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VISION-LIST Digest 1989 03 01

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VISION LIST Digest
 · 11 months ago

Vision-List Digest	Wed Mar 01 13:06:39 PDT 89 

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Today's Topics:

PD Image Processing Software for Suns
Faculty Positions in Robotics

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Date: Mon, 27 Feb 89 11:15:48 GMT
Subject: PD Image Processing Software for Suns
From: phill%MED-IMAGE.COMPSCI.BRISTOL.AC.UK@CUNYVM.CUNY.EDU

This is to introduce a toolkit of image processing pro-
grams, collectively called the ALV toolkit for historical
reasons, written by Phill Everson <everson@uk.ac.bris.cs> in
the Computer Science Dept. of Bristol University, United
Kingdom.

The toolkit is designed to aid image processing work on
Sun workstations. It is intended to be easy to use, though
not restrictive to experienced users, user-configurable,
extensible and flexible. For example the toolkit will work
on both black and white and colour workstations and in
either case will transparently, to the user, display an
image to the best of its ability on the screen.

The toolkit has recently been rewritten to use the
standard Sun rasterfile format to store its images allowing
multiple depth images to be processed by the same toolkit
and easy migration of data between packages.

*** All people currently on the alv-users mailing list will
receive a copy of the new toolkit in the next couple of days.

The toolkit is made up of a number of tools. These
include programs to display an image on the screen, to
display a histogram, to perform histogram equalisation, to
threshold, to print an image on an Apple Laserwriter, to
invert an image and to convolve an image with a user-
supplied linear filter. Currently, there are 27 such pro-
grams.

The toolkit was initially written to fulfill a need at
Bristol University for a single coherent set of tools to
support basic image processing research on a variety of pro-
jects. We had found that each user or group of users was
writing their own copy of programs to do similar things,
like displaying an image on the screen, and more impor-
tantly, in an enviroment were disk space is always at a
premium, was each keeping separate copies of these often
large programs.

Using a coherent set of tools with a consistent file
format has substantially increased cross-project communica-
tion and in addition has provided a higher starting point on
the learning curve for novice Sun-Users/Imagers. We have
found that users generally use the core tools as a basis and
are then able to concentrate their work in their own area of
interest.

The ALV toolkit comes complete with a 40-50 page manual
online which can easily be dumped to a laserwriter to prov-
ide and impressive reference for a Public Domain Program.

The toolkit is currently distributed via email.
Contact <alv-users-request@uk.ac.bris.cs> to request a copy.

The following are the commands currently in the toolkit:

array2ras - convert array to raster
blend - blend two rasters together
box - box a raster
convert - convert textual raster to raster
convolve - convolve a raster with a linear filter
dither - convert 8 bit raster to 1 bit using dither matrix
dsp - display a raster on screen
equalise - equalise a raster
ffill - flood fill a raster
halftone - convert an 8 bit raster to 1 bit using bitmap
font
hist - display histogram of raster
im2ras - convert old ALV format to raster
invert - invert the pixels in a raster
ras2array - convert raster to array
ras2im - convert raster to old ALV format
ras2lw - output a raster on a Laserwriter
rasinfo - print raster udimensions and depth
rasrange - range a raster's greylevels
rasregion - clip a raster to a region
rasscale - scale a raster's size by a scaling-factor
rasthresh - threshold raster
rasval - print pixel values of raster
scr2ras - interactive screendump to raster
transform - shear or rotate a raster
winlev - convert N bit deep raster to 8 bits deep
winlev8 - interactively change window and level of a
displayed raster

Phill Everson
-------------------------------------------------------------------------
SNAIL: Phill Everson, Dept Comp Sci, University of Bristol, England
JANET: everson@uk.ac.bris.cs
UUCP: ...mcvax!ukc!csisles!everson
ARPANET: everson@cs.bris.ac.uk OR everson%uk.ac.bris.cs@nss.cs.ucl.ac.uk
BITNET: everson%uk.ac.bris.cs@ukacrl.bitnet


------------------------------

Date: Mon, 27 Feb 1989 16:59-EST
From: Takeo.Kanade@IUS3.IUS.CS.CMU.EDU
Subject: Faculty Positions in Robotics


Faculty Positions in Robotics

Carnegie Mellon University
Robotics Ph.D. Program


Applications are invited for tenure-track faculty positions in the Robotics
Ph.D. Program at Carnegie Mellon University. The program is
interdisciplinary with participation from the Robotics Institute, School of
Computer Science, Carnegie Institute of Technology (the engineering
college), and Graduate School of Industrial Administration. Appointees are
expected to play major roles in education and research in the program. The
appointments may be made at either assistant, associate, or full professor
levels, and in general will be joint positions between the Robotics
Institute and an academic department or school, depending on the
qualifications and backgrounds of the applicants. If so desired, a non-
tenure-track research faculty position at the Robotics Institute can also be
considered.

Applicants for tenured positions must have strong records of achievements in
research and education in robotics and have demonstrated leadership in
formulating and performing advanced research projects. Applicants for
junior tenure-track positions must have a Ph.D. in a related discipline and
have demonstrated competence in one or several areas of Robotics research
together with potential for excellent teaching.

Outstanding candidates in all areas of Robotics are invited, including, but
not limited to, mechanism, manipulation, control, locomotion, vision,
design, planning, knowledge-based systems, simulation, graphics,
micro-electronics, parallel computing, manufacturing, and management.

Applicants should send their applications with curriculum vitae and names of
at least four references to: Professor Takeo Kanade, Director of the
Robotics Ph.D. Program, The Robotics Institute, Carnegie Mellon University,
Pittsburgh, PA 15213.

Carnegie Mellon is an Equal Opportunity/Affirmative Action employer.


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End of VISION-LIST
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