I found the 'biOps' package for "Image and data analysis" quite helpful. (I did some astronomical investigations with it --- counting galaxies in a Hubble picture---and I do recommend this package.)
Under Windows you have to unpack the 'libjpeg' and 'libtiff' libraries beforehand somewhere in your path. See <finzi.psych.upenn.edu/Rhelp08/2009-April/194630.html> for a link to download all necessary libraries as a zip-file. If this link to RapidShare does not work anymore, I think I still have that file somewhere and could send it to you by e-mail. Regards Hans Werner Robert Biddle wrote: > > > Can someone advise me what the most sensible way is to read jpeg > images? > > For our work with image analysis and eye-tracking we have been using > the > rimage package, on both Macs and Windows PCs. But while setting up a > new > Windows machine yesterday, I see that rimage is regarded as orphaned, > and no > Windows binary is available. I eventually found an old zip file for the > package, so I am not stuck, but I wonder what the right way is to go > forward. I did find the readimages package, but it also seemed > problematic > to install on both Windows on Mac, requiring extra software that it was > itself unclear how to install. > > Is there some simpler solution I should be looking at? > > Are jpeg files so probematic I should be converting them to some other > format and using a different package to read that? > > > Thanks > > Robert Biddle > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide > http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. > > -- View this message in context: http://www.nabble.com/reading-jpeg-images--tp24698332p24700340.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
