Stochastic geometry for image analysis /
"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...
Άλλοι συγγραφείς: | |
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Μορφή: | Ηλ. βιβλίο |
Γλώσσα: | English |
Έκδοση: |
London :
ISTE ;
2012.
Hoboken, NJ : Wiley, 2012. |
Σειρά: | Digital signal and image processing series.
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Θέματα: | |
Διαθέσιμο Online: | Full Text via HEAL-Link |
Περίληψη: | "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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Φυσική περιγραφή: | 1 online resource (x, 345 pages) : illustrations. |
Βιβλιογραφία: | Includes bibliographical references and index. |
ISBN: | 9781118601235 1118601238 9781118601327 1118601327 9781118601136 1118601130 |
DOI: | 10.1002/9781118601235 |