Extract region surface will do all domains at the same time.

What it does is iterate over all cells and extract the faces of the cell
for which either their is no neighbor or the neighbor cell has different
material.


David E DeMarle
Kitware, Inc.
R&D Engineer
21 Corporate Drive
Clifton Park, NY 12065-8662
Phone: 518-881-4909

On Mon, Jul 11, 2016 at 8:25 AM, Schlottke-Lakemper, Michael <
m.schlottke-lakem...@aia.rwth-aachen.de> wrote:

> Hi David,
>
> Thanks for your answer. From what I understand, your suggestions allow me
> to extract the surface for a single domain. However, what I am really
> looking for is something like in the second example, i.e., where I get
> lines representing the domain boundaries between *all* domains at once. I
> just want them to align neatly with the actual boundaries and not have them
> diluted by the Cell-to-Point filter. Any idea how I can achieve that? Or
> maybe I just misunderstood you…
>
> Michael
>
> On 11 Jul 2016, at 13:37 , David E DeMarle <dave.dema...@kitware.com>
> wrote:
>
> Could try threshold, or nearly equivalently clip by scalar, followed by
> surface filter.
>
> Another option is the material interface filter. That requires
> unstructured grid input and an integer or idtype material array. Clip its
> output or use opacity to see inside since its external surface looks the
> same as its input's.
> On Jul 11, 2016 6:41 AM, "Schlottke-Lakemper, Michael" <
> m.schlottke-lakem...@aia.rwth-aachen.de> wrote:
>
>> Maybe some visualization might help to illustrate the problem. This is
>> what the domain decomposition looks like for two domains:
>>
>> <PastedGraphic-1.png>
>>
>> There are only two domains with values 0 and 1, respectively. I then
>> select & apply the “Cell Data to Point Data” filter, then the “Contour”
>> filter with only one isosurface set to “0.5”. However, in this example, the
>> result is a blank screen, i.e., no visible output from the Contour filter.
>>
>> In another example, I get the following result:
>> <PastedGraphic-2.png>
>>
>> The sharp, colored interfaces of the integer array in the back is clearly
>> visible. In this case, there are 5 domains (values [0,4]) and I used 0.5,
>> …, 3.5 as the isosurface values in the contour filter. While in this case I
>> actually get an output (white lines), they follow the fuzzy output of “Cell
>> Data to Point Data” and I am not able to reconstruct the sharp interfaces.
>>
>> To conclude, my problems are actually twofold: I would like to find out
>> how to restore sharp contours, and - if that does not work - at least how
>> to make this approach work for all datasets I am looking at.
>>
>> Again, thanks a lot in advance, and please excuse my double posting...
>>
>> Michael
>>
>> On 11 Jul 2016, at 12:16 , Schlottke-Lakemper, Michael <
>> m.schlottke-lakem...@aia.rwth-aachen.de> wrote:
>>
>> Hi folks,
>>
>> I would like to visualize an integer array of an unstructured dataset
>> based on voxels, which contains MPI rank ids generated by a filter we use.
>> To achieve this, I plan to somehow extract the “sharp” interfaces, similar
>> to what the contour filter does, to obtain a visual representation of the
>> domain decomposition. However, for the contour filter, I first have to call
>> “Cell data to point data”, which smears out the previously sharp interfaces
>> and causes connectivity problems of the resulting contours, as in some
>> areas the domain decomposition features are very small.
>>
>> Is there another way how I could extract these contours? Please note that
>> I am not using vtkProcessId but rather an own integer array.
>>
>> Thanks a lot in advance
>>
>> Michael
>>
>>
>> --
>> Michael Schlottke-Lakemper
>>
>> Institute of Aerodynamics and Chair of Fluid Mechanics
>> RWTH Aachen University
>> Wüllnerstraße 5a
>> 52062 Aachen
>> Germany
>>
>> Phone: +49 (241) 80 95188
>> Fax: +49 (241) 80 92257
>> Mail: m.schlottke-lakem...@aia.rwth-aachen.de
>> Web: http://www.aia.rwth-aachen.de
>>
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