Re: Morphological Segmentation of Distinct Parts of Corn Kernels

Posted by Dimiter Prodanov (imec) on Jun 29, 2015; 6:12am
URL: http://imagej.273.s1.nabble.com/Morphological-Segmentation-of-Distinct-Parts-of-Corn-Kernels-tp5013319p5013339.html

Hello Caleb,

this is a quick try of anisotropic diffusion filtering on the red channel.
I don't know if this is an acceptable result because I am not familiar with your technical area.

best regards,

Dimiter Prodanov
________________________________________
From: Cmhulbert [[hidden email]]
Sent: 26 June 2015 17:50
Subject: Morphological Segmentation of Distinct Parts of Corn Kernels

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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