Morphological Segmentation of Distinct Parts of Corn Kernels

Posted by Cmhulbert on Jun 26, 2015; 3:50pm
URL: http://imagej.273.s1.nabble.com/Morphological-Segmentation-of-Distinct-Parts-of-Corn-Kernels-tp5013319.html

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