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Newsgroup sci.image.processing 25710

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IMAQVision with LabView -- "Marc L.R. Horemans"
Re: Error Diffusion Artifacts -- Thomas Zeggel
Image processing SW -- Kaare Gärtner
Re: Calibration problem -- jcm+@cheerios.maps.cs.cmu.edu (Chris McGlone)
object counting -- dwarf@wam.umd.edu (Dwarf)
Re: Image analysis software -- Jeffrey Tsao
Re: pls help: CCITT and TIF -- aravind@cse.iitb.ernet.in (Aravind K)
Re: geographical image processing.photogrammetry etc -- Tom Hospod
Re: Tracking -- Tom Hospod
Re: CNN for edge detection -- Czúni László
Re: Please help! -- Czúni László
Techniques for getting depth from a needle diagram? -- Michael Hucka
Re: Calibration problem -- Peter Rander
Re: object counting -- "Sheldon L. Epstein"

Articles

IMAQVision with LabView
"Marc L.R. Horemans"
Mon, 9 Jun 1997 07:29:58 GMT
Hi,
is there anyone who uses IMAQVision (LabView add-on)??
Marc
E-mail: horemans@natlab.research.philips.com
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Re: Error Diffusion Artifacts
Thomas Zeggel
9 Jun 1997 09:27:09 GMT
braunan@Informatik.TU-Muenchen.DE (Andi Braun) wrote:
>How can I solve the problem of artifacts in error diffusion
>dithering? Does rescaling the error (Floyd) work? How can I
>do this. What about using 12 error fractions?
>
>Thanks in advance,
>
>Andi
What kind of artifacts do you mean? If you mean the "worm-like" 
textures in the very dark and bright regions, the simplest way
to diminish theses textures are small changes in the Floyd matrix,
e.g.  
                 x   7/16     instead of         x    7/16
   1/16  3/16  5/16                       3/16  5/16  1/16    .
AFAIR this was proposed by Fan (from Xerox). 
A large diffusion matrix will also work, but leads to problems
at medium graylevels, and usually also to a larger edge enhancement.
If you look in a standard textbook (maybe Ulichney, Digital 
Halftoning) you will find more possibilities like ED on a
serpentine raster or a mixture of Dither and ED. Usually the 
reproduction of extreme graylevels is improved at the cost of
noisier medium graylevels. In the recent halftoning literature 
you will find many papers about algorithms that adapt itself
to the local graylevel, using simple ED at medium and
something different at extreme graylevels (including an article 
about adaptation of the processing raster that I published 3 years 
ago).
If you want to play around with some standard halftoning methods,
you can try a Java applet that a friend of mine has made:
  http://www.appl-opt.physik.uni-essen.de/~phy510
And if you have any other questions, feel free to email me.
Thomas
-- 
******************************************************************
**                          Thomas Zeggel                       **
**              email: phy540@sp2.power.uni-essen.de            **
**       http://www.appl-opt.physik.uni-essen.de/~phy540        **
******************************************************************
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Image processing SW
Kaare Gärtner
Mon, 09 Jun 1997 13:20:11 +0200
Hi,
I need a comment from You on image processing software.
Anyone of You have strong feelings 'bout some particular package ?
I'd be thankful if You'd also give me some hints 'bout market
leadership.
Thank you,
--kaare
 --------------------------------------------------------------
 | Kaare Gärtner       |   The Norwegian Radium Hospital        |
 | kaareg@radium.uio.no|   Dep. of  biophysics                  |
 | fax:+47 22934270    |   Montebello                           |
 | tlf:+47 22934276    |   0310 OSLO                            |
  --------------------------------------------------------------
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Re: Calibration problem
jcm+@cheerios.maps.cs.cmu.edu (Chris McGlone)
9 Jun 1997 13:25:09 GMT
Miroslav Trajkovic,  (miroslav@ee.usyd.edu.au) described problems 
using Faugeras' self calibration method with 8 points:
>each time I perform calibration with different camera
>orientation, I obtain different intrinsic parameters....
This is a very hard (and often impossible) problem, due to high 
correlations between the exterior orientation parameters (position 
and orientation) and the interior orientation parameters (focal 
length, principal point position).  
> ...
> lots o' math
> ...
>In my experiments, I used set of 8 points. I measured their 3D
>coordinates and image positions and carried calibration. I've got
>reasonably small errors (in terms of (eqn. 1), not more than 3 pixels),
>but...
Were your 8 points in a plane, or distributed in 3D?  If they're in a plane,
then the transformation between the image and object spaces is defined by just
8 parameters; your solution is then overparameterized, resulting in 
perfect correlations between the parameters.   In this case, the extra
parameters wind up modeling the noise in the image measurements, along 
with lens distortion or other systematic errors. 
>
>Each time I performed the calibration (with different camera
>orientation) I obtained VERY different intrinsic parameters, and g
>wasn't small at all.
>
>I suspect that 8 points were not enough, but I am not sure. Another
>problem is that maybe I shoud put constraint g=0, but then I could
>easily have a nonlinear problem, what I am trying to avoid.
Unfortunately, life is non-linear.  This is a very simplistic math model,
which is sometimes usable if you apply the total transformation 
matrix instead of looking at the values of the individual parameters but
as you've discovered, the parameter values you get usually 
don't mean anything.
Photogrammetrists have spent many years on the camera calibration 
problem, both on the mathematics and on determining point configurations 
which will work.   I would advise you to research the photogrammetric 
literature.
Chris McGlone
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object counting
dwarf@wam.umd.edu (Dwarf)
9 Jun 1997 13:39:57 GMT
Hello all!
I am going to be doing an experiment in which I hope to count and size
lots of objects on the order of 200 microns in diameter.  I plan to do
this using a CCD camera w/ frame grabber and software (leaning towards
DT 3155 and Image Pro).  The part of this plan which is less set is
exactly *how* we will resolve the bubbles (objects).
Can anyone suggest how to go about sizing a lens and selecting a CCD
camera?  To be honest, what I know about all of this wouldn't fill a small
page with large text.
Any help would be greatly appreciated.
Thanks!
Greg Anderson
dwarf@wam.umd.edu
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Re: Image analysis software
Jeffrey Tsao
Mon, 09 Jun 1997 09:40:08 -0500
I've been using ImageTool for a while. It's quite good overall. However,
the major problem that I have is that it doesn't have a very good tool 
for manipulating the pseudo-color scales, especially when you need 2 
simultaneous color scales for displaying coregistration results.
Does anyone have a good plug-in to overcome this problem?
Cordially,
Jeffrey Tsao
Biomedical Magnetic Resonance Laboratory
University of Illinois at Urbana-Champaign
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Re: pls help: CCITT and TIF
aravind@cse.iitb.ernet.in (Aravind K)
Mon, 9 Jun 1997 06:48:39 GMT
Adam Ray (ozric@worldnet.att.net) wrote:
: Hello all.
: 
: I'm trying to extract CCITT3 image data (possibly CCITT4) and create a TIFF
: image out of it.  I've looked at the specs of TIFF Rev 4, but I can't
: really tell how or where I would insert the CCITT data.  What I do have is
A
: the resolution of the image data and the size in bytes.  But I don't even
: know how close I am or how complicated this will be.  I appreciate anyone's
: help on this.
: 
: 
: Adam
Hi,
Since you have gone through TIFF specs you must have noticed that the file 
format of TIFF is as follows:
	TIFF header
	TIFF tags
	Image data
The tags are each of 12 Bytes in width and there may be any number of tags
but there are a few essential tags.
So while storing a CCITT G3/G4 image in the tiff file format all that one 
has to do is to write the tiff header and the tiff tags and then append the 
CCITT G3/G4 image data in the end of the file.(Note: you have to set the
value of the Strip Offset Tag accordingly)
Yes the info you have about the image is sufficient. To do a CCITT to TIFF
conversion you need the following info about the image:
	Width in pels
	Hight in pels
	Fill order of the image data - i.e. Normal or reverse fill order
					usually you do not have this info
					 in advance.  Some applications
					 may make it in the forward fill
					 order and some in the reverse fill
					 order. So if you dont know
					about this then try both.
	Number of strips of the image data
Hope this was of any help to you. A lot of info is available on tiff specs on 
web,
bye,
aravind. k.
e-mail: aravind@cse.iitb.ernet.in
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Re: geographical image processing.photogrammetry etc
Tom Hospod
Mon, 09 Jun 1997 15:47:14 -0400
Patrick,
Try contacting magazines GIS World (+970-223-4848) and Earth Observation
Magazine (+303-751-0755) in the US. Perhaps they have done a review of
these different packages at one time or another.  Are you looking for a
GUI-based package?
Regards,
Tom Hospod
Segment Manager, Image Processing
The MathWorks
Patrick Hill wrote:
> 
> Im trying to find a newsgroup or somebody that can give me a review of some
> PC based image processing packages pertaining to aerial photography and
> satellite imagery. and maybe some comparisons of systems available. Im
> aware of Leica Heleva System,ERMapper and MicroImages TNT Mips, but would
> like to compare these and other systems.
> Thanks
> Patrick
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Re: Tracking
Tom Hospod
Mon, 09 Jun 1997 16:11:18 -0400
Hello Ali,
I suggest that you check our resource directory at
http://www.mathworks.com/search.html and search for user-contributed
m-files that may be able to help you in your work. Let me know how you
make out.
Regards,
Tom Hospod
Segment Manager, Image Processing
ALi khalil Benkhalil wrote:
> 
> Hi, all..
> 
> I just started a research work on motion analysis and tracking.
> Can any one please let me know any (algorithme, sourcs code, URL page)
> where i can fined more information on tracking using MATLAB and how the
> MATLAB v4.2c.1 can read a sequeance of frames.
> 
> Thanks.
> ALI BENKHALIL
> e-mail: akbenkha@bradford.ac.uk
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Re: CNN for edge detection
Czúni László
Mon, 09 Jun 1997 23:18:10 +0200
Biao Lu wrote:
> 
> Hi, all:
> 
> Does anyone have any suggestion on the application of the cellular neural
> network to the edge detection? I heard that CNN edge detection gives the
> better results than the general edge detection techniques.
> 
> Any suggestions will be highly appreciated.
> 
> Please write to me by email. Thanks.
> 
> Biao Lu                             Voice:  (512) 471-2887
> Engineering Science Building        Fax:    (512) 471-5907
> The University of Texas at Austin   E-mail: blu@ece.utexas.edu
> Austin, TX 78712-1084 USA           Web:    http://anchovy.ece.utexas.edu/~blu
Hi,
As far as I know (I had some courses in CNN and currently doing a PhD
related to CNN) CNN is more a general tool in image processing than
something in connection with edge detection - if You mean Cellular
Neural/Nonlinear Network. Since edge detection can be done with
convolution, edge detection can be done with CNN - a good device for
convolution/deconvolution. On the other hand there are some problems
with it. If you really want to solve problems with it You must give more
detailed questions -to my mailbox.
L*
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Re: Please help!
Czúni László
Mon, 09 Jun 1997 23:25:58 +0200
Wenxin Mao wrote:
> 
> Hi, friends,
> 
> Recently I got a message from my friends:
> 
> " I am study scientific image  processing , I want get some good image
> processing soft ware, it is especial to determine particle size, and holes, throat channels
> dimension in rocks. It is very important for rock bearing oil.  Could you help me looking for
> some information in your college.  "
> 
> I am not familar with scientific images processing, so I ask you for  advice.
> 
> Thanks in advance,
> Mao
The most scientific software I can suggest is Khoros. It is also
available for commercial and academic use (www.khoral.com, or if I am
wrong look after with altavista).
However it is very complex and needs a lot of time to learn and large
computing power (availbale also for linux, 32M of ram, ~200 M hd). 
L*
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Techniques for getting depth from a needle diagram?
Michael Hucka
09 Jun 1997 15:27:34 -0400
Can anyone point me to modern work on getting depth from a needle diagram
(where by "needle diagram" I mean a map of local surface orientation)?  I see
that Horn talks about it briefly in his 1986 book, but I'd like to find out
more about the techniques that people have used.
-- 
Mike Hucka    hucka@umich.edu    http://www.eecs.umich.edu/~hucka    University
 PhD to be, computational models of human visual processing (AI Lab)     of
   UNIX systems administrator & programmer/analyst (EECS DCO)         Michigan
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Re: Calibration problem
Peter Rander
Mon, 09 Jun 1997 18:00:05 -0400
Miroslav D Trajkovic wrote:
> In my experiments, I used set of 8 points. I measured their 3D
> coordinates and image positions and carried calibration. I've got
> reasonably small errors (in terms of (eqn. 1), not more than 3 pixels),
> but...
> 
> Each time I performed the calibration (with different camera
> orientation) I obtained VERY different intrinsic parameters, and g
> wasn't small at all.
> 
> I suspect that 8 points were not enough, but I am not sure. Another
> problem is that maybe I shoud put constraint g=0, but then I could
> easily have a nonlinear problem, what I am trying to avoid.
One thing that you should consider, if you haven't already, is
that the normalization of your world and image coordinates can
significantly impact the accuracy of your results.  I can't
remember the exact reference, but Richard Hartley wrote a paper
with a title like, "In defense of the 8-point algorithm," which
goes into this problem in some detail.  I can't say that this
is the source of your errors, but it may be affecting things.
(The paper was written in the mid 1990's, probably 1995.)
Of course, as Chris McGlone pointed out, you should make sure
that you 8 points do not lie in a degenerate configuration (e.g.
colinear or coplanar).
> Finally, it can be due to lense distortion, but I doubt that results
> woud be so "catastrophic".
This all depends on your lenses.  If you are using wide field
of view lenses, then your images probably have significant 
radial lens distortion.  (Our lenses are about 90 degrees FOV
and have distortions on the order of tens of pixels at the
periphery of the FOV.)
An alternative (and good!) calibration software package is
Reg Willson's implementation of Tsai's calibration procedure.
This code is available on line at
    http://www.cs.cmu.edu/~rgw/TsaiCode.html
-Pete (rander@cs.cmu.edu)
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Re: object counting
"Sheldon L. Epstein"
Mon, 09 Jun 1997 21:39:19 -0500
Dwarf wrote:
> 
> Hello all!
> 
> I am going to be doing an experiment in which I hope to count and size
> lots of objects on the order of 200 microns in diameter.  I plan to do
> this using a CCD camera w/ frame grabber and software (leaning towards
> DT 3155 and Image Pro).  The part of this plan which is less set is
> exactly *how* we will resolve the bubbles (objects).
> 
> Can anyone suggest how to go about sizing a lens and selecting a CCD
> camera?  To be honest, what I know about all of this wouldn't fill a small
> page with large text.
> 
> Any help would be greatly appreciated.
> 
> Thanks!
> 
> Greg Anderson
> dwarf@wam.umd.edu
Hello Dwarf (a.k.a Greg)
We regularly examine 50 micron objects here - so I have some practical
experience.  We have a ZEISS AXIOLAB microscope and would suggest that
you start with a 10X to 20X micron objective to see the entire object.
A 40X objective will let you peer at fine detail.
For a camera, we selected the SONY XC-7500 CCD Camera because it 
has square pixels and great response for black-& white problems.
Our imaging boards are both EPIX - the Model 12 with COC40 Board
for DSP analysis and the PIXCI for our PCI board computer.  The
PIXCI board works with both color and B/W cameras.  See
http://www.epixinc.com/epix
			Good Hunting,
			Shel@k9ape.com
			http://www.k9ape.com
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