Structured triangulation of a square domain
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Good day,
I'd like to obtain a structured triangulation of a square domain. An example of my current code is:
numx=3;
numy=3;
x=0:1/numx:1;
y=0:1/numy:1;
[X,Y] = meshgrid(x,y);
tri = delaunay(X,Y);
triplot(tri,X,Y)
This works fine.
However, now I would like to extract the vertices of the triangles.
So I would like to obtain some sort of a 3D matrix which would in this case look like:
vertex(1)
0 1
0.33 1
0.33 0.66
vertex(2)
0 1
0 0.66
0.33 0.66
And so on...
Has anyone got an idea how to realize this?
Thank you in advance!
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Accepted Answer
the cyclist
on 12 Apr 2013
I can't look at this thoroughly right now, but does
>> DT = delaunayTriangulation(X(:),Y(:))
give you what you need? See
>> doc delaunayTriangulation
to see the property list for that class of object.
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