Introduction to image processing using R : learning by examples
著者
書誌事項
Introduction to image processing using R : learning by examples
（SpringerBriefs in computer science）
Springer, c2013
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
Definitions and Notation
Image Data Formats and Color Representation
Reading and Writing Images with R: Generating High Quality Output
Contrast Manipulation
Filters in the Image Domain
Contrast Enhancement and Dimensionality Reduction by Principal
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