About this one, that's right, I'll make it clearer.
>
> In doc/examples/segment_corpus_callosum_from_rgb.py:
>
> > +from dipy.reconst.dti import TensorModel
> > +print("Now fitting tensor model")
> > +tenmodel = TensorModel(gtab)
> > +tensorfit = tenmodel.fit(data, mask=mask)
> > +
> > +"""We can now do a first segmentation of the data using the Colored Fractional
> > +Anisotropy (or cfa). It encodes in a 3D volume the orientation of the diffusion.
> > +Red means that the principal direction of the tensor is in x, green is for the
> > +y direction and the z direction is encoded with blue.
> > +
> > +We know that the corpus callosum should be in the middle of the brain
> > +and since the principal diffusion direction is the x axis,
> > +the red channel should be the highest in the cfa.
> > +
> > +Let's pick a threshold of 0.7 in the x axis and 0.1 in the y and z axis as a
> > +segmentation threshold.
>
> What you say is different from what you do below.
> What I think you mean is the range not the threshold. x axis has a 
> range of 0.7-1, y has 0-0.1 and z has 0-0.1
>
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>