Re: Blood vessel analysis using 16-bit image

Posted by Dianne Patterson on Jul 28, 2009; 8:55pm
URL: http://imagej.273.s1.nabble.com/Blood-vessel-analysis-using-16-bit-image-tp3691611p3691617.html

Play with Process->Math...it will let you add, subtract etc.I think
Analyze->Measure will give you things like maximum and minimum values.

What you are trying to avoid is truncating the values in the 16 bit
image...so you need to know the range.

Once you figure out what steps you want, you should be able to create a
macro to do them.

-Dianne

On Tue, Jul 28, 2009 at 1:21 PM, Schaffer, Beverly <[hidden email]>wrote:

> That sounds easy. Are those additional plug-ins (completely clueless) or
> something available in ImageJ. I looked through all the drop down menus
> and didn't find the options. I did find a threshold option under the
> colocalization and a multi-threshold under the filter plug-in.
>
> Could clarify for me?
>
> Thanks!
>
> Bev
> -----Original Message-----
> From: ImageJ Interest Group [mailto:[hidden email]] On Behalf Of
> Gabriel Landini
> Sent: Tuesday, July 28, 2009 2:28 PM
> To: [hidden email]
> Subject: Re: Blood vessel analysis using 16-bit image
>
> On Tuesday 28 July 2009 19:05:37 Schaffer, Beverly wrote:
> > I've tried the skeletonize and analyze skeleton plug-ins,
> > but they only work with an 8-bit grayscale image. The camera I am
> using
> > takes a 16-bit picture. I have tried converting the image to 8-bit in
> > ImageJ (type-8-bit) and then processing the image using skeletonize.
> All
> > I get is a single straight line in the middle of the image.
>
> I guess that you are missing the step of
> segmenting/converting/thresholding
> your 16 or 8 bit image into a binary image (which is also 8 bit).
> After you have a binary image you skeletonise it.
> (There are greyscale skeletons, but I do not think that is what you are
> looking for).
>
> Cheers
>
> G.
>
>

--
Dianne Patterson, Ph.D.
[hidden email]
University of Arizona
SLHS 328
621-5105