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Stochastic Geometry for Image Analysis by Xavier Descombes is a engineering available to read on EtoBox.
What is Stochastic Geometry for Image Analysis about?
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 imag
Who reads Stochastic Geometry for Image Analysis?
It is typically read by working professionals who need an authoritative practice reference.
Common subject areas: medicine, law, business, engineering.
- Author
- Xavier Descombes
- Publisher
- Wiley-ISTE
- Published
- 2012
- Language
- EN
- ISBN
- 9781848212404
- Category
- engineering
- Subjects
- Engineering, Computer Science, Technology & Engineering
- Updated
- 2026-03-25
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