Research Catalog
Stochastic geometry for image analysis /
- Title
- Stochastic geometry for image analysis / edited by Xavier Descombes.
- Publication
- London : ISTE ; Hoboken, NJ : Wiley, 2012.
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| Status | Format | Access | Call Number | Item Location |
|---|---|---|---|---|
Not available - Please for assistance. | Text | Use in library | TA1637 .S76 2012 | Off-site |
Details
- Additional Authors
- Descombes, Xavier.
- Description
- x, 345 p. : ill.; 24 cm.
- 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"--
- Series Statement
- Digital signal and image processing series
- Uniform Title
- Digital signal and image processing series.
- Subjects
- Bibliography (note)
- Includes bibliographical references and index.
- ISBN
- 9781848212404 (hardback)
- 1848212402 (hardback)
- LCCN
- 2011036864
- Owning Institutions
- Princeton University Library