Introduction to Image Processing Using R

Learning by Examples

Nonfiction, Computers, Application Software, Computer Graphics, Programming, Programming Languages, General Computing
Cover of the book Introduction to Image Processing Using R by Alejandro C. Frery, Talita Perciano, Springer London
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Author: Alejandro C. Frery, Talita Perciano ISBN: 9781447149507
Publisher: Springer London Publication: February 1, 2013
Imprint: Springer Language: English
Author: Alejandro C. Frery, Talita Perciano
ISBN: 9781447149507
Publisher: Springer London
Publication: February 1, 2013
Imprint: Springer
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

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