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Advanced Image-Processing in R

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Bindings to ImageMagick: the most comprehensive open-source image processing library available. Supports many common formats (png, jpeg, tiff, pdf, etc) and manipulations (rotate, scale, crop, trim, flip, blur, etc). All operations are vectorized via the Magick++ STL meaning they operate either on a single frame or a series of frames for working with layers, collages, or animation. In RStudio images are automatically previewed when printed to the console, resulting in an interactive editing environment.


About the R package:

About the underlying library:

Hello World

Run examples in RStudio to see live previews of the images! If you do not use RStudio, use image_browse to open images. On Linux you can also use image_display to get an X11 preview.

frink <- image_read("https://jeroen.github.io/images/frink.png")
image_scale(frink, "200x200")
image_rotate(frink, 45) ## <-- result of this is shown
frink %>% 
  image_background("green") %>% 
  image_flatten() %>%
  image_border("red", "10x10")
image_rotate(frink, 45) %>% image_write("img/frink-rotated.png")


image_charcoal(frink) ## <-- result of this is shown
image_charcoal(frink) %>% image_write("img/frink-charcoal.png")

Create GIF animation:

# Download images
oldlogo <- image_read("https://developer.r-project.org/Logo/Rlogo-2.png")
newlogo <- image_read("https://www.r-project.org/logo/Rlogo.png")
logos <- c(oldlogo, newlogo)
logos <- image_scale(logos, "400x400")

# Create GIF
(animation1 <- image_animate(logos))
image_write(animation1, "img/anim1.gif")

# Morph effect  <-- result of this is shown
(animation2 <- image_animate(image_morph(logos, frames = 10)))
image_write(animation2, "img/anim2.gif")

Read GIF anination frames. See the rotating earth example GIF.

earth <- image_read("https://upload.wikimedia.org/wikipedia/commons/2/2c/Rotating_earth_%28large%29.gif")
earth1 <- rev(image_flip(earth)) ## How Austrialans see earth
image_write(earth1, "img/earth1.gif") ## <-- result of this is shown

R logo with dancing banana

logo <- image_read("https://www.r-project.org/logo/Rlogo.png")
banana <- image_read("https://jeroen.github.io/images/banana.gif")
front <- image_scale(banana, "300")
background <- image_scale(logo, "400")
frames <- lapply(as.list(front), function(x) image_flatten(c(background, x)))
image_write(image_animate(image_join(frames)), "img/Rlogo-banana.gif")


Binary packages for OS-X or Windows can be installed directly from CRAN:


Installation from source on Linux or OSX requires the imagemagick Magick++ library. On Debian or Ubuntu install libmagick++-dev:

sudo apt-get install -y libmagick++-dev

If you are on Ubuntu 14.04 (trusty) or 16.04 (xenial) you can get a more recent backport from the ppa:

sudo add-apt-repository -y ppa:opencpu/imagemagick
sudo apt-get update
sudo apt-get install -y libmagick++-dev 

On Fedora, CentOS or RHEL we need ImageMagick-c++-devel. However on CentOS the system version of ImageMagick is quite old. More recent versions are available from the ImageMagick downloads website.

sudo yum install ImageMagick-c++-devel

On OS-X use imagemagick@6 from Homebrew. Note that we need to build --with-fontconfig to support text features such as annotation and svg rendering.

brew reinstall imagemagick@6 --with-fontconfig --with-librsvg 
brew link --force imagemagick@6

There is also a fork of imagemagick called graphicsmagick, but it doesn't work as well. I highly recommend you build with imagemagick.