Color reduction of an image – and Warholize?

July 5, 2011
By

(This article was first published on me nugget, and kindly contributed to R-bloggers)

There seems to be several methods out there for reducing the colors in an image. I became interested in this after pondering how this is done in the excellent freeware program IrfanView. Unfortunately, their method is not described anywhere that I could find, but I imagine that it is something along the tree data structure collapse method that ImageMagick employes.

The biOps package employes the k-means clustering to arrive at a reduced number of colors. I find that while this method takes a bit longer, the results can actually look a lot better. Just for kicks, I imbedded the imgKMeans() function in another function called warholize() that replaces these reduced color levels with another set. It's definitly not a Warhol, but I still like the effect.

the function…

Read more »

To leave a comment for the author, please follow the link and comment on their blog: me nugget.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , , , ,

Comments are closed.

Sponsors

Mango solutions



plotly webpage

dominolab webpage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)