Frery, Alejandro C.
Introduction to Image Processing Using R Learning by Examples / [electronic resource] : by Alejandro C. Frery, Talita Perciano. - XV, 87 p. 42 illus., 17 illus. in color. online resource. - SpringerBriefs in Computer Science, 2191-5768 . - SpringerBriefs in Computer Science, .
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.
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.
9781447149507
10.1007/978-1-4471-4950-7 doi
Computer science.
Programming languages (Electronic computers).
Image processing.
Computer Science.
Image Processing and Computer Vision.
Programming Languages, Compilers, Interpreters.
TA1637-1638 TA1634
006.6 006.37
Introduction to Image Processing Using R Learning by Examples / [electronic resource] : by Alejandro C. Frery, Talita Perciano. - XV, 87 p. 42 illus., 17 illus. in color. online resource. - SpringerBriefs in Computer Science, 2191-5768 . - SpringerBriefs in Computer Science, .
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.
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.
9781447149507
10.1007/978-1-4471-4950-7 doi
Computer science.
Programming languages (Electronic computers).
Image processing.
Computer Science.
Image Processing and Computer Vision.
Programming Languages, Compilers, Interpreters.
TA1637-1638 TA1634
006.6 006.37