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Introduction to Image Processing Using R

Learning by Examples

  • Book
  • © 2013

Overview

Authors:
  1. Alejandro C. Frery

    1. Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil

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    You can also search for this author in PubMed   Google Scholar

  2. Talita Perciano

    1. Departamento de Ciência da Computação, Universidade de São Paulo, São Paulo, Brazil

    View author publications

    You can also search for this author in PubMed   Google Scholar

  • This book introduces the statistical software R in an intuitive and practical manner
  • Presents and explains both the theory and practice of R code concepts and techniques
  • Encourages the reader to try their own implementations to develop faster, optimized programs
  • Includes supplementary material: sn.pub/extras

Part of the book series: SpringerBriefs in Computer Science (BRIEFSCOMPUTER)

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Table of contents (6 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Definitions and Notation

    • Alejandro C. Frery, Talita Perciano
    Pages 1-20

  3. Image Data Formats and Color Representation

    • Alejandro C. Frery, Talita Perciano
    Pages 21-29

  4. Reading and Writing Images with R: Generating High Quality Output

    • Alejandro C. Frery, Talita Perciano
    Pages 31-41

  5. Contrast Manipulation

    • Alejandro C. Frery, Talita Perciano
    Pages 43-57

  6. Filters in the Image Domain

    • Alejandro C. Frery, Talita Perciano
    Pages 59-75

  7. Contrast Enhancement and Dimensionality Reduction by Principal Components

    • Alejandro C. Frery, Talita Perciano
    Pages 77-84

  8. Back Matter

    Pages 85-87
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Keywords

About this book

This book introduces the statistical software R to the image processing community in an intuitive and practical manner. R brings interesting statistical and graphical tools which are important and necessary for image processing techniques. Furthermore, it has been proved in the literature that R is among the most reliable, accurate and portable statistical software available. Both the theory and practice of R code concepts and techniques are presented and explained, and the reader is encouraged to try their own implementation to develop faster, optimized programs. Those who are new to the field of image processing and to R software will find this work a useful introduction. By reading the book alongside an active R session, the reader will experience an exciting journey of learning and programming.

Reviews

From the reviews:

“This book addresses the basic use of R for image processing … . The index is well designed and the presentation of the subject is adequate, given the short length of the chapters. Both professionals and students in image processing or statistical data analysis could use this book as a good guide to using R for image processing.” (G. Albeanu, Computing Reviews, July, 2013)

Authors and Affiliations

  • Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil

    Alejandro C. Frery

  • Departamento de Ciência da Computação, Universidade de São Paulo, São Paulo, Brazil

    Talita Perciano

Bibliographic Information

  • Book Title: Introduction to Image Processing Using R

  • Book Subtitle: Learning by Examples

  • Authors: Alejandro C. Frery, Talita Perciano

  • Series Title: SpringerBriefs in Computer Science

  • DOI: https://doi.org/10.1007/978-1-4471-4950-7

  • Publisher: Springer London

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

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London Ltd., part of Springer Nature 2013

  • Softcover ISBN: 978-1-4471-4949-1Published: 07 February 2013

  • eBook ISBN: 978-1-4471-4950-7Published: 01 February 2013

  • Series ISSN: 2191-5768

  • Series E-ISSN: 2191-5776

  • Edition Number: 1

  • Number of Pages: XV, 87

  • Number of Illustrations: 25 b/w illustrations, 17 illustrations in colour

  • Topics: Image Processing and Computer Vision, Programming Languages, Compilers, Interpreters

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