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Computational Imaging and Vision

Image Textures and Gibbs Random Fields

Authors: Gimel'farb, Georgy L.

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  • ISBN 978-94-011-4461-2
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About this book

Image analysis is one of the most challenging areas in today's computer sci­ ence, and image technologies are used in a host of applications. This book concentrates on image textures and presents novel techniques for their sim­ ulation, retrieval, and segmentation using specific Gibbs random fields with multiple pairwise interaction between signals as probabilistic image models. These models and techniques were developed mainly during the previous five years (in relation to April 1999 when these words were written). While scanning these pages you may notice that, in spite of long equa­ tions, the mathematical background is extremely simple. I have tried to avoid complex abstract constructions and give explicit physical (to be spe­ cific, "image-based") explanations to all the mathematical notions involved. Therefore it is hoped that the book can be easily read both by professionals and graduate students in computer science and electrical engineering who take an interest in image analysis and synthesis. Perhaps, mathematicians studying applications of random fields may find here some less traditional, and thus controversial, views and techniques.

Table of contents (8 chapters)

Table of contents (8 chapters)

Buy this book

eBook $79.99
price for USA in USD (gross)
  • ISBN 978-94-011-4461-2
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $99.99
price for USA in USD
  • ISBN 978-94-010-5912-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Image Textures and Gibbs Random Fields
Authors
Series Title
Computational Imaging and Vision
Series Volume
16
Copyright
1999
Publisher
Springer Netherlands
Copyright Holder
Springer Science+Business Media Dordrecht
eBook ISBN
978-94-011-4461-2
DOI
10.1007/978-94-011-4461-2
Softcover ISBN
978-94-010-5912-1
Series ISSN
1381-6446
Edition Number
1
Number of Pages
XIV, 251
Topics