Feature extraction and image processing / Mark S. Nixon, Alberto S. Aguado.

Format:

Book

Author/Creator:

Nixon, Mark S.

Contributor:

Aguado, Alberto S.

Language:

English

Subjects (All):

Image processing.

Optical data processing.

Physical Description:

1 online resource (363 p.)

Edition:

1st edition

Place of Publication:

Oxford : Newnes, 2002.

Language Note:

English

System Details:

text file

Summary:

Focusing on feature extraction while also covering issues and techniques such as image acquisition, sampling theory, point operations and low-level feature extraction, the authors have a clear and coherent approach that will appeal to a wide range of students and professionals.*Ideal module text for courses in artificial intelligence, image processing and computer vision*Essential reading for engineers and academics working in this cutting-edge field*Supported by free software on a companion website

Contents:

Cover; Contents; Preface; Chapter 1. Introduction; 1.1 Overview; 1.2 Human and computer vision; 1.3 The human vision system; 1.4 Computer vision systems; 1.5 Mathematical systems; 1.6 Associated literature; 1.7 References; Chapter 2. Images, sampling and frequency domain processing; 2.1 Overview; 2.2 Image formation; 2.3 The Fourier transform; 2.4 The sampling criterion; 2.5 The discrete Fourier transform (DFT); 2.6 Other properties of the Fourier transform; 2.7 Transforms other than Fourier; 2.8 Applications using frequency domain properties; 2.9 Further reading; 2.10 References

Chapter 3. Basic image processing operations3.1 Overview; 3.2 Histograms; 3.3 Point operators; 3.4 Group operations; 3.5 Other statistical operators; 3.6 Further reading; 3.7 References; Chapter 4. Low-level feature extraction (including edge detection); 4.1 Overview; 4.2 First-order edge detection operators; 4.3 Second-order edge detection operators; 4.4 Other edge detection operators; 4.5 Comparison of edge detection operators; 4.6 Detecting image curvature; 4.7 Describing image motion; 4.8 Further reading; 4.9 References; Chapter 5. Feature extraction by shape matching; 5.1 Overview

5.2 Thresholding and subtraction5.3 Template matching; 5.4 Hough transform (HT); 5.5 Generalised Hough transform (GHT); 5.6 Other extensions to the HT; 5.7 Further reading; 5.8 References; Chapter 6. Flexible shape extraction (snakes and other techniques); 6.1 Overview; 6.2 Deformable templates; 6.3 Active contours (snakes); 6.4 Discrete symmetry operator; 6.5 Flexible shape models; 6.6 Further reading; 6.7 References; Chapter 7. Object description; 7.1 Overview; 7.2 Boundary descriptions; 7.3 Region descriptors; 7.4 Further reading; 7.5 References

Chapter 8. Introduction to texture description, segmentation and classification8.1 Overview; 8.2 What is texture; 8.3 Texture description; 8.4 Classification; 8.5 Segmentation; 8.6 Further reading; 8.7 References; Chapter 9. Appendices; 9.1 Appendix 1: Homogeneous co-ordinate system; 9.2 Appendix 2: Least squares analysis; 9.3 Appendix 3: Example Mathcad worksheet for Chapter 3; 9.4 Appendix 4: Abbreviated Matlab worksheet; Index

Notes:

Description based upon print version of record.

Includes bibliographical references and index.

ISBN:

9786611022013

9781281022011

1281022012

9780080506258

0080506259

OCLC:

476072773