Re: segmentation of images with poor noise statistics

On May 31, 3:53 pm, goanicks <spam...@xxxxxxxx> wrote:
Hi there,

I am looking for a clever approach to perform an image segmentation in
SPECT images with typically poor noise porperties. According to the
present (Poisson) noise, simple first-order-methods, such as edge
detection filtering, or simply applying a threshold usually fail.
Browsing the WEB I found, that there are so called statistical region
based methods based on a 'snake', which also take the noise properties
of the image into account and which are (from the authors) reported to
be very stable and reliable ...

Now my questions:

- Is this the method of choice for the type of images I
want to process?
- Are there any free code sources or even programs which
can be used to try out this approach?

Thanks a lot in advance!

Regards
Andy

The active shape/appearance model based approach might work depending
on the objects of interest.

This link provides a list of sites with info on the methods including
some with code
http://www.isbe.man.ac.uk/~bim/asm_links.html

Bob

.

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