[R] Image Classification in R

[Bert Gunter]

This is an R-help list. These are not questions about R. You should
talk to a local statistical expert instead of posting here.

Cheers,
Bert

On Mon, Oct 14, 2013 at 1:23 PM, Lorenzo Isella
<lorenzo.isella at gmail.com> wrote:
> Dear All,
> For a project I am given a set of images. They represent either healthy or
> tumoral tissue, but the specific nature of the images does not matter.
> I need to train a classifier which is expected to tell me in which category
> (let's call it 0 vs 1) each image falls.
> I am thinking about a random forest classifier, but I am uncertain about a
> couple of (fairly important) points
>
> (1) The size of the images varies, so for instance the number of pixels is
> not the same for every image and as a consequence some methodologies (e.g.
> the PCA) when applied to these images will lead to results not immediately
> comparable. Is trying to blur/flatten the images a good idea to have always
> (artificially) the same size (number of pixels) for every image?
> (2) Which features do you recommend to associate\calculate for every image?
> This is what I will use to train my model upon.
>
> Any suggestion is welcome.
> Cheers
>
> Lorenzo
>
> ______________________________________________
> R-help at 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.



-- 

Bert Gunter
Genentech Nonclinical Biostatistics

(650) 467-7374