Re: [R] Image Processing packages

From: Charles Annis, P.E. <>
Date: Sat 28 Jan 2006 - 02:35:43 EST


I use R to quantify the efficacy of ultrasonic inspections of metal components (e.g. looking for nonmetallic inclusions in forgings) and use R for image processing, but my methods have been rather a kluge. I am interested in your R functions, if you will make them available. Unfortunately, making a package for CRAN is (in my opinion) WAY too hard on Windows, and I've given up, but I hope that you do not. I second Stephan Matthiesen's recent suggestion that you make your image processing functions available to fellow R users, if not on CRAN, then perhaps as ascii files from your website.


Charles Annis, P.E. phone: 561-352-9699
eFax: 614-455-3265  

-----Original Message-----
[] On Behalf Of Kort, Eric Sent: Thursday, January 26, 2006 2:39 PM To: Thomas Kaliwe; Subject: Re: [R] Image Processing packages

Thomas Kaliwe wrote:
> Hi,
> I've been looking for Image Processing packages. Thresholding, Edge
> Filters, Dct, Segmentation, Restoration. I'm aware, that Octave,
> etc. would be a good address but then I'm missing the "statistical
> power" of R. Does anybody know of packages, projects etc. Comments on
> wether the use of R for such matters is useful are welcome.

See also my package rtiff for reading tiff images.

I routinely do image analysis in R. Yes, it is relatively slow compared to dedicated solutions, but I like the smooth integration with the associated statistical analysis and the ability to have a single script that performs the image analysis and multiple files and subsequent statistical analysis, and with modern computing equipment R is fast enough for my purposes.

I have a variety of standard image processing functions written in R, but have yet to distribute them because most people choose not to perform image analysis in R for the previously stated reasons.

So in general I would agree that R is sub-optimal for image processing (and this is certainly outside the realm of things R was intended to do if I read the early mailing list archives correctly). However, it can be done and it might be desirable to do so from a work-flow perspective.


> Greetings
> Thomas Kaliwe

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