Hello Paul,
We do it all the time in our group, from scilab, julia or Labview (and other
field specific languages).
But as you said, it's just a matter of saving it using h5write (or equivalent)
either as a matrix (grayscale image) or hypermatrix (rgb, multispectral or
hyperspectral images).
Hello,
> De Federico Miyara
> Envoyé : lundi 18 mars 2019 19:24
>
> As you don't know the inverse for any value different from the tabulated
> ones, you just interpolate:
>
> x1 = interp(y, x, y1);
If you considere that the probability distribution function is continuous,
yes, that's a very good
