Hello,

Yes, UTHSCSA Image Tools is a good package too, but it is less powerful than
ImageJ and it is not updated since quite a long time. There is an active
development of ImageJ, plenty of plugins, and an easier interface to make
its own plugins and scripts than in image tools. So, unless someone decide
to continue the development of Image Tools, ImageJ is probably a better
choice.

Also, taxonomic classification of bugs (as in the initial request) or
plancton, is a rather difficult tasks that deserves all the power and
flexibility you can get in R. So, I think Angel Lopez is in a better way in
importing data to R and working there. Automatic classification in Image
Tools and ImageJ could be useful in some situations, but it is not powerful
in this case.

Best,

Philippe Grosjean

..............................................<°}))><........
 ) ) ) ) )
( ( ( ( (    Prof. Philippe Grosjean
 ) ) ) ) )
( ( ( ( (    Numerical Ecology of Aquatic Systems
 ) ) ) ) )   Mons-Hainaut University, Pentagone
( ( ( ( (    Academie Universitaire Wallonie-Bruxelles
 ) ) ) ) )   8, av du Champ de Mars, 7000 Mons, Belgium  
( ( ( ( (       
 ) ) ) ) )   phone: + 32.65.37.34.97, fax: + 32.65.37.33.12
( ( ( ( (    email: [EMAIL PROTECTED]
 ) ) ) ) )      
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> -----Original Message-----
> From: [EMAIL PROTECTED] 
> [mailto:[EMAIL PROTECTED] On Behalf Of Barry 
> Rowlingson
> Sent: Thursday, August 26, 2004 1:18 PM
> To: [EMAIL PROTECTED]
> Subject: Re: [R] image recognition in R
> 
> 
> > Angel wrote:
> >  > > I have some images of bugs (insects) with many bugs in 
> each image.
> >  > > I want to count the number of bugs and to have an 
> estimate of  > 
> > > the area of each one.
> >  > > I've tried searching for an R package to do so with no  > > 
> > success. Is this a task that I should pursue doing in R or  
> > > should 
> > I restrict myself to specific image analysis software  > > (e.g. 
> > ImageJ)?.
> >  > >
> >  > > The reason I consider R would be a good choice is because  > > 
> > then It would probably be possible to use R statistical 
> power  > > to 
> > do pattern recognition on each bug's image to try to  > > identify 
> > each bug (Family, genus or species).
> >  > > Is anybody working in this direction?
> 
> I see people have mentioned ImageJ, but I recently discovered 
> the UTHSCSA Image Tool 
> (http://ddsdx.uthscsa.edu/dig/itdesc.html) which does lots of 
> image processing things. Its free, the source code is 
> available (it says, the ftp link is bad though), and one of 
> the examples is in classifying black 'blobs' in an image.
> 
>   It has the power to export various quantities for each 
> identified object (major/minor axis, size, perimeter, that 
> sort of thing) so you could import that into R for more 
> discrimination. Not seamless, but workable.
> 
>   Beware though, it did crash _lots_ when were doing object 
> identification.
> 
> Barry
> 
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