Bayesian Approach to Image Interpretation

By: Sunil K. Kopparapu, Uday Desai, Uday B. Desai

Write A Review

Hardcover | 31 July 2001

At a Glance

Hardcover
148 Pages

Dimensions(cm)
24.13 x 15.88 x 1.27

Hardcover

$249.75

or 4 interest-free payments of $62.44 with

or

Ships in 5 to 7 business days

Bayesian Approach to Image Interpretation will interest anyone working in image interpretation. It is complete in itself and includes background material. This makes it useful for a novice as well as for an expert. It reviews some of the existing probabilistic methods for image interpretation and presents some new results. Additionally, there is extensive bibliography covering references in varied areas.
For a researcher in this field, the material on synergistic integration of segmentation and interpretation modules and the Bayesian approach to image interpretation will be beneficial.
For a practicing engineer, the procedure for generating knowledge base, selecting initial temperature for the simulated annealing algorithm, and some implementation issues will be valuable.
New ideas introduced in the book include:

New approach to image interpretation using synergism between the segmentation and the interpretation modules.
A new segmentation algorithm based on multiresolution analysis.
Novel use of the Bayesian networks (causal networks) for image interpretation.
Emphasis on making the interpretation approach less dependent on the knowledge base and hence more reliable by modeling the knowledge base in a probabilistic framework.

Useful in both the academic and industrial research worlds, Bayesian Approach to Image Interpretation may also be used as a textbook for a semester course in computer vision or pattern recognition.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

More in Communications Engineering & Telecommunications

Amusing Ourselves to Death : Public Discourse in the Age of Show Business - Neil Postman

$22.99

15%
OFF

Hooked

How to Build Habit-Forming Products

Hardcover

RRP $27.99

$23.75

15%
OFF

iPhone For Seniors For Dummies, 2026 Edition

iPhone for Seniors For Dummies

Paperback

RRP $49.95

$38.75

22%
OFF

Mobile Networks : Protocols and Applications - Adam Houle

$141.75

14%
OFF

Atlas of AI

Power, Politics, and the Planetary Costs of Artificial Intelligence

Paperback

RRP $26.95

$22.99

15%
OFF

iPhone For Dummies, 2026 Edition

iPhone for Dummies

Paperback

RRP $49.95

$38.75

22%
OFF

Fundamentals of Wireless Communication

Hardcover

RRP $141.95

$109.75

23%
OFF

A First Course in Digital Communications

Hardcover

RRP $139.95

$105.75

24%
OFF

Code Dependent

Living in the Shadow of AI - Shortlisted for the Women's Prize for Non-Fiction

Paperback

RRP $36.99

$28.75

22%
OFF

Constraints and Advanced Solutions for LTE-Advanced Heterogeneous Networks - Elankovan A. Sundararajan

$44.75

Empathy Machines

This American Life, Podcasting, and the Public Radio Structure of Feeling

Hardcover

RRP $180.00

$159.75

11%
OFF

Rare-Earth-Doped Fiber Lasers and Amplifiers

Optical Science and Engineering

Hardcover

RRP $546.00

$463.99

15%
OFF

Aircraft Systems

A Design and Development Guide

Hardcover

RRP $182.95

$136.75

25%
OFF

Audio Engineering

Know It All

Paperback

RRP $113.95

$98.75

13%
OFF

List of Figures	p. ix
List of Tables	p. xi
Preface	p. xiii
Acknowledgments	p. xv
Overview	p. 1
Introduction	p. 1
Scope of Computer Vision	p. 2
Image Interpretation	p. 2
Literature Review	p. 5
Approaches	p. 7
Layout of the Monograph	p. 9
Background	p. 11
Introduction	p. 11
Markov Random Field Models	p. 13
MRF Model and Gibbs Distribution	p. 13
Maximum Entropy Interpretation	p. 17
Application: Estimating Image Attribute	p. 18
Posterior Distribution	p. 19
Detecting Discontinuities: Line Field Model	p. 22
Minimizing posteriori energy	p. 23
Multiresolution	p. 24
Gaussian and Laplacian Pyramid	p. 26
Wavelet Pyramid	p. 29
Mrf Framework for Image Interpretation	p. 35
MRF on a Graph	p. 35
MRF based Formulation for Interpretation	p. 37
Selection of Cliques Functions	p. 39
Bayesian Net Approach to Interpretation	p. 43
Introduction	p. 43
MRF model leading to Bayesian Network Formulation	p. 44
Bayesian Networks and Probabilistic Inference	p. 45
Introduction	p. 46
Definition of a Bayesian Network	p. 47
Joint Probability Distribution	p. 47
Properties of Bayesian Networks	p. 48
Probability Updating in Bayesian Networks	p. 49
The Dependence Semantics of Bayesian Networks	p. 49
Different Schemes for Updating Probabilities	p. 50
Evidential Reasoning using Stochastic Simulation	p. 50
Computational Considerations in Probability Updating	p. 51
Bayesian Networks for Gibbsian Image Interpretation	p. 51
Construction of a Suitable Network	p. 52
Dependencies in the Interpretation Network	p. 53
Relaxation Scheme with Gibbsian Distributions	p. 53
Experimental Results	p. 54
Simulation on Real Images	p. 54
Obtaining the Conditionals	p. 54
Conclusions	p. 55
Joint Segmentation and Image Interpretation	p. 59
Introduction	p. 59
Image Interpretation using Integration	p. 60
The Joint Segmentation and Image Interpretation Scheme	p. 64
Image Interpretation Algorithm	p. 64
Experimental Results	p. 69
Features Used	p. 69
Road Images	p. 69
Building Image	p. 71
Computer Images	p. 72
Conclusions	p. 74
Conclusions	p. 79
Appendices	p. 81
Bayesian Reconstruction	p. 81
Proof of Hammersley-Clifford Theorem	p. 83
Justification for the General form for U (x)	p. 84
Proof of the Hammersley-Clifford Theorem	p. 86
Simulated Annealing Algorithm--Selecting T[subscript 0] in practise	p. 91
Experiments	p. 92
Custom Made Pyramids	p. 95
Proof of Theorem 4.6	p. 97
k-means clustering	p. 99
Features used in Image Interpretation	p. 101
Primary Features	p. 101
Secondary Features	p. 102
Knowledge Acquisition	p. 107
How to merge regions using the XV color editor	p. 108
Acquired Knowledge	p. 110
Knowledge Pyramid	p. 111
HMM for Clique Functions	p. 113
References	p. 115
Index	p. 123
Table of Contents provided by Syndetics. All Rights Reserved.

Bayesian Approach to Image Interpretation

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

More in Communications Engineering & Telecommunications

Amusing Ourselves to Death

Public Discourse in the Age of Show Business

Digital Minimalism

Choosing a Focused Life in a Noisy World

Hooked

How to Build Habit-Forming Products

iPhone For Seniors For Dummies, 2026 Edition

iPhone for Seniors For Dummies

Mobile Networks

Protocols and Applications

Communication Networks

Technologies and Applications

Telecommunications

A Systems Approach

Understanding Wifi Technology

Mobile Computing and Communications

Recent Advances in Compact Antennas

Modern Antenna Systems

Theory and Applications

Control Systems Engineering 8th Edition

Australia & New Zealand Edition

Atlas of AI

Power, Politics, and the Planetary Costs of Artificial Intelligence

iPhone For Dummies, 2026 Edition

iPhone for Dummies

Fundamentals of Wireless Communication

A First Course in Digital Communications

Code Dependent

Living in the Shadow of AI - Shortlisted for the Women's Prize for Non-Fiction

Constraints and Advanced Solutions for LTE-Advanced Heterogeneous Networks

Microphone

Object Lessons

Empathy Machines

This American Life, Podcasting, and the Public Radio Structure of Feeling

Empathy Machines

This American Life, Podcasting, and the Public Radio Structure of Feeling

Rare-Earth-Doped Fiber Lasers and Amplifiers

Optical Science and Engineering

Aircraft Systems

A Design and Development Guide

Audio Engineering

Know It All

This product is categorised by