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© 2016

Digital Image Processing

An Algorithmic Introduction Using Java

Part of the Texts in Computer Science book series (TCS)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Wilhelm Burger, Mark J. Burge
    Pages 1-21
  3. Wilhelm Burger, Mark J. Burge
    Pages 23-35
  4. Wilhelm Burger, Mark J. Burge
    Pages 37-56
  5. Wilhelm Burger, Mark J. Burge
    Pages 57-88
  6. Wilhelm Burger, Mark J. Burge
    Pages 89-119
  7. Wilhelm Burger, Mark J. Burge
    Pages 121-146
  8. Wilhelm Burger, Mark J. Burge
    Pages 147-159
  9. Wilhelm Burger, Mark J. Burge
    Pages 161-180
  10. Wilhelm Burger, Mark J. Burge
    Pages 181-208
  11. Wilhelm Burger, Mark J. Burge
    Pages 209-252
  12. Wilhelm Burger, Mark J. Burge
    Pages 253-289
  13. Wilhelm Burger, Mark J. Burge
    Pages 291-328
  14. Wilhelm Burger, Mark J. Burge
    Pages 329-339
  15. Wilhelm Burger, Mark J. Burge
    Pages 341-365
  16. Wilhelm Burger, Mark J. Burge
    Pages 367-389
  17. Wilhelm Burger, Mark J. Burge
    Pages 391-411
  18. Wilhelm Burger, Mark J. Burge
    Pages 413-451
  19. Wilhelm Burger, Mark J. Burge
    Pages 453-479
  20. Wilhelm Burger, Mark J. Burge
    Pages 481-501

About this book

Introduction

This modern, self-contained textbook provides an accessible introduction to the field from the perspective of a practicing programmer, supporting a detailed presentation of the fundamental concepts and techniques with practical exercises and fully worked out implementation examples. This much-anticipated new edition of the definitive textbook on Digital Image Processing has been completely revised and expanded with new content and improved teaching material.

Topics and features:

  • Contains new chapters on automatic thresholding, filters and edge detection for color images, edge-preserving smoothing filters, non-rigid image matching, and Fourier shape descriptors.
  • Includes exercises at the end of every chapter, and provides additional supplementary material at an associated website.
  • Uses ImageJ for all examples, a widely used open source imaging system that can run on all major platforms and be easily ported to other programming languages.
  • Describes each solution in a stepwise manner in mathematical form, as abstract pseudocode algorithms, and as complete Java programs.
  • Presents suggested outlines for a one- or two-semester course in the preface.

Advanced undergraduate and graduate students will find this comprehensive and example-rich textbook will serve as the ideal introduction to digital image processing. It will also prove invaluable to researchers and professionals seeking a practically focused self-study primer.


Keywords

Digital Image Processing Discrete Fourier Transform GSM - Postponed Project Image Processing Image Processing System ImageJ Java Medical Imaging

Authors and affiliations

  1. 1.Sch of Info/CommunicationUpper Austria Univ of Applied SciHagenbergAustria
  2. 2.Noblis, Inc.WashingtonUSA

About the authors

Dr. Wilhelm Burger is a faculty member of the University of Applied Sciences Upper Austria, Hagenberg, where he serves as Director of the Digital Media degree programs at the School of Informatics, Communications and Media.

Dr. Mark J. Burge is a scientist at the non-profit organization Noblis in Falls Church, VA, USA. His other publications include the Handbook of Iris Recognition.

Bibliographic information

Reviews

“This textbook is an excellent introduction to the fundamentals of digital image processing. It thoroughly blends basic theory and practical algorithms expressed in Java and Image. It also provides a set of accessible exercises at the end of each chapter. It is suitable as a two-semester textbook for third-year undergraduates.” (B. Belkhouche, Computing Reviews, November, 2016)