Stochastic Geometry for Image Analysis

. Ed(s): Descombes, Xavier

ISBN 10: 1848212402 / ISBN 13: 9781848212404

Editore: ISTE Ltd and John Wiley & Sons Inc, 2011

Riguardo questo articolo

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. Editor(s): Descombes, Xavier. Num Pages: 356 pages, Illustrations. BIC Classification: TJ. Category: (P) Professional & Vocational. Dimension: 235 x 163 x 25. Weight in Grams: 684. . 2011. . . . . Books ship from the US and Ireland.

Codice articolo V9781848212404

Dati bibliografici

• Titolo: Stochastic Geometry for Image Analysis
• Editore: ISTE Ltd and John Wiley & Sons Inc
• Data di pubblicazione: 2011
• Lingua: Inglese
• ISBN 10: 1848212402
• ISBN 13: 9781848212404
• Rilegatura: Rilegato
• Condizione: New

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

Xavier Descombes, Director of Research INRIA, EPI Ariana