I am trying to understand if there is an inherent advantage to using CIELAB for color-based segmentation.
I segmented the cytoplasm from the image above, where the left image below is from RGB color clustering, and the right one is from CIELAB clustering, where a and b matrices were used.
You can see that there are very slight differences between the methods, where in this case, CIELAB clustering seems to work a bit better, but there are other examples where it doesn't.
So my question is, can you give me the reasons for using CIELAB?
If it's too much of a bother to explain, a good article reference would be nice, it would be better if it includes some mathematical explanation as well.