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Image Analysis Random Fields And Dynamic Monte Carlo Methods


Image Analysis Random Fields And Dynamic Monte Carlo Methods
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Image Analysis Random Fields And Dynamic Monte Carlo Methods


Image Analysis Random Fields And Dynamic Monte Carlo Methods
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Author : Gerhard Winkler
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Image Analysis Random Fields And Dynamic Monte Carlo Methods written by Gerhard Winkler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.


This text is concerned with a probabilistic approach to image analysis as initiated by U. GRENANDER, D. and S. GEMAN, B.R. HUNT and many others, and developed and popularized by D. and S. GEMAN in a paper from 1984. It formally adopts the Bayesian paradigm and therefore is referred to as 'Bayesian Image Analysis'. There has been considerable and still growing interest in prior models and, in particular, in discrete Markov random field methods. Whereas image analysis is replete with ad hoc techniques, Bayesian image analysis provides a general framework encompassing various problems from imaging. Among those are such 'classical' applications like restoration, edge detection, texture discrimination, motion analysis and tomographic reconstruction. The subject is rapidly developing and in the near future is likely to deal with high-level applications like object recognition. Fascinating experiments by Y. CHOW, U. GRENANDER and D.M. KEENAN (1987), (1990) strongly support this belief.



Image Analysis Random Fields And Markov Chain Monte Carlo Methods


Image Analysis Random Fields And Markov Chain Monte Carlo Methods
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Author : Gerhard Winkler
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Image Analysis Random Fields And Markov Chain Monte Carlo Methods written by Gerhard Winkler and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Mathematics categories.


This second edition of G. Winkler's successful book on random field approaches to image analysis, related Markov Chain Monte Carlo methods, and statistical inference with emphasis on Bayesian image analysis concentrates more on general principles and models and less on details of concrete applications. Addressed to students and scientists from mathematics, statistics, physics, engineering, and computer science, it will serve as an introduction to the mathematical aspects rather than a survey. Basically no prior knowledge of mathematics or statistics is required. The second edition is in many parts completely rewritten and improved, and most figures are new. The topics of exact sampling and global optimization of likelihood functions have been added.



Markov Random Fields For Vision And Image Processing


Markov Random Fields For Vision And Image Processing
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Author : Andrew Blake
language : en
Publisher: MIT Press
Release Date : 2011-07-22

Markov Random Fields For Vision And Image Processing written by Andrew Blake and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-07-22 with Computers categories.


State-of-the-art research on MRFs, successful MRF applications, and advanced topics for future study. This volume demonstrates the power of the Markov random field (MRF) in vision, treating the MRF both as a tool for modeling image data and, utilizing recently developed algorithms, as a means of making inferences about images. These inferences concern underlying image and scene structure as well as solutions to such problems as image reconstruction, image segmentation, 3D vision, and object labeling. It offers key findings and state-of-the-art research on both algorithms and applications. After an introduction to the fundamental concepts used in MRFs, the book reviews some of the main algorithms for performing inference with MRFs; presents successful applications of MRFs, including segmentation, super-resolution, and image restoration, along with a comparison of various optimization methods; discusses advanced algorithmic topics; addresses limitations of the strong locality assumptions in the MRFs discussed in earlier chapters; and showcases applications that use MRFs in more complex ways, as components in bigger systems or with multiterm energy functions. The book will be an essential guide to current research on these powerful mathematical tools.



Data Science For Nano Image Analysis


Data Science For Nano Image Analysis
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Author : Chiwoo Park
language : en
Publisher: Springer Nature
Release Date : 2021-07-31

Data Science For Nano Image Analysis written by Chiwoo Park and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-07-31 with Business & Economics categories.


This book combines two distinctive topics: data science/image analysis and materials science. The purpose of this book is to show what type of nano material problems can be better solved by which set of data science methods. The majority of material science research is thus far carried out by domain-specific experts in material engineering, chemistry/chemical engineering, and mechanical & aerospace engineering. The book could benefit materials scientists and manufacturing engineers who were not exposed to systematic data science training while in schools, or data scientists in computer science or statistics disciplines who want to work on material image problems or contribute to materials discovery and optimization. This book provides in-depth discussions of how data science and operations research methods can help and improve nano image analysis, automating the otherwise manual and time-consuming operations for material engineering and enhancing decision making for nano material exploration. A broad set of data science methods are covered, including the representations of images, shape analysis, image pattern analysis, and analysis of streaming images, change points detection, graphical methods, and real-time dynamic modeling and object tracking. The data science methods are described in the context of nano image applications, with specific material science case studies.



Medical Image Computing And Computer Assisted Intervention Miccai 2003


Medical Image Computing And Computer Assisted Intervention Miccai 2003
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Author : Randy E. Ellis
language : en
Publisher: Springer
Release Date : 2003-11-11

Medical Image Computing And Computer Assisted Intervention Miccai 2003 written by Randy E. Ellis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-11-11 with Medical categories.


The 6th International Conference on Medical Imaging and Computer-Assisted Intervention,MICCAI2003,washeldinMontr ́ eal,Qu ́ ebec,CanadaattheF- rmont Queen Elizabeth Hotel during November 15–18, 2003. This was the ?rst time the conference had been held in Canada. The proposal to host MICCAI 2003 originated from discussions within the Ontario Consortium for Ima- guided Therapy and Surgery, a multi-institutional research consortium that was supported by the Government of Ontario through the Ontario Ministry of E- erprise, Opportunity and Innovation. The objective of the conference was to o?er clinicians and scientists a - rum within which to exchange ideas in this exciting and rapidly growing ?eld. MICCAI 2003 encompassed the state of the art in computer-assisted interv- tions, medical robotics, and medical-image processing, attracting experts from numerous multidisciplinary professions that included clinicians and surgeons, computer scientists, medical physicists, and mechanical, electrical and biome- cal engineers. The quality and quantity of submitted papers were most impressive. For MICCAI 2003 we received a record 499 full submissions and 100 short c- munications. All full submissions, of 8 pages each, were reviewed by up to 5 reviewers, and the 2-page contributions were assessed by a small subcomm- tee of the Scienti?c Review Committee. All reviews were then considered by the MICCAI 2003 Program Committee, resulting in the acceptance of 206 full papers and 25 short communications. The normal mode of presentation at MICCAI 2003 was as a poster; in addition, 49 papers were chosen for oral presentation.



Computer Vision Eccv 2006


Computer Vision Eccv 2006
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Author :
language : en
Publisher: Springer Science & Business Media
Release Date : 2006

Computer Vision Eccv 2006 written by and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006 with Computer vision categories.




Advances In Theory And Applications Of Random Sets Proceedings Of The Symposium


Advances In Theory And Applications Of Random Sets Proceedings Of The Symposium
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Author : Dominique Jeulin
language : en
Publisher: World Scientific
Release Date : 1997-01-16

Advances In Theory And Applications Of Random Sets Proceedings Of The Symposium written by Dominique Jeulin and has been published by World Scientific this book supported file pdf, txt, epub, kindle and other format this book has been release on 1997-01-16 with categories.


This volume covers topics ranging from pure and applied mathematics to pedagogical issues in mathematics. There are papers in mathematical biology, differential equations, difference equations, dynamical systems, orthogonal polynomials, topology, calculus reform, algebra, and numerical analysis. Most of the papers include new, interesting results that are at the cutting edge of the respective subjects. However, there are some papers of an expository nature.



Computer Vision And Applications


Computer Vision And Applications
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Author : Bernd Jahne
language : en
Publisher: Academic Press
Release Date : 2000-04-24

Computer Vision And Applications written by Bernd Jahne and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2000-04-24 with Computers categories.


CD-ROM contains: Searchable version of text with hyperlinks.



Advanced Image Processing Techniques For Remotely Sensed Hyperspectral Data


Advanced Image Processing Techniques For Remotely Sensed Hyperspectral Data
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Author : Pramod K. Varshney
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-03-09

Advanced Image Processing Techniques For Remotely Sensed Hyperspectral Data written by Pramod K. Varshney and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-03-09 with Science categories.


The first of its kind, this book reviews image processing tools and techniques including Independent Component Analysis, Mutual Information, Markov Random Field Models and Support Vector Machines. The book also explores a number of experimental examples based on a variety of remote sensors. The book will be useful to people involved in hyperspectral imaging research, as well as by remote-sensing data like geologists, hydrologists, environmental scientists, civil engineers and computer scientists.



Computer Analysis Of Images And Patterns


Computer Analysis Of Images And Patterns
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Author : Walter Kropatsch
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-08-14

Computer Analysis Of Images And Patterns written by Walter Kropatsch and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-08-14 with Computers categories.


The refereed proceedings of the 12th International Conference on Computer Analysis of Images and Patterns are presented in this volume. The papers cover motion detection and tracking, medical imaging, biometrics, color, curves and surfaces beyond two dimensions, reading characters, words and lines, image segmentation, shape, image registration and matching, signal decomposition and invariants, and features and classification.