[R Package]ripa: R Image Processing and Analysis

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ripa: R Image Processing and Analysis

A package including various functions for image processing and analysis. With this package is possible to process and analyse RGB, LAN (multispectral) and AVIRIS (hyperspectral) images. This packages also provides functions for reading JPEG files, extracted from the archived 'rimage' package.

Version:	2.0-2
Depends:	R (≥ 2.8.1), tcltk, parallel
Imports:	Rcpp (≥ 0.11.0)
LinkingTo:	Rcpp
Suggests:	e1071, rggobi, reshape, methods, jpeg, png, tkrplot, fftw, foreach, doSNOW
Enhances:	doMC
Published:	2014-05-31
Author:	Talita Perciano [aut, cre], Alejandro C Frery [ctb]
Maintainer:	Talita Perciano <talitaperciano at gmail.com>
License:	GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE]
URL:	http://www.r-project.org
NeedsCompilation:	yes
SystemRequirements:	BWidget, Tktable, Img, libjpeg
Materials:	INSTALL
CRAN checks:	ripa results

Downloads:

Reference manual:	ripa.pdf
Package source:	ripa_2.0-2.tar.gz
Windows binaries:	r-devel: ripa_2.0-2.zip, r-release: ripa_2.0-2.zip, r-oldrel: ripa_2.0-2.zip
OS X El Capitan binaries:	r-release: ripa_2.0-2.tgz
OS X Mavericks binaries:	r-oldrel: ripa_2.0-2.tgz
Old sources:	ripa archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ripa to link to this page.

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关键词：Processing Analysis processI package Process

1. Examples
   
2. data(logo)
   
3. op <- par(mfrow=c(2,2))
   
4. plot(logo, main="Source Image")
   
5. # the appearance of next one doesn't change because of normalization.
   
6. plot(normalize(2*logo), main="Doubled pixel value with normalization")
   
7. # the next one is saturated as expected
   
8. plot(clipping(2*logo), main="Doubled pixel value with clipping")

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1. Examples
   
2. p <- q <- seq(-1, 1, length=20)
   
3. r <- 1 - outer(p^2, q^2, "+") / 2
   
4. plot(imagematrix(r))

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1. Examples
   
2. ## Not run:
   
3. x <- read.jpeg(system.file("extdata", "Rlogo.jpg", package="ripa"))
   
4. cat("Image Type", imageType(x))
   
5. x.grey <- rgb2grey(x)
   
6. cat("Image Type", imageType(x.grey))
   
7. ## End(Not run)

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