Stochastic Geometry for Image Analysis

Author:   Xavier Descombes
Publisher:   ISTE Ltd and John Wiley & Sons Inc
ISBN:  

9781848212404


Pages:   384
Publication Date:   25 November 2011
Format:   Hardback
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

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Stochastic Geometry for Image Analysis


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Full Product Details

Author:   Xavier Descombes
Publisher:   ISTE Ltd and John Wiley & Sons Inc
Imprint:   ISTE Ltd and John Wiley & Sons Inc
Dimensions:   Width: 16.30cm , Height: 2.60cm , Length: 24.00cm
Weight:   0.671kg
ISBN:  

9781848212404


ISBN 10:   1848212402
Pages:   384
Publication Date:   25 November 2011
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Out of stock   Availability explained
The supplier is temporarily out of stock of this item. It will be ordered for you on backorder and shipped when it becomes available.

Table of Contents

Chapter 1. Introduction 1 X. DESCOMBES Chapter 2. Marked Point Processes for Object Detection 11 X. DESCOMBES 2.1. Principal definitions 11 2.2. Density of a point process 15 2.3. Marked point processes 21 2.4. Point processes and image analysis 22 Chapter 3. Random Sets for Texture Analysis 29 C. LANTUÉJOUL and M. SCHMITT 3.1. Introduction 29 3.2. Random sets 33 3.3. Some geostatistical aspects 42 3.4. Some morphological aspects 51 3.5. Appendix: demonstration of Miles’ formulae for the Boolean model 61 Chapter 4. Simulation and Optimization 65 F. LAFARGE, X. DESCOMBES, E. ZHIZHINA and R. MINLOS 4.1. Discrete simulations: Markov chain Monte Carlo algorithms 66 4.2. Continuous simulations 91 4.3. Mixed simulations 105 4.4. Simulated annealing 106 Chapter 5. Parametric Inference for Marked Point Processes in Image Analysis 113 R. STOICA, F. CHATELAIN and M. SIGELLE 5.1. Introduction 113 5.2. First question: what and where are the objects in the image? 117 5.3. Second question: what are the parameters of the point process that models the objects observed in the image? 129 5.4. Conclusion and perspectives 158 5.5. Acknowledgments 159 Chapter 6. How to Set Up a Point Process? 161 X. DESCOMBES 6.1. From disks to polygons, via a discussion of segments 162 6.2. From no overlap to alignment 167 6.3. From the likelihood to a hypothesis test 172 6.4. From Metropolis–Hastings to multiple births and deaths 176 Chapter 7. Population Counting 179 X. DESCOMBES 7.1. Detection of Virchow–Robin spaces 180 7.2. Evaluation of forestry resources 192 7.3. Counting a population of flamingos 207 7.4. Counting the boats at a port 229 Chapter 8. Structure Extraction 249 F. LAFARGE and X. DESCOMBES 8.1. Detection of the road network 250 8.2. Extraction of building footprints 262 8.3. Representation of natural textures 269 Chapter 9. Shape Recognition 287 F. LAFARGE and C. MALLET 9.1. Modeling of a LIDAR signal 287 9.2. 3D reconstruction of buildings 308 Bibliography 325 List of Authors 341 Index 343

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Xavier Descombes, Director of Research INRIA, EPI Ariana

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