Dear Petr,
thanks for your answer! Then my imagination was totally wrong. To check
if I understood your explanation, does the localizing part of the
algorithm more or less work like that (z assumed as the height value of
a pixel)?:
for (i=1 to number_of_steps, i++)
{
for (every pixel in xy-matrix)
{
follow height gradient [d(z(x,y))/d(x,y)] to local minimum z(xm,ym);
increase height of local minimum z(xm,ym) by factor:
(max(z)-min(z)) * dropsize/5000; //// for dropsize holds: 0 <
dropsize < 1
mark this pixel as lake;
}
check marked pixels if other marked pixels in neighbourhood and mark
connected pixels as 1 lake;
remove lakes smaller than the threshold given;
}
Regards,
Jens
Am 09.02.2014 22:03, schrieb Petr Klapetek:
> Dear Jens,
>
> drop size does not mean volume, it corresponds to amount
> by which the local minimum value is increased.
>
> In fact, the value is adaptive and depends on your data
> maximum and minimum as dropsize*(max - min)/5000.0.
>
> So no liquid physics is used, unfortunately, but on the other
> hand it fits hole of any pixel size.
>
> I hope that I understood all your questions,
> Regards,
>
> Petr
>
>
>
>
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