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Principles of Digital Image Processing

Core Algorithms

  • Textbook
  • © 2009

Overview

Authors:
  1. Wilhelm Burger

    1. Abt. Digitale Medien, FH Oberösterreich, Hagenberg, Austria

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    You can also search for this author in PubMed   Google Scholar

  2. Mark James Burge

    1. Falls Church, U.S.A.

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • Presents a critical selection of algorithms, illustrated explanations and concise mathematical derivations, for readers to gain a deeper understanding of the topic
  • Encourages the reader to actively construct and experiment with the algorithms to develop their knowledge about how to use these methods in the real world
  • Includes supplementary material: sn.pub/extras

Part of the book series: Undergraduate Topics in Computer Science (UTICS)

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Table of contents (11 chapters)

  1. Front Matter

    Pages 1-12
    Download chapter PDF

  2. Introduction

    • Wilhelm Burger, Mark James Burge
    Pages 1-4

  3. Regions in Binary Images

    • Wilhelm Burger, Mark James Burge
    Pages 1-44

  4. Detecting Simple Curves

    • Wilhelm Burger, Mark James Burge
    Pages 1-19

  5. Corner Detection

    • Wilhelm Burger, Mark James Burge
    Pages 1-16

  6. Color Quantization

    • Wilhelm Burger, Mark James Burge
    Pages 1-11

  7. Colorimetric Color Spaces

    • Wilhelm Burger, Mark James Burge
    Pages 1-28

  8. Introduction to Spectral Techniques

    • Wilhelm Burger, Mark James Burge
    Pages 1-32

  9. The Discrete Fourier Transform in 2D

    • Wilhelm Burger, Mark James Burge
    Pages 1-26

  10. The Discrete Cosine Transform DCT

    • Wilhelm Burger, Mark James Burge
    Pages 1-8

  11. Geometric Operations

    • Wilhelm Burger, Mark James Burge
    Pages 1-64

  12. Comparing Images

    • Wilhelm Burger, Mark James Burge
    Pages 1-24

  13. Back Matter

    Pages 1-48
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Keywords

About this book

This is the second volume of a book series that provides a modern, algori- mic introduction to digital image processing. It is designed to be used both by learners desiring a ?rm foundation on which to build and practitioners in search of critical analysis and modern implementations of the most important techniques. This updated and enhanced paperback edition of our compreh- sive textbook Digital Image Processing: An Algorithmic Approach Using Java packages the original material into a series of compact volumes, thereby s- porting a ?exible sequence of courses in digital image processing. Tailoring the contents to the scope of individual semester courses is also an attempt to p- vide a?ordable (and “backpack-compatible”) textbooks without comprimising the quality and depth of content. This second volume, titled Core Algorithms, extends the introductory - terial presented in the ?rst volume (Fundamental Techniques) with additional techniques that are, nevertheless, part of the standard image processing to- box. A forthcomingthird volume(Advanced Techniques) will extendthis series and add important material beyond the elementary level, suitable for an - vanced undergraduate or even graduate course.

Reviews

From the reviews:

"This text is the second of three volumes by Burger and Burge to provide an algorithmic introduction to digital image processing. … This textbook is for academicians who want a mathematical or theoretical foundation that underlies the methods used, as well as for engineers who are interested in practical implementations of the most important algorithms. The volume is a very nice extension to the material and a worthwhile read." (Minette Carl, ACM Computing Reviews, August, 2009)

“This is the second textbook from authors three-book series for graduate and post-graduate courses covering digital image processing techniques; earlier the material appeared in one comprehensive volume Digital Image Processing: An Algorithmic Introduction using Java. This volume covers regions in binary images, curve and corner detecting, color spaces and quantization, transformations … and comparing/matching of images. The presentation is very algorithmic and expects hands-on experimentation with presented notions and algorithms, every chapter ends with exercises … .” (Jaak Henno, Zentralblatt MATH, Vol. 1185, 2010)

Authors and Affiliations

  • Abt. Digitale Medien, FH Oberösterreich, Hagenberg, Austria

    Wilhelm Burger

  • Falls Church, U.S.A.

    Mark James Burge

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