Stochastic Geometry for Image Analysis (Hardcover)

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.

本書針對影像分析目的發展了隨機幾何框架。主要介紹了兩個框架：標記點過程和隨機閉集模型。我們探討了定義適當模型的主要問題。回顧了取樣和優化模型以及估計參數的算法。詳細介紹了遙感影像、生物和醫學影像等眾多應用。本書提供了開發基於現代隨機建模的影像分析應用所需的所有工具。