Introduction to Image Processing Using R

Learning by Examples

  • Alejandro C. Frery
  • Talita Perciano

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

Table of contents

  1. Front Matter
    Pages i-xv
  2. Alejandro C. Frery, Talita Perciano
    Pages 1-20
  3. Alejandro C. Frery, Talita Perciano
    Pages 21-29
  4. Alejandro C. Frery, Talita Perciano
    Pages 31-41
  5. Alejandro C. Frery, Talita Perciano
    Pages 43-57
  6. Alejandro C. Frery, Talita Perciano
    Pages 59-75
  7. Alejandro C. Frery, Talita Perciano
    Pages 77-84
  8. Back Matter
    Pages 85-87

About this book

Introduction

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.

Keywords

Data Analysis Image Analysis Image Processing R Statistical Computing

Authors and affiliations

  • Alejandro C. Frery
    • 1
  • Talita Perciano
    • 2
  1. 1.Instituto de ComputaçãoUniversidade Federal de AlagoasMaceióBrazil
  2. 2.Departamento de Ciência da ComputaçãoUniversidade de São PauloSão PauloBrazil

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-4950-7
  • Copyright Information Alejandro C. Frery 2013
  • Publisher Name Springer, London
  • eBook Packages Computer Science
  • Print ISBN 978-1-4471-4949-1
  • Online ISBN 978-1-4471-4950-7
  • Series Print ISSN 2191-5768
  • Series Online ISSN 2191-5776
  • About this book