Authors:
- 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)
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Front Matter
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Back Matter
About this book
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
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Instituto de Computação, Universidade Federal de Alagoas, Maceió, Brazil
Alejandro C. Frery
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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