theory and Related Models	Last Günter
4 Limit Theorems in Stochastic Geometry	Tomasz Schreiber
5 Tessellations	Pierre Calka
6 Percolation and Random Graphs	Remco van der Hofstad
7 Random Directed and on‐Line Networks	Mathew D. Penrose; Andrew R. Wade
8 Random Fractals	Peter Mörters
9 Inference	Jesper Møller
10 Statistical Shape Theory	Wilfrid S. Kendall; Huiling Le
11 Set Estimation	Antonio Cuevas; Ricardo Fraiman
12 Data Depth: Multivariate Statistics and Geometry	Cascos Ignacio
13 Applications of Stochastic Geometry in Image Analysis	Marie‐Colette N.M. van Lieshout
14 Stereology	Werner Nagel
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