----- Mensaje original -----
> On Sun, Dec 16, 2012 at 02:25:38PM +0000, Andres Muniz wrote:
> > Yes, you are right, i thought it would show the top and bottom edge of
> > the gradient.
>
> Well, there's the terminology confusion. In the case of perfecly sharp
> steps the upper and lower edge of the step coincide but many real-world
> steps have the flat-slope-flat structure with non-negligible width of
> the sloping part.
>
> > I only found sholer vertical or scholer horizontal. Not both, and no
> > mention of scharr.
>
> Scharr's PhD thesis ‘Optimale Operatoren in der digitalen
> Bildverarbeitung’ deals with these topics. I'm not sure what parts of
> if are be available in English.
OK. Thanks!
>
> > i now realize that presentation might not be what I was looking for.
> > Presentation is only cosmetic and when i do a section I only see the
> > original data with no indication were the highlighted edges are.
>
> Yes, that's how presentations are supposed to work. You can do Extract
> Presentation do get a channel from presentation, but the values are
> normalized to the range [0,1]. You may want the raw output of the
> filter – which is produced by the raw C (or pygwy) functions but you can
> also get it using Convolution Filter and entering the coefficients.
>
aha! Great! I had not seen Extract presentation. i will have a go. i do not
mind if it is normalized 0,1. In fact, it saves me from doing it myself. I just
care for XY pixels.
Thanks!
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