Stochastic Geometry for Image Analysis
eBook - ePub

Stochastic Geometry for Image Analysis

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Stochastic Geometry for Image Analysis

About this book

This book develops the stochastic geometry framework for image analysis purpose. Two main frameworks are  described: marked point process and random closed sets models. We derive the main issues for defining an appropriate model. The algorithms for sampling and optimizing the models as well as for estimating parameters are reviewed.  Numerous applications, covering remote sensing images, biological and medical imaging, are detailed.  This book provides all the necessary tools for developing an image analysis application based on modern stochastic modeling.

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Yes, you can access Stochastic Geometry for Image Analysis by Xavier Descombes in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Electrical Engineering & Telecommunications. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Title Page
  3. Copyright
  4. Chapter 1: Introduction
  5. Chapter 2: Marked Point Processes for Object Detection
  6. Chapter 3: Random Sets for Texture Analysis
  7. Chapter 4: Simulation and Optimization
  8. Chapter 5: Parametric Inference for Marked Point Processes in Image Analysis
  9. Chapter 6: How to Set Up a Point Process?
  10. Chapter 7: Population Counting
  11. Chapter 8: Structure Extraction
  12. Chapter 9: Shape Recognition
  13. Bibliography
  14. List of Authors
  15. Index