thanks for the tips! your answer will certainly help me a lot! ishida
2013/3/13 Robert Baer <rb...@atsu.edu> > On 3/13/2013 12:05 AM, ishi soichi wrote: > >> I am not sure if I should ask this question in this list. But I'll try. >> >> Currently I am trying to analyze images using EBImage and biOps. >> One of the features that I need to extract from various images is the >> color >> spectrum, namely, which colors each image consists of. >> >> So, each image hopefully can be converted into some sort of color >> histogram >> so that color ingredients are easily comparable with each other. >> >> There are so many functionalities that these packages and others provide, >> and I am hoping that someone would give me some guideline for the >> analysis. >> >> Any suggestion? >> > Your question is quite general, so I'll make a couple of general comments, > returning us to R at the end. > > You need to read about spectral color systems, for example > http://www.fourmilab.ch/**documents/specrend/<http://www.fourmilab.ch/documents/specrend/>. > You undoubtedly have used filters, whether a Bayer filter typically built > into a color camera or more specific filters if you have used a monochrome > camera to collect non-RGB channels. You need to know what type of > transforms might have been performed during the storage process. For > example, has the image already been transformed to RGB space before > storage? In fluorescent spectroscopy, for example, it is common to use > pseudo-coloring so the channels of the stored image may not be directly > convertible into spectral color without additional information. > > R can do all the appropriate matrix algebra once you define the specifics > of your individual conversion. > > Hope this helps, > > Rob > > > >> Thanks. >> >> ishida >> >> [[alternative HTML version deleted]] >> >> ______________________________**________________ >> R-help@r-project.org mailing list >> https://stat.ethz.ch/mailman/**listinfo/r-help<https://stat.ethz.ch/mailman/listinfo/r-help> >> PLEASE do read the posting guide http://www.R-project.org/** >> posting-guide.html <http://www.R-project.org/posting-guide.html> >> and provide commented, minimal, self-contained, reproducible code. >> > > > -- > > Robert W. Baer, Ph.D. > Professor of Physiology > Kirksille College of Osteopathic Medicine > A. T. Still University of Health Sciences > Kirksville, MO 63501 USA > > [[alternative HTML version deleted]] ______________________________________________ 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.
