HDTenEightyP/NetNews huggingface dataset:
From: bweiner@ruhets.rutgers.edu (Benjamin Weiner)
Newsgroups: sci.physics
Subject: Re: the nature of exclusion
Date: 1 Sep 92 21:27:37 GMT
Organization: Rutgers Univ., New Brunswick, N.J.

Richard Mathews writes:
   Now take these in the limit that theta1 and theta2 approach theta (where
   in the general case, this means that all of the parameters in each set
   approach a common set of values).  Then
        Pdiff(theta,theta)  -> 2 * [A1(theta) * A2(theta)]^2
        Pboson(theta,theta) -> 4 * [A1(theta) * A2(theta)]^2
        Pfermion(theta,theta) -> 0

   Now, I think this result is interesting for several reasons.  First,
   it doesn't depend on the nature of the scattering center.  Bosons are
   always twice as likely to end up in identical states as are different
   particles, and fermions will never be able to scatter into the same
   state. ...

This also very nicely demonstrates boson clumping, which is something
that I (and many other students) have found more difficult to see in
the equations than fermion exclusion.  That is, given antisymmetry of
the fermion wavefunction, it's easy to see that exclusion follows,
but seeing that clumping follows directly from symmetry of the boson
wavefunction is conceptually a little harder.  Another way of looking
at clumping is to see that if you have a vacuum state (no photons), 
and create two photons by applying the creation operator twice, the
amplitude is bigger to get the two photons in the same state, than to
get two photons in different states.
From: bweiner@ruhets.rutgers.edu (Benjamin Weiner)
Newsgroups: sci.physics
Subject: Canonical transformations
Date: 2 Sep 92 19:37:47 GMT
Organization: Rutgers Univ., New Brunswick, N.J.

I have not got a good grasp on the active vs. passive interpretations
of canonical transformations, and Goldstein, the canonical source, is
not really very helpful on this subject.  Can anyone recommend a
better reference?  I am more interested in a treatment with examples
than in mathematical formalism.

Ben Weiner
From: m_yearwo@csd.brispoly.ac.uk (Mike Yearworth)
Newsgroups: sci.image.processing
Subject: Image Restoration
Keywords: Signal-to-Noise Ratio, Entropy, Resolution
Date: 26 Aug 92 13:52:28 GMT
Reply-To: m_yearwo@csd.bristol-poly.ac.uk
Organization: Bristol-Polytechnic

Hi,
	I'm looking for some references on extracting objective
measurements of image quality, for example the signal to noise ratio
of an image or its entropy, with a view to judging how good a particular
image restoration technique is. I'd be interested in obtaining bibliographies
and/or references to good textbooks. Thankyou.
|================================================================|
|Dr Michael Yearworth       | eMAIL:  m_yearwo@uk.ac.brispoly.csd|
|Bristol Polytechnic        | Tel:    +44 272 656261 ext. 3159   | 
|Frenchay, Bristol BS16 1QY | FAX:    +44 272 763860             |
|U.K.                       |                                    |
|================================================================|
 
Newsgroups: sci.image.processing
From: hemphill@torment.ugcs.caltech.edu (Scott Hemphill)
Subject: Need NTSC frame grabber for PC
Organization: /home/hemphill/.organization
Date: Wed, 26 Aug 1992 15:14:50 GMT

I am looking for an NTSC frame grabber for an ISA bus IBM PC compatible.
I wish to grab single frames, so real-time performance is not an issue.
Does anyone have any pointers to information about what's available?

Thanks for your help.
Scott
--
Scott Hemphill	hemphill@alumni.caltech.edu
From: psomu@pilot.njin.net (Prabhakar Somu)
Newsgroups: sci.image.processing
Subject: particle seperation
Keywords: blobs,touching,seperation
Date: 30 Aug 92 18:39:08 GMT
Organization: Rutgers Univ., New Brunswick, N.J.


   Hi,

   Can anyone refer me to some literature on particle seperation?
   Specifically, this is what I am interested in:

   I have a binary image which has in it some closed regions (blobs).
   Some of the blobs are touching each other. I would like to
   seperate the blobs which are touching each other, without altering
   the blobs that are not touching. Operations such as erosion on the
   whole image would seperate the touching blobs, but would also
   change the parameters of the ones that are not touching (for
   example, the area and perimeter of the isolated blobs would
   change). In other words, what I am looking for is some
   non-destructive way of seperation. Any ideas or references would be
   gladly appreciated. Thanks,

   /somu somu@mirage.umdnj.edu
		or
	 psomu@pilot.njin.net
From: yi@fife.ecn.purdue.edu (Juneho Yi)
Newsgroups: sci.image.processing
Subject: Re: Image Restoration
Keywords: Signal-to-Noise Ratio, Entropy, Resolution
Date: 26 Aug 92 15:00:54 GMT
Organization: Purdue University Engineering Computer Network

m_yearwo@csd.brispoly.ac.uk (Mike Yearworth) writes:

>Hi,
>	I'm looking for some references on extracting objective
>measurements of image quality, for example the signal to noise ratio
>of an image or its entropy, with a view to judging how good a particular
>image restoration technique is. I'd be interested in obtaining bibliographies
>and/or references to good textbooks. Thankyou.
>|================================================================|
>|Dr Michael Yearworth       | eMAIL:  m_yearwo@uk.ac.brispoly.csd|
>|Bristol Polytechnic        | Tel:    +44 272 656261 ext. 3159   | 
>|Frenchay, Bristol BS16 1QY | FAX:    +44 272 763860             |
>|U.K.                       |                                    |
>|================================================================|
> 
We use the volume between two surfaces(original image and restored
one)normalized by the surface area
as an invariant(w.r.t. arbitrary coordinate) measure to compare
results from different reconstruction algorithms.
We came up with a very efficient way of computing
the volume between
two surfaces and the surface area. Time
complexity is theta(n)
where n is the number of pixels. 
			 
This computing method is used in our paper entitled
"Discontinuity-preserving and Viewpoint Invariant Reconstruction
 of Visible Surfaces using a First Order Regularization"
which is to appear in the IEEE Int'l Conf. on Automation, robotics, and
Computer Vision, Sigapore, September 1992.

-- yi@ecn.purdue.edu
Newsgroups: sci.image.processing
From: sem@eris.cs.wayne.edu (Rekha Manjakuppam)
Subject: MAXIMUM INTENSITY PROJECTION
Keywords: Magnetic Resonance
Organization: Wayne State University, Detroit
Date: Mon, 31 Aug 1992 22:23:53 GMT


Has anyone heard of MIP(Maximum Intensity Projection). This is
technique used in medical area wherein images are obtained from
magnetic
resonance scanners. These 3D data sets(a.k.a.volumes) are processed 
to obtain 3D projections of the blood vessel system. 
This method probably got its name from the fact that the contrast of 
the vessels and other tissues is good in the set of images. 
I did have some luck with the 3D data sets but along with the blood
vesels i also get other data (ventricles) which i would like it to be
in the background. Also i am only able to manipulate slices at zero
degrees. What if i wanted to see the blood vessels from all  possible
directions.
I would appreciate it if some information could be passed on as to
how this works or the details of the algorithm.

My e-mail add : sem@artemis.cs.wayne.edu.

Thanks in advance.

Rekha.
From: gst5@igpho (Li)
Subject: keywords search on public domain?
Organization: Swiss Federal Institute of Technology (ETH), Zurich, CH
X-Newsreader: Tin 1.1 PL3
Date: Fri, 4 Sep 1992 13:25:58 GMT

I'm sure that we can do a searching on public domain by keywords. For
example, we can search for softwear or reference on wavelet by keyword
'wavelet'. Dose anybody know how to do this?

Thanks in advance!

Haihong Li
From: spl@ivem.uucp (Steve Lamont)
Newsgroups: sci.image.processing
Subject: Re: Image Synthesis, Rendering and Display Algs
Date: 4 Sep 92 19:17:22 GMT
Article-I.D.: network.188co3INNds3
Organization: University of Calif., San Diego/Microscopy and Imaging Resource
NNTP-Posting-Host: ivem.ucsd.edu

In article <1992Sep4.182427.1774@colorado.edu> heuring@riker.cs.colorado.edu (Vincent Heuring) writes:
>I need references to texts that describe the algorithms for image
>synthesis, rendering, and display. Entry level and advanced would
>be appreciated!

Check Pavlidis, T., _Algorithms for Graphics and Image Processing_
(ISBN 0-914894-65-X) and Foley, van Dam, Feiner, and Hughes, _Computer
Graphics Principles and Practice, Second Edition_ (ISBN
0-201-12110-7).

Other good books for image processing, are Pratt, _Digital Image
Processing_ (ISBN 0-471-85766-1), and Jain, _Fundamentals of Digital
Image Processing_ (ISBN 0-13-336165-9).

							spl
-- 
Steve Lamont, SciViGuy -- (619) 534-7968 -- spl@dim.ucsd.edu
UCSD Microscopy and Imaging Resource/UCSD Med School/La Jolla, CA 92093-0608
"O generation of the thoroughly smug/and thoroughly uncomfortable...
.. the fish swim in the lake/and do not even own clothing." - Ezra Pound
From: honig@ruffles.ics.uci.edu (David A. Honig)
Subject: Re: Discriminating Objects from their shadows.
Newsgroups: sci.image.processing
Reply-To: honig@ics.uci.edu (David A. Honig)
Organization: UC Disneyland, in the Kingdom of Bren
Date: 28 Aug 92 15:16:41 GMT
Distribution: sci

 whb@castle.ed.ac.uk (H Bruce) writes:
>Can anyone point me to work done in the area of discriminating between objects
>and the shadows they cast ?
>
>I need this as shadows are causing havoc with my object tracking algorithm.
>

Look into some of the computational perception approaches to edge-finding.
(Marr, Canny, Hildreth...) A shadow will likely have a rather broad edge,
vs. an occlusion (object) edge, due to the penumbra.  Also if you have color
info the color changes in shadows will be constrained in ways (eg, RGB all
reduced by an equal fraction, if certain assumptions about light sources are
true) that may allow you to discriminate them from other edges.
--
David "Dances with Motion Sensors" Honig

'People that are really very wierd can get into sensative positions
and have a tremendous impact on history.'	-- Vice President Dan Quayle
Newsgroups: sci.image.processing
From: schuette@wl.com (Wade Schuette)
Subject: Image Processing Starter Kit, on FTP
Organization: Warner Lambert / Parke-Davis
Date: Sat, 29 Aug 1992 01:34:20 GMT

Can anyone point me to FTP sources for some software suitable
for learning about basic image processing (erose, edge-detection,
etc.)  I'm looking for something suitable for demos and letting
new users play with and say "ahh, now I see what that means..."

Please reply directly to me. If there are substantial surprises I'll
compile and post.  Thank you!





-- 
==================================================================
R. Wade Schuette     |  All opinions expressed are personal,    
Ann Arbor, MI USA    |  not to be attributed to my employer.
schuette@wl.com      |
Newsgroups: sci.image.processing,comp.graphics
From: larry@turing.abbott.com (Larry Pajakowski)
Subject: Re: Question: difference in viewed and printed images
Organization: Abbott Laboratories
Date: Fri, 4 Sep 92 16:16:21 GMT

We are looking seriously at the new Tektronix Phaser-IISD which uses dye
sublimination.  It seems quite capable of varying the density of a single
dot.  Our application is also grey scale only.  The "media" is avaiable in
black only which somewhat lowers the cost per page.

My biggest concern is that most of the software seems to assume that the
differing scales of grey need to be "created" by dithering or the like and
doesn't seem capable of creating a Postscript file for printers which can do
differing dot densities.

Larry Pajakowski
larry@turing.abbott.com
Newsgroups: sci.image.processing
From: markus@techfak.uni-bielefeld.de (Markus Illenseer)
Subject: Re: Locations for test images ?
Date: Fri, 28 Aug 92 07:07:12 GMT
Organization: Universitaet Bielefeld, Technische Fakultaet.
Keywords: high res images, test images, 24 bit color

In article <qhqyw!q@rpi.edu>, rodney@magritte.ipl.rpi.edu (Rodney Peck II) writes:
|> In article <BtnG4r.D7q@watserv1.uwaterloo.ca> paul@monet.uwaterloo.ca (Paul Sommers) writes:
|> >In response to people looking for 24 bit colour images:
|> >
|> >I found a good site to be:
|> >
|> >ftp.ipl.rpi.edu:/pub/image/still/usc/color
|>  ^^^^^^^^^^^^^^^
[....]

|> Those looking for 24 bit research quality standard images, you're in luck.

 24 Bit ? Yes, the Sun-Raster Pics have many colors, but the two i got
 (airplane and pepper) only had about 240 colors, this is not what i had
 expected for a 'real' 24 Bit Image , are there any other ?

 How about a list for pictures with more than 250 colors ?

[...]
|> Thanks,
|> Rodney
|> 
|> (Sorry if this is a little long, hit 'n' if you don't want to see a
|> long 'ls -lR')
|> 
|> This is a listing (ls -lR) of ftp.ipl.rpi.edu:/pub/image/still as of 
|> August 26th, 1992.
[List deleted]

 Looking for 'real' 24 Bit Images (more than 256 colors, e.g. 32K ) , Markus.

-- 
Markus Illenseer       EMail: markus@TechFak.Uni-Bielefeld.de
Universitaet Bielefeld Fax: (+49 521) 106-2992
Technische Fakultaet   Phone: (+49 521) 106-2926(internal only); -5329
Angewandte Informatik  SnailMail: Postfach 100131, D-4800 BIELEFELD 1
Xref: sparky sci.image.processing:553 comp.graphics:9202 sci.med:16478 sci.med.physics:354
From: rak@crosfield.co.uk (Richard Kirk)
Newsgroups: sci.image.processing,comp.graphics,sci.med,sci.med.physics
Subject: Re: Please Tell Me About Highspeed Digital Camera
Date: 27 Aug 92 15:19:48 GMT
Organization: Crosfield Electronics, Hemel Hempstead, United Kingdom.

Photometrics also make a 2K*2K CCD camera. This one has 12-bit dynamic range 
and thermoelectric cooling.  The ad. says they plug into ATs and Macs.  I 
asked the company for more details, but.

Ford Aerospace make a 4K*4K CCD ( <0.5 frames/sec, 7.5um pixel size, 10 e rms).
Has anyone made a camera around this?




-- 
Richard Kirk         Image Processing Group    Crosfield Electronics Ltd. U.K.
rak@crosfield.co.uk  0442-230000 x3361/3591    Hemel Hempstead, Herts, HP2 7RH
From: yi@fife.ecn.purdue.edu (Juneho Yi)
Newsgroups: sci.image.processing
Subject: Re: Image Restoration
Keywords: Signal-to-Noise Ratio, Entropy, Resolution
Date: 28 Aug 92 16:36:36 GMT
Organization: Purdue University Engineering Computer Network

sjreeves@eng.auburn.edu (Stan Reeves) writes:

>In article <yi.714929332@fife.ecn.purdue.edu> yi@fife.ecn.purdue.edu (Juneho Yi) writes:
>>sjreeves@eng.auburn.edu (Stan Reeves) writes:

>[ stuff on objective measures for restoration quality ]

>>>I'm assuming that the original poster is interested in objective measures
>>>that have some correlation to the assessment a human observer would make.
>>>Does this measure have any relationship to subjective evaluation?  What is
>>>the point of normalizing with respect to surface area?
>>
>>By normalizing the volume by the surface area, the value of the measure 
>>can be compared for different size of images.

>This is usually done simply by dividing by the number of pixels in the
>image.  Is there any advantage of dividing by surface area?  By surface
>area, are you thinking of an image as a 2-D contour map?  If you just
>mean height*width, then that's the same as dividing by the number of
>pixels.

The problem I am talking about is image reconstruction of the graph surface
form, z = z(x,y). Let's say we have two same surfaces z1, z2 and that z1 
is rotated about x or y axis. Then the projected areas of z1 and z2 onto x-y
plane are not the same any more. Hoever, the surface areas of z1 and z2 are
still invariant to the rotation.

>Also, what about "volume"?  This sounds like mean absolute error to me.

No, I compute approximate volume between the reconstructed surface and the
original noiseless surface to see how close the surface is reconstruted 
to the original surface.

>>The Mean-Square error is kinda L2 metric.
>>Apparently, if MSE is used as a measure, where the slope is high,
>>the difference value is emphasized more than in flat regions.
>>I am saying that MSE measure is ** not invariant ** w.r.t. a coordinate system.
>>The original poster was looking for methods to compare various algorithms on
>>image restoration, wasn`t it ?

>When you speak of a coordinate system, are you thinking of an image as a
>signal in two dimensions or are you thinking of each pixel as a dimension
>so that we have a signal in an MxN-dimensional vector space for an MxN 
>image?  If you mean the second, then MSE *is invariant* with respect to
>a coordinate transformation.  It also seems pretty clear that it's invariant
>in the sense of a 2-D coordinate transformation.  Can you clarify?

Of course, I am thinking of an image as a signal in two dimensions.

>--
>Stan Reeves
>Auburn University, Department of Electrical Engineering, Auburn, AL  36849
>INTERNET: sjreeves@eng.auburn.edu
Newsgroups: sci.image.processing
From: sjreeves@eng.auburn.edu (Stan Reeves)
Subject: Re: Image Restoration
Keywords: Signal-to-Noise Ratio, Entropy, Resolution
Organization: Auburn University Engineering
Date: Wed, 26 Aug 1992 19:15:38 GMT

In article <yi.714841254@fife.ecn.purdue.edu> yi@fife.ecn.purdue.edu (Juneho Yi) writes:
>m_yearwo@csd.brispoly.ac.uk (Mike Yearworth) writes:
>>	I'm looking for some references on extracting objective
>>measurements of image quality, for example the signal to noise ratio
>>of an image or its entropy, with a view to judging how good a particular
>>image restoration technique is. I'd be interested in obtaining bibliographies
>>and/or references to good textbooks. Thankyou.
>
>We use the volume between two surfaces(original image and restored
>one)normalized by the surface area
>as an invariant(w.r.t. arbitrary coordinate) measure to compare
>results from different reconstruction algorithms.
>We came up with a very efficient way of computing
>the volume between
>two surfaces and the surface area. Time
>complexity is theta(n)
>where n is the number of pixels. 

I'm assuming that the original poster is interested in objective measures
that have some correlation to the assessment a human observer would make.
Does this measure have any relationship to subjective evaluation?  What is
the point of normalizing with respect to surface area?

The simplest objective measure is mean-square error, but it doesn't always
correlate closely with a subjective evaluation of image quality.  Granted, 
the above technique is *an* objective measure, but the question is whether 
it is a good one for the purposes of the original poster.


--
Stan Reeves
Auburn University, Department of Electrical Engineering, Auburn, AL  36849
INTERNET: sjreeves@eng.auburn.edu
Newsgroups: sci.image.processing
From: gst5@igpho (Li)
Subject: raster/vector convert?
Organization: Swiss Federal Institute of Technology (ETH), Zurich, CH
X-Newsreader: Tin 1.1 PL3
Date: Wed, 2 Sep 1992 08:28:22 GMT

Hi, all,

Does anybody know if there is any software to convert a raster image(graph)
to vector format in public domain? Or is there any reference?

I'd really appreciate any help.

Haihong Li
gst5@p.igp.ethz.ch

Newsgroups: sci.image.processing
From: jk87377@cc.tut.fi (Juhana Kouhia)
Subject: Re: Beginner Looking for Books!!!!
Organization: Tampere University of Technology
Date: Tue, 25 Aug 92 17:20:30 GMT


In article <1992Aug24.152900.1@vmsclst1.sc.csupomona.edu>
mgeorgy@vmsclst1.sc.csupomona.edu writes:
>
> I am pretty new to Image Processing, and was wondering does anyone have any
>recommendations on books that just contain routiens to manipulate images, ie
>Algorithms, and methods, with explinations on how they work and what you get
>when the are applied???


Try this, I have read that it is good; I don't know does it contain
the algorithms you would like to get. Try library or bookstore first.

George Wolberg
Digital Image Warping


Juhana Kouhia
From: yi@fife.ecn.purdue.edu (Juneho Yi)
Newsgroups: sci.image.processing
Subject: Re: Image Restoration
Keywords: Signal-to-Noise Ratio, Entropy, Resolution
Date: 27 Aug 92 15:28:52 GMT
Organization: Purdue University Engineering Computer Network

sjreeves@eng.auburn.edu (Stan Reeves) writes:

>In article <yi.714841254@fife.ecn.purdue.edu> yi@fife.ecn.purdue.edu (Juneho Yi) writes:
>>m_yearwo@csd.brispoly.ac.uk (Mike Yearworth) writes:
>>>	I'm looking for some references on extracting objective
>>>measurements of image quality, for example the signal to noise ratio
>>>of an image or its entropy, with a view to judging how good a particular
>>>image restoration technique is. I'd be interested in obtaining bibliographies
>>>and/or references to good textbooks. Thankyou.
>>
>>We use the volume between two surfaces(original image and restored
>>one)normalized by the surface area
>>as an invariant(w.r.t. arbitrary coordinate) measure to compare
>>results from different reconstruction algorithms.
>>We came up with a very efficient way of computing
>>the volume between
>>two surfaces and the surface area. Time
>>complexity is theta(n)
>>where n is the number of pixels. 

>I'm assuming that the original poster is interested in objective measures
>that have some correlation to the assessment a human observer would make.
>Does this measure have any relationship to subjective evaluation?  What is
>the point of normalizing with respect to surface area?

By normalizing the volume by the surface area, the value of the measure 
can be compared for different size of images.

>The simplest objective measure is mean-square error, but it doesn't always
>correlate closely with a subjective evaluation of image quality.  Granted, 
>the above technique is *an* objective measure, but the question is whether 
>it is a good one for the purposes of the original poster.

The Mean-Square error is kinda L2 metric.
Apparently, if MSE is used as a measure, where the slope is high,
the difference value is emphasized more than in flat regions.
I am saying that MSE measure is ** not invariant ** w.r.t. a coordinate system.
The original poster was looking for methods to compare various algorithms on
image restoration, wasn`t it ?

>--
>Stan Reeves
>Auburn University, Department of Electrical Engineering, Auburn, AL  36849
>INTERNET: sjreeves@eng.auburn.edu


-- yi@ecn.purdue.edu
Newsgroups: sci.image.processing
From: pmoran@talon.ncsa.uiuc.edu (Patrick Moran)
Subject: Re: 2d dft phase info
Reply-To: pmoran@ncsa.uiuc.edu
Organization: NCSA Biomedical Imaging Group
Distribution: na
Date: Tue, 1 Sep 1992 20:55:12 GMT

In article <9209011949.AA19843@hp-and.an.hp.com>, susanm@hp-and.an.hp.com (Susan Margulies) writes:
> In recent posts I have seen some discussion about the phase
> information which results from a two-dimensional discrete Fourier
> Transform.  I am new to 2D Signal and Image Processing, and as such
> have my own question to throw into the discussion.
> 
> Basically, I am trying to come up with a way of visualizing the
> phase information as a function of position.  I am already
> displaying the magnitude information by mapping transform
> coefficients into grey scale information.  But since it is the phase
> information which is necessary (and sufficient) for image
> reconstruction, I would prefer to be studying the phase information.

One possibility would be to map phase information to hue in the
HSV color model.  The magnitude could be mapped to value in the HSV
model as well.  The result could be displayed as an image.

I haven't tried this myself, but I think the result could be interesting.

Pat


Newsgroups: sci.image.processing