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...
| Main Author: | |
|---|---|
| Format: | eBook |
| Language: | English |
| Published: |
London
ISTE
2012
|
| Series: | Digital signal and image processing series
|
| Subjects: | |
| Online Access: | |
| Collection: | O'Reilly - Collection details see MPG.ReNa |
| Summary: | "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"-- |
|---|---|
| Physical Description: | x, 345 pages illustrations |
| ISBN: | 1118601327 1118601238 9781118601235 9781118601136 9781118601327 |