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文档介绍

文档介绍:Bayesian Approach to
Image Interpretation
THE KLUWER INTERNATIONAL SERIES
IN ENGINEERING PUTER SCIENCE
BAYESIAN APPROACH TO
IMAGE INTERPRETATION
SUNIL K. KOPPARAPU
Research and Development Group
Aquila Technologies Private Limited
Bangalore - 560 068.
India
kopparapu @
UDAY B. DESAI
SPANN Lab.
Department of Electrical Engineerin
Indian Institute of Technology - Bombay
Powai, Mumbai 400 076.
India
ubdesai @ ..in
Kluwer Academic Publishers
New York/Boston/Dordrecht/London/Moscow
eBook ISBN: 0-306-46996-0
Print ISBN: 0-792-37372-3
©2002 Kluwer Academic Publishers
New York, Boston, Dordrecht, London, Moscow
Print ©2000 Kluwer Academic / Plenum Publishers
New York
All rights reserved
No part of this eBook may be reproduced or transmitted in any form or by any means, electronic,
mechanical, recording, or otherwise, without written consent from the Publisher
Created in the United States of America
Visit Kluwer Online at:
and Kluwer's eBookstore at: http://ebooks.
Contents
List of Figures ix
List of Tables xi
Preface xiii
Acknowledgments xv
1. OVERVIEW 1
1. Introduction 1
. Scope puterVision 2
2. Image Interpretation 2
3. Literature Review 5
4. Approaches 7
5. Layout of the Monograph 9
2. BACKGROUND 11
1. Introduction 11
2. Markov Random Field Models 13
. MRF Model and Gibbs Distribution 13
. Maximum Entropy Interpretation 17
. Application: Estimating Image Attribute 18
. Posterior Distribution 19
. Detecting Discontinuities: Line Field Model 22
. Minimizing posteriori energy 23
3. Multiresolution 24
. Gaussian and Laplacian Pyramid 26
. Wavelet Pyramid 29
vi BAYESIAN APPROACH TO IMAGE INTERPRETATION
3. MRF FRAMEWORK FOR IMAGE INTERPRETATION 35
1. MRF on a Graph 35
. MRF based Formulation for Interpretation 37
. Selection of Cliques Functions 39
4. APPROACH TO INTERPRETATION 43
1. Introduction 43
2. MRF model leading to