Markov Random Field Modeling in Image Analysis PDF
By:Stan Z. Li
Published on 2009-04-03 by Springer Science & Business Media
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. 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 third edition includes the most recent advances and has new and expanded sections on topics such as: Bayesian Network; Discriminative Random Fields; Strong Random Fields; Spatial-Temporal Models; Learning MRF for Classification. 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.
This Book was ranked at 25 by Google Books for keyword medical imaging computer science.
Book ID of Markov Random Field Modeling in Image Analysis's Books is rDsObhDkCIAC, Book which was written byStan Z. Lihave ETAG "TeiqXEGhpRQ"
Book which was published by Springer Science & Business Media since 2009-04-03 have ISBNs, ISBN 13 Code is 9781848002791 and ISBN 10 Code is 1848002793
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Book which have "362 Pages" is Printed at BOOK under CategoryComputers
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