Introduction to Image Processing Using R Learning by Examples /

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...

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Main Authors: Frery, Alejandro C. (Author, http://id.loc.gov/vocabulary/relators/aut), Perciano, Talita. (http://id.loc.gov/vocabulary/relators/aut)
Corporate Author: SpringerLink (Online service)
Language:English
Published: London : Springer London : Imprint: Springer, 2013.
Edition:1st ed. 2013.
Series:SpringerBriefs in Computer Science,
Subjects:
Online Access:https://doi.org/10.1007/978-1-4471-4950-7
Summary: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.
Physical Description:XV, 87 p. 42 illus., 17 illus. in color. online resource.
ISBN:9781447149507
ISSN:2191-5768