🚀 go-pugleaf

In article <1992Jul24.113320.8898@uoft02.utoledo.edu>,
jarney@jupiter.cse.utoledo.edu (jonathan arney) writes:

|>   At any rate, I am looking for more ideas from anyone even vaguely
|>interested 
|>  in image procesing for routines to include...				   -Jon Arney
|>				   jarney@jupiter.cse.utoledo.edu

You mentioned some image processing routines which you have included,
and you have
requested suggestions for more routines to include.

I'd like to point out that, for many applications, the ability to
process a user-selected
subset of an image is crucial.  Examples of this include selecting and
"zooming"
a portion of an image on a display device, selecting a subset of an
image
and then performing some operation (such as a Fourier transform) on the
subset,
selecting multiple subsets and comparing them (or, for example, adding
them)
in some manner.  For my own work, it is essential that I be able to
select a
subset of an image, then be able to "integrate" the subset by summing
the
pixel rows or columns - and ultimately output this information to a
file.

Unfortunately, the interactive selection of a subset of an image is
probably more
effective and easier by means of GUI-type programs, rather than by
command-line-
driven programs.  Fortunately, it may be relatively simple to construct
a
device-dependent shell which is capable of executing your command-line
program
while providing basic GUI features (use of a pointing device, mouse,
etc.). 

Finally, you can always get good ideas by looking at existing software
packages.
There has been some discussion on this newsgroup of existing image
processing packages, and I'd like to put in a plug for IRAF, the Image
Reduction and Analysis Facility (more info is probably available
through
NOAO, P.O.Box 26732, Tucson AZ 85726).  This is a COLOSSAL public-domain
(?) package
developed by the National Optical Astronomy Observatories (NOAO), and
in
part by the Space Telescope Science Institute (STScI) and others.  This
package
has an extensive compliment of functions for processing astronomical
data,
but in addition has plenty of general image processing tools.  It is
also extensible,
so you may develop your own tools for use with IRAF.  It is supported
on a wide variety of machines, and it is quite simple to install - but
it is HUGE!  If nothing else,
finding out more about the tools included in this package might give
you
some good ideas for tools to include in your own program!