Help with shape descriptors

[Georges H]

Segmentation using Watershed would work to differentiate all cells (or the 
seeded watershed).
Differentiating both shapes could be done using a mask for each by fitting 
it and then counting n fits.


On Tuesday, 9 December 2014 20:58:43 UTC+1, Claiborne Morton wrote:
>
> Hello Scikit community, 
>
> I'm looking for help using particle descriptors to identify sickle cells 
> in the attached image. As you can see the sickle cells are the long, thin 
> cells. I have two issues, the first is that in some cases the sickle cells 
> are in contact with other healthy cells. I am trying to find a way of 
> separating (or water-shedding) the cells so that each "particle" is 
> actually one cell. The second issue is that I am dealing with is trying to 
> find shape descriptors that will allow me to accurately distinguish the 
> sickle cells from the healthy cells. 
>
> I used an eccentricity filter on the original image to remove all of the 
> cells with eccentricity less than 0.6. Making this any higher results in 
> removal of sickle cells. What other descriptors might be used for further 
> differentiation?
>
> Thanks, Clay 
>
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