Stochastic Geometry For Image Analysis
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Author |
: Xavier Descombes |
Publisher |
: John Wiley & Sons |
Total Pages |
: 215 |
Release |
: 2013-05-06 |
ISBN-10 |
: 9781118601136 |
ISBN-13 |
: 1118601130 |
Rating |
: 4/5 (36 Downloads) |
Synopsis Stochastic Geometry for Image Analysis by : Xavier Descombes
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.
Author |
: M. N. M. Van Lieshout |
Publisher |
: |
Total Pages |
: 172 |
Release |
: 1991 |
ISBN-10 |
: OCLC:657941478 |
ISBN-13 |
: |
Rating |
: 4/5 (78 Downloads) |
Synopsis Stochastic Geometry Models in Image Analysis and Spatial Statistics by : M. N. M. Van Lieshout
Author |
: Wilfrid S. Kendall |
Publisher |
: CRC Press |
Total Pages |
: 424 |
Release |
: 1998-10-20 |
ISBN-10 |
: 0849303966 |
ISBN-13 |
: 9780849303968 |
Rating |
: 4/5 (66 Downloads) |
Synopsis Stochastic Geometry by : Wilfrid S. Kendall
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themes o considerations of geometric sampling bias issues o tesselations o shape o random sets o image analysis o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo
Author |
: Elke Thönnes |
Publisher |
: |
Total Pages |
: 288 |
Release |
: 1998 |
ISBN-10 |
: OCLC:920972779 |
ISBN-13 |
: |
Rating |
: 4/5 (79 Downloads) |
Synopsis Perfect and Imperfect Simulations in Stochastic Geometry in Image Analysis by : Elke Thönnes
Author |
: Wilfrid S. Kendall |
Publisher |
: Routledge |
Total Pages |
: 419 |
Release |
: 2019-06-10 |
ISBN-10 |
: 9781351413725 |
ISBN-13 |
: 1351413724 |
Rating |
: 4/5 (25 Downloads) |
Synopsis Stochastic Geometry by : Wilfrid S. Kendall
Stochastic geometry involves the study of random geometric structures, and blends geometric, probabilistic, and statistical methods to provide powerful techniques for modeling and analysis. Recent developments in computational statistical analysis, particularly Markov chain Monte Carlo, have enormously extended the range of feasible applications. Stochastic Geometry: Likelihood and Computation provides a coordinated collection of chapters on important aspects of the rapidly developing field of stochastic geometry, including: o a "crash-course" introduction to key stochastic geometry themes o considerations of geometric sampling bias issues o tesselations o shape o random sets o image analysis o spectacular advances in likelihood-based inference now available to stochastic geometry through the techniques of Markov chain Monte Carlo
Author |
: Maria Nicolette Margaretha Lieshout |
Publisher |
: |
Total Pages |
: 175 |
Release |
: 1994 |
ISBN-10 |
: OCLC:1141019119 |
ISBN-13 |
: |
Rating |
: 4/5 (19 Downloads) |
Synopsis Stochastic Geometry Models in Image Analysis and Spatial Statistics by : Maria Nicolette Margaretha Lieshout
Author |
: David Coupier |
Publisher |
: Springer |
Total Pages |
: 240 |
Release |
: 2019-04-09 |
ISBN-10 |
: 9783030135478 |
ISBN-13 |
: 3030135470 |
Rating |
: 4/5 (78 Downloads) |
Synopsis Stochastic Geometry by : David Coupier
This volume offers a unique and accessible overview of the most active fields in Stochastic Geometry, up to the frontiers of recent research. Since 2014, the yearly meeting of the French research structure GDR GeoSto has been preceded by two introductory courses. This book contains five of these introductory lectures. The first chapter is a historically motivated introduction to Stochastic Geometry which relates four classical problems (the Buffon needle problem, the Bertrand paradox, the Sylvester four-point problem and the bicycle wheel problem) to current topics. The remaining chapters give an application motivated introduction to contemporary Stochastic Geometry, each one devoted to a particular branch of the subject: understanding spatial point patterns through intensity and conditional intensities; stochastic methods for image analysis; random fields and scale invariance; and the theory of Gibbs point processes. Exposing readers to a rich theory, this book will encourage further exploration of the subject and its wide applications.
Author |
: Danish Natural Science Research Council |
Publisher |
: |
Total Pages |
: 299 |
Release |
: 1996 |
ISBN-10 |
: OCLC:493385080 |
ISBN-13 |
: |
Rating |
: 4/5 (80 Downloads) |
Synopsis Stochastic Geometry, Stereology and Image Analysis by : Danish Natural Science Research Council
Author |
: Cantabrian Education Council |
Publisher |
: |
Total Pages |
: 332 |
Release |
: 1998 |
ISBN-10 |
: OCLC:493387370 |
ISBN-13 |
: |
Rating |
: 4/5 (70 Downloads) |
Synopsis Stereology, Stochastic Geometry and Image Analysis by : Cantabrian Education Council
Author |
: Agnès Desolneux |
Publisher |
: Springer Science & Business Media |
Total Pages |
: 278 |
Release |
: 2007-12-18 |
ISBN-10 |
: 9780387726359 |
ISBN-13 |
: 0387726357 |
Rating |
: 4/5 (59 Downloads) |
Synopsis From Gestalt Theory to Image Analysis by : Agnès Desolneux
This book introduces a new theory in Computer Vision yielding elementary techniques to analyze digital images. These techniques are a mathematical formalization of the Gestalt theory. From the mathematical viewpoint the closest field to it is stochastic geometry, involving basic probability and statistics, in the context of image analysis. The book is mathematically self-contained, needing only basic understanding of probability and calculus. The text includes more than 130 illustrations, and numerous examples based on specific images on which the theory is tested. Detailed exercises at the end of each chapter help the reader develop a firm understanding of the concepts imparted.