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Titlebook: Introduction to Image Processing Using R; Learning by Examples Alejandro C. Frery,Talita Perciano Book 2013 The Editor(s) (if applicable) a

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发表于 2025-3-21 17:06:07 | 显示全部楼层 |阅读模式
书目名称Introduction to Image Processing Using R
副标题Learning by Examples
编辑Alejandro C. Frery,Talita Perciano
视频video
概述This book introduces the statistical software R in an intuitive and practical manner.Presents and explains both the theory and practice of R code concepts and techniques.Encourages the reader to try t
丛书名称SpringerBriefs in Computer Science
图书封面Titlebook: Introduction to Image Processing Using R; Learning by Examples Alejandro C. Frery,Talita Perciano Book 2013 The Editor(s) (if applicable) a
描述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.
出版日期Book 2013
关键词Data Analysis; Image Analysis; Image Processing; R; Statistical Computing
版次1
doihttps://doi.org/10.1007/978-1-4471-4950-7
isbn_softcover978-1-4471-4949-1
isbn_ebook978-1-4471-4950-7Series ISSN 2191-5768 Series E-ISSN 2191-5776
issn_series 2191-5768
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer-Verlag London L
The information of publication is updating

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发表于 2025-3-21 23:21:05 | 显示全部楼层
Book 2013al 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 pres
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Filters in the Image Domain,enhancement by unsharp masking is also discussed. The effect of filters is assessed by means of the resulting image and by the analysis of a profile. The minimum, median, and maximum filters are presented, along with a summary of the theoretical properties of order statistics.
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Image Data Formats and Color Representation, printers and photocopiers, while the HSV model is used in artificial vision systems. The two main classes used to store images, vector, and raster, are also presented in this chapter. In a vector format the image is described by geometrical primitives, while in a raster format it is described by a
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Contrast Enhancement and Dimensionality Reduction by Principal Components,transformation of the original image is presented. The possibility of compressing the data by discarding bands is discussed both in the original data and in the data transformed by principal components: each of the bands before, during, and after transformation is exhibited and analyzed.
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ances. More precisely, we first elaborate on different sources of affect information in games and proceed with issues such as the affective evaluation of players and affective interaction in games. We summarize the existing commercial affective gaming applications and introduce new gaming scenarios.
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