Items related to Markov Random Field Modeling in Image Analysis (Computer...

Markov Random Field Modeling in Image Analysis (Computer Science Workbench) - Softcover

 
9784431703099: Markov Random Field Modeling in Image Analysis (Computer Science Workbench)

Synopsis

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms systematically when used with optimization principles. This book presents a comprehensive study on the use of MRFs for solving computer vision problems. The book covers the following parts essential to the subject: introduction to fundamental theories, formulations of MRF vision models, MRF parameter estimation, and optimization algorithms. Various vision models are presented in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation.This second edition includes the most important progress in Markov modeling in image analysis in recent years such as Markov modeling of images with "macro" patterns (e.g. the FRAME model), Markov chain Monte Carlo (MCMC) methods, reversible jump MCMC. This book is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses in these areas.

"synopsis" may belong to another edition of this title.

Review

From the reviews of the third edition:

"Prof. Li’s book ... provides a comprehensive introduction to the area of MRF in general and to its applications in image processing in specific. ... is very well written with a plethora of references for the reader that wants to delve further into specific areas. ... In conclusion, this book is very thorough, both in a mathematic and a descriptive manner. Anyone interested in image processing and its applications ... can benefit from the variety of provided examples and its wide range of references." (Apostolos Georgakis, IAPR Newsletter, Vol. 31 (4), October, 2009)

"This book elegantly and effectively elaborates on MRF theory and related topics. Each chapter includes the problem definition, related mathematical formulation and method explanations, and very useful examples. ... This is an excellent book on MRF theory for image analysis. Researchers and graduate students will find this book very useful for understanding the theory clearly." (Fatih Kurugollu, ACM Computing Reviews, November, 2009)

From the Back Cover

Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables systematic development of optimal vision algorithms when used with optimization principles.

This detailed and thoroughly enhanced third edition presents a comprehensive study / reference to theories, methodologies and recent developments in solving computer vision problems based on MRFs, statistics and optimization. It treats various problems in low- and high-level computational vision in a systematic and unified way within the MAP-MRF framework. Among the main issues covered are: how to use MRFs to encode contextual constraints that are indispensable to image understanding; how to derive the objective function for the optimal solution to a problem; and how to design computational algorithms for finding an optimal solution.

Easy-to-follow and coherent, the revised edition is accessible, includes the most recent advances, and has new and expanded sections on such topics as: Conditional Random Fields; Discriminative Random Fields; Total Variation (TV) Models; Spatio-temporal Models; MRF and Bayesian Network (Graphical Models); Belief Propagation; Graph Cuts; and Face Detection and Recognition. 

Features:

· Focuses on applying Markov random fields to computer vision problems, such as image restoration and edge detection in the low-level domain, and object matching and recognition in the high-level domain

· Introduces readers to the basic concepts, important models and various special classes of MRFs on the regular image lattice, and MRFs on relational graphs derived from images

· Presents various vision models in a unified framework, including image restoration and reconstruction, edge and region segmentation, texture, stereo and motion, object matching and recognition, and pose estimation

· Uses a variety of examples to illustrate how to convert a specific vision problem involving uncertainties and constraints into essentially an optimization problem under the MRF setting

· Studies discontinuities, an important issue in the application of MRFs to image analysis

· Examines the problems of model parameter estimation and function optimization in the context of texture analysis and object recognition

· Includes an extensive list of references

This broad-ranging and comprehensive volume is an excellent reference for researchers working in computer vision, image processing, statistical pattern recognition and applications of MRFs. It is also suitable as a text for advanced courses relating to these areas.

"About this title" may belong to another edition of this title.

Buy Used

Condition: Near Fine
Ancien livre de bibliothèque. Traces...
View this item

£ 6.93 shipping from France to United Kingdom

Destination, rates & speeds

Other Popular Editions of the Same Title

9784431670452: Markov Random Field Modeling in Image Analysis

Featured Edition

ISBN 10:  4431670459 ISBN 13:  9784431670452
Publisher: Springer, 2014
Softcover

Search results for Markov Random Field Modeling in Image Analysis (Computer...

Stock Image

S. Z. Li
Published by Springer Verlag, Japan, 2001
ISBN 10: 4431703098 ISBN 13: 9784431703099
Used Softcover

Seller: Ammareal, Morangis, France

Seller rating 5 out of 5 stars 5-star rating, Learn more about seller ratings

Softcover. Condition: Bon. Ancien livre de bibliothèque. Traces d'usure sur la couverture. Edition 2001. Ammareal reverse jusqu'à 15% du prix net de cet article à des organisations caritatives. ENGLISH DESCRIPTION Book Condition: Used, Good. Former library book. Signs of wear on the cover. Edition 2001. Ammareal gives back up to 15% of this item's net price to charity organizations. Seller Inventory # D-554-742

Contact seller

Buy Used

£ 19.07
Convert currency
Shipping: £ 6.93
From France to United Kingdom
Destination, rates & speeds

Quantity: 1 available

Add to basket