Posted by
Gabriel Landini on
Jun 27, 2015; 8:41am
URL: http://imagej.273.s1.nabble.com/Morphological-Segmentation-of-Distinct-Parts-of-Corn-Kernels-tp5013319p5013331.html
On Friday 26 Jun 2015 10:18:17 Cmhulbert wrote:
> Also, to Curtis's suggestion, I'll upload a photo if anyone would like to
> try their hand at it. Ideally, it would be able to separate the Embryo,
> tip, and rest of the kernel for a kernel in any orientation, and of any
> color.
>
> Each class being defined as:
> Tip: the white pointed end of the kernel
> Embryo: "Crater-like" oval(usually), only on one side of the kernel
> Rest of the kernel: everything else.
>
> Currently I have tried with four classes: each of the ones listed above, and
> a separate class for the background.
Hi,
I just had a brief look at your image.The weka training is very interesting
and powerful in situations where it is not clear how to go about extracting
data. We are very lucky to be able to use it for images too, but in your case
you might also be able to extract the kernels with some other simpler method
by exploiting the characteristics of your image.
For example, it may be possible to extract the kernels relatively easily based
on colour, if the background were different.
Some of the kernels have a very similar grey colour as the background and will
be always difficult to extract because there is little contrast between a part
of the kernel and the background. I would suggest to try other background
colours, such as black rather than grey, or another dark colour that never
appears in the kernels (dark blue, dark green?).
Also your image seems to be jpeg compressed and then saved as tiff. If you
want to use colour information, the hue will be heavily quantised (you can see
that using the threshold color and change the hue dials, lots of blocky
artifacts appear).
Hope it helps
Gabriel
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