Introduction to Image Processing Using R : Learning by Examples

Alejandro C. Frery

ISBN 10: 1447149491 / ISBN 13: 9781447149491

Published by Springer, Springer, 2013

About this Item

Druck auf Anfrage Neuware - Printed after ordering - 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.

Seller Inventory # 9781447149491

Bibliographic Details

• Title: Introduction to Image Processing Using R : Learning by Examples
• Publisher: Springer, Springer
• Publication Date: 2013
• Language: English
• ISBN 10: 1447149491
• ISBN 13: 9781447149491
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 235W x 155H x 7D millimeters 235 millimeters width by 155 millimeters height by 7 millimeters depth
• Weight: 172 grams

About this title

Synopsis

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.