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Principles of Digital Image Processing

Advanced Methods

  • Textbook
  • © 2013

Overview

Authors:
  1. Wilhelm Burger

    1. Informatics/Communications/Media, Upper Austria Univ. of Applied Sciences, Hagenberg, Austria

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    You can also search for this author in PubMed   Google Scholar

  2. Mark J. Burge

    1. The Capital Gallery Building, Noblis, Washington, D.C., USA

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    You can also search for this author in PubMed   Google Scholar

  • Presents advanced material in a practical and easily accessible manner without compromising on formal aspects
  • Combines theory and implementation in a coherent and highly transparent manner
  • Explains the applicability and performance of methods on illustrative examples and real images

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

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Table of contents (7 chapters)

  1. Front Matter

    Pages i-xiii
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  2. Introduction

    • Wilhelm Burger, Mark J. Burge
    Pages 1-3

  3. Automatic Thresholding

    • Wilhelm Burger, Mark J. Burge
    Pages 5-50

  4. Filters for Color Images

    • Wilhelm Burger, Mark J. Burge
    Pages 51-81

  5. Edge Detection in Color Images

    • Wilhelm Burger, Mark J. Burge
    Pages 83-117

  6. Edge-Preserving Smoothing Filters

    • Wilhelm Burger, Mark J. Burge
    Pages 119-167

  7. Fourier Shape Descriptors

    • Wilhelm Burger, Mark J. Burge
    Pages 169-227

  8. SIFT—Scale-Invariant Local Features

    • Wilhelm Burger, Mark J. Burge
    Pages 229-296

  9. Back Matter

    Pages 297-369
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Keywords

About this book

This textbook is the third of three volumes which provide a modern, algorithmic introduction to digital image processing, designed to be used both by learners desiring a firm foundation on which to build, and practitioners in search of critical analysis and concrete implementations of the most important techniques. This volume builds upon the introductory material presented in the first two volumes with additional key concepts and methods in image processing. Features: practical examples and carefully constructed chapter-ending exercises; real implementations, concise mathematical notation, and precise algorithmic descriptions designed for programmers and practitioners; easily adaptable Java code and completely worked-out examples for easy inclusion in existing applications; uses ImageJ; provides a supplementary website with the complete Java source code, test images, and corrections; additional presentation tools for instructors including a complete set of figures, tables, and mathematical elements.

Reviews

From the reviews:

“The book is well written. The English is clear. The background for the algorithms are clearly explained. … This book does a good job of describing the advanced topics. The narrative discusses the implementation of the algorithms. The topics are deliberately described with the goal of explaining the material to an advanced level reader … . it has many good elements and is worth considering for reference or for a course.” (Elisa H. Barney Smith, IAPR Newsletter, Vol. 36 (2), April, 2014)

Authors and Affiliations

  • Informatics/Communications/Media, Upper Austria Univ. of Applied Sciences, Hagenberg, Austria

    Wilhelm Burger

  • The Capital Gallery Building, Noblis, Washington, D.C., USA

    Mark J. Burge

Bibliographic Information

  • Book Title: Principles of Digital Image Processing

  • Book Subtitle: Advanced Methods

  • Authors: Wilhelm Burger, Mark J. Burge

  • Series Title: Undergraduate Topics in Computer Science

  • DOI: https://doi.org/10.1007/978-1-84882-919-0

  • Publisher: Springer London

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: Springer-Verlag London 2013

  • Softcover ISBN: 978-1-84882-918-3Published: 22 May 2013

  • eBook ISBN: 978-1-84882-919-0Published: 18 November 2013

  • Series ISSN: 1863-7310

  • Series E-ISSN: 2197-1781

  • Edition Number: 1

  • Number of Pages: XIII, 369

  • Number of Illustrations: 19 b/w illustrations, 112 illustrations in colour

  • Topics: Image Processing and Computer Vision

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