Image Total Variation Calculation Plug-in?

[yeliang]

Hi, all
I am looking for a ImageJ plug-in to calculate the total
variation of a noised image(or stacks) where it compares to its original.
Would anyone help me, please? Thanks.

Yel

[yeliang]

Hi, all
I need to develop a plug-in to get a stack from an inactive
"ImagePlus" window, but the interface "PlugInFilter" only
provides the actived window "ImagePlus imp" parameter.
_________________________________________
public interface PlugInFilter {
        public int setup(String arg, ImagePlus imp);
        public void run(ImageProcessor ip);
...
}
_________________________________________
How can I get a stack from another inactived "ImagePlus" window?
Would anyone help me, please? Thanks.

Yel

[dscho]

Hi,

On Wed, 13 Sep 2006, yel wrote:

> I need to develop a plug-in to get a stack from an inactive
> "ImagePlus" window, but the interface "PlugInFilter" only
> provides the actived window "ImagePlus imp" parameter.

You can get another ImagePlus by using the static methods getImage() of
the class ij.WindowManager. Example:

        ImagePlus otherImage = WindowManager.getImage("blobs.gif");

Hth,
Dscho

[vytas-2]

If I understand your question correctly,  you can get the total
variance per pixel in a stack using the Image\Stacks\Z-projection
option of Standard Deviation.  (convert the statistic to variance, if
absolutely desired; there is no variance function as far as I've
seen) The S.D. image intensity that is output indicates the
variability in intensity over the stack per pixel. If you need this
versus the first image, perhaps duplicate that slice and subtract it
from the stack before running the S.D. projection.

At 11:35 PM 9/12/2006, you wrote:
>Hi, all
>I am looking for a ImageJ plug-in to calculate the total
>variation of a noised image(or stacks) where it compares to its original.
>Would anyone help me, please? Thanks.
>
>Yel

Vytas Bindokas, Ph.D.
Research Assoc. / Assoc. Prof.,
Director, BSD Light Microscopy Core Facility
Dept Neurobiol Pharmacol Physiol MC0926
947 E 58th Street
The University of Chicago
Chicago IL 60637
Room 1007 (CLSC)

773-702-4875

email [hidden email]
  web site for LMCF:
http://digital.bsd.uchicago.edu/index.html 



This email is intended only for the use of the individual or entity to which it is addressed and may contain information that is privileged and confidential.  If the reader of this email message is not the intended recipient, you are hereby notified that any dissemination, distribution, or copying of this communication is prohibited.  If you have received this email in error, please notify the sender and destroy/delete all copies of the transmittal.  Thank you.