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Digital Image Processing 4th Edition.pdf

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    GLOBAL EDITION GLOBAL EDITION For these Global Editions, the editorial team at Pearson has collaborated with educators across the world to address a wide range of subjects and requirements, equipping students with the best possible learning tools. This Global Edition preserves the cutting-edge approach and pedagogy of the original, but also features alterations, customization, and adaptation from the North American version. D i g i t a l I m a g e P r o c e s s i n g Digital Image Processing FOURTH EDITION Rafael C. Gonzalez • Richard E. Woods This is a special edition of an established title widely used by colleges and universities throughout the world. Pearson published this exclusive edition for the benefit of students outside the United States and Canada. If you purchased this book within the United States or Canada, you should be aware that it has been imported without the approval of the Publisher or Author. The Global Edition is not supported in the United States and Canada. Pearson Global Edition I E D T O N I F O U R T H W o o d s G o n z a l e z I E D T O N G L O B A L I Gonzalez_04_1292223049_Final.indd 1 11/08/17 5:27 PM
    Support Package for Digital Image Processing Your new textbook provides access to support packages that may include reviews in areas like probability and vectors, tutorials on topics relevant to the material in the book, an image database, and more. Refer to the Preface in the textbook for a detailed list of resources. Follow the instructions below to register for the Companion Website for Rafael C. Gonzalez and Richard E. Woods’ Digital Image Processing, Fourth Edition, Global Edition. 1. Go to www.ImageProcessingPlace.com 2. Find the title of your textbook. 3. Click Support Materials and follow the on-screen instructions to create a login name and password. Use the login name and password you created during registration to start using the digital resources that accompany your textbook. This serial code can only be used once. This subscription is not transferrable. IMPORTANT: Gonzalez_04_1292223049_ifc_Final.indd 1 11/08/17 5:33 PM
    D igital Image Processing 4 Global Edition F O U R T H E D I T I O N Rafael C. Gonzalez University of Tennessee Richard E. Woods Interapptics 330 Hudson Street, New York, NY 10013 DIP4E_GLOBAL_Print_Ready.indb 1 7/6/2017 10:55:08 AM
    Senior Vice President Courseware Portfolio Management: Marcia J. Horton Director, Portfolio Management: Engineering, Computer Science & Global Editions: Julian Partridge Portfolio Manager: Julie Bai Field Marketing Manager: Demetrius Hall Product Marketing Manager: Yvonne Vannatta Marketing Assistant: Jon Bryant Content Managing Producer, ECS and Math: Scott Disanno Content Producer: Michelle Bayman Project Manager: Rose Kernan Assistant Project Editor, Global Editions: Vikash Tiwari Operations Specialist: Maura Zaldivar-Garcia Manager, Rights and Permissions: Ben Ferrini Senior Manufacturing Controller, Global Editions: Trudy Kimber Media Production Manager, Global Editions: Vikram Kumar Cover Designer: Lumina Datamatics Cover Photo: CT image—© zhuravliki.123rf.com/Pearson Asset Library; Gram-negative bacteria—© royaltystockphoto.com/ Shutterstock.com; Orion Nebula—© creativemarc/Shutterstock.com; Fingerprints—© Larysa Ray/Shutterstock.com; Cancer cells—© Greenshoots Communications/Alamy Stock Photo MATLAB is a registered trademark of The MathWorks, Inc., 1 Apple Hill Drive, Natick, MA 01760-2098. Pearson Education Limited Edinburgh Gate Harlow Essex CM20 2JE England and Associated Companies throughout the world Visit us on the World Wide Web at: www.pearsonglobaleditions.com © Pearson Education Limited 2018 The rights of Rafael C. Gonzalez and Richard E. Woods to be identified as the authors of this work have been asserted by them in accordance with the Copyright, Designs and Patents Act 1988. Authorized adaptation from the United States edition, entitled Digital Image Processing, Fourth Edition, ISBN 978-0-13-335672-4, by Rafael C. Gonzalez and Richard E. Woods, published by Pearson Education © 2018. All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means, electronic, mechanical, photocopying, recording or otherwise, without either the prior written permission of the pub- lisher or a license permitting restricted copying in the United Kingdom issued by the Copyright Licensing Agency Ltd, Saffron House, 6–10 Kirby Street, London EC1N 8TS. All trademarks used herein are the property of their respective owners. The use of any trademark in this text does not vest in the author or publisher any trademark ownership rights in such trademarks, nor does the use of such trademarks imply any affiliation with or endorsement of this book by such owners. British Library Cataloguing-in-Publication Data A catalogue record for this book is available from the British Library 10 9 8 7 6 5 4 3 2 1 ISBN 10: 1-292-22304-9 ISBN 13: 978-1-292-22304-9 Typeset by Richard E. Woods Printed and bound in Malaysia DIP4E_GLOBAL_Print_Ready.indb 2 7/6/2017 10:55:08 AM
    To Connie, Ralph, and Rob and To Janice, David, and Jonathan DIP4E_GLOBAL_Print_Ready.indb 3 6/16/2017 2:01:57 PM
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    Contents 9 Preface Acknowledgments The Book Website The DIP4E Support Packages About the Authors 12 13 1 Introduction 14 17 13 What is Digital Image Processing? 18 The Origins of Digital Image Processing Examples of Fields that Use Digital Image Processing Fundamental Steps in Digital Image Processing 41 Components of an Image Processing System 19 44 23 2 Digital Image Fundamentals 47 48 Elements of Visual Perception Light and the Electromagnetic Spectrum Image Sensing and Acquisition Image Sampling and Quantization Some Basic Relationships Between Pixels Introduction to the Basic Mathematical Tools Used in Digital Image Processing 83 54 57 63 79 3 Intensity Transformations and Spatial 120 119 Filtering Background Some Basic Intensity Transformation Functions Histogram Processing Fundamentals of Spatial Filtering Smoothing (Lowpass) Spatial Filters Sharpening (Highpass) Spatial Filters Highpass, Bandreject, and Bandpass Filters from Lowpass Filters Combining Spatial Enhancement Methods 164 175 122 133 153 191 188 DIP4E_GLOBAL_Print_Ready.indb 5 6/16/2017 2:01:57 PM
    6 Contents 4 Filtering in the Frequency 204 215 207 203 Domain Background Preliminary Concepts Sampling and the Fourier Transform of Sampled Functions The Discrete Fourier Transform of One Variable Extensions to Functions of Two Variables 230 Some Properties of the 2-D DFT and IDFT 240 The Basics of Filtering in the Frequency Domain 260 Image Smoothing Using Lowpass Frequency Domain Filters Image Sharpening Using Highpass Filters Selective Filtering The Fast Fourier Transform 272 284 296 303 225 318 317 5 Image Restoration and Reconstruction A Model of the Image Degradation/Restoration process 318 Noise Models Restoration in the Presence of Noise Only—Spatial Filtering Periodic Noise Reduction Using Frequency Domain Filtering Linear, Position-Invariant Degradations Estimating the Degradation Function Inverse Filtering Minimum Mean Square Error (Wiener) Filtering Constrained Least Squares Filtering Geometric Mean Filter Image Reconstruction from Projections 348 352 356 358 363 367 6 Color Image Processing 368 399 327 340 400 Color Fundamentals Color Models 405 Pseudocolor Image Processing 420 Basics of Full-Color Image Processing Color Transformations 430 429 DIP4E_GLOBAL_Print_Ready.indb 6 6/16/2017 2:01:57 PM
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