On Jul 23, 11:59=A0am, techG <giuliopul...@[EMAIL PROTECTED]
> wrote:
> On Jul 23, 9:55=A0am, J <ja...@[EMAIL PROTECTED]
> wrote:
>
>
>
>
>
> > Hi Giulio
>
> > Efficient clustering and connected components algorithms often end up
> > looking extremely cryptic. =A0Connected components algorithms tend to
> > look like run-length encoders with line equivalence tables, or
> > optimised clustering algorithms. =A0 I have had some success and fast
> > execution times developing an algorithm based on this paper, which is
> > somewhere in between.
>
> > "Optimising connected components labelling algorithms"
>
> >http://crd.lbl.gov/~kewu/ps/LBNL-56864.pdf
>
> > Regards
>
> > Jason
>
> I had a look at the paper you linked, but, if I've understand well,
> the algorithms are developed for binary images, while I need to do
> segmentation on 8-bit gray-level images directly (without
> thresholding), to identify homogeneous zones
> --> something like
this:http://spie.org/Images/Graphics/Newsroom/Im****ted=
/0016/16_fig1.jpg
> PS: For binary image connected-components labelling, I implemented an
> algorithm based on this paper: "A linear-time component-labeling
> algorithm using contour tracing technique", i think that's very good!-
Hi=
de quoted text -
>
> - Show quoted text -
The first thing you need to do is to identify your real goal, or,
equivalently, define the term 'homogeneous' for your application. Any
segmentation method incor****ates its own definition of 'homogeneous',
but this may or may not be what you want.
illywhacker;
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