Posted by
ctrueden on
Jun 26, 2015; 4:53pm
URL: http://imagej.273.s1.nabble.com/Morphological-Segmentation-of-Distinct-Parts-of-Corn-Kernels-tp5013319p5013320.html
Hi Caleb,
> I'm having difficulty when I try to separate parts of the kernels
> themselves (the Embryo, the tip, and the rest of the kernel) from each
> other.
Did you enable the additional training features in the TWS's Settings
dialog?
If so, and that still didn't help: you could post an example image
somewhere for others to try their hand.
Note also that in the future, TWS will support custom features (as a type
of ImageJ2 plugin), but this work is not yet complete. That sort of thing
will eventually help solve use cases like yours though.
Regards,
Curtis
On Fri, Jun 26, 2015 at 10:50 AM, Cmhulbert <
[hidden email]> wrote:
> Hi all,
>
> I have been playing around with ImageJ for a few weeks now, and have tried
> various segmentation methods, with the goal in mind of eventually measuring
> color values from kernels of corn. I have the kernels scanned in on a
> regular house scanner, at 300dpi. I can easily segment the from each other,
> and the background, with Weka Segmentation training, but I'm having
> difficulty when I try to separate parts of the kernels themselves (the
> Embryo, the tip, and the rest of the kernel) from each other. It seems like
> the Weka Segmentation gives too much weight to the color
> diferences/similarities, rather than the morphological differences (such
> as
> the grainy tips, or the raised "crater-like" appeareance around the
> embryo).
> Does anyone have suggestions as to what settings in Weka I should use to
> train for this? Or whether there is a better way to do this?
>
> Thanks,
> Caleb
>
>
>
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