convexHull
Convex hull of Delaunay triangulation
Description
Examples
2-D Delaunay Triangulation
Compute and plot the convex hull of a 2-D Delaunay triangulation.
Create a Delaunay triangulation from a set of 2-D points.
rng default;
x = rand([10,1]);
y = rand([10,1]);
DT = delaunayTriangulation(x,y);
Compute the convex hull.
C = convexHull(DT);
Plot the triangulation and highlight the convex hull in red.
plot(DT.Points(:,1),DT.Points(:,2),'.','MarkerSize',10) hold on plot(DT.Points(C,1),DT.Points(C,2),'r')
3-D Delaunay Triangulation
Compute and plot the convex hull of a 3-D Delaunay Triangulation.
Create a Delaunay triangulation from a 3-D set of points.
rng('default');
P = rand([25,3]);
DT = delaunayTriangulation(P);
Compute the convex hull and the volume bounded by the convex hull.
[C,v] = convexHull(DT);
Display the volume and plot the convex hull.
v
v = 0.3943
trisurf(C,DT.Points(:,1),DT.Points(:,2),DT.Points(:,3), ... 'FaceColor','cyan')
Input Arguments
DT
— Delaunay triangulation
scalar
Delaunay triangulation, specified as a scalar delaunayTriangulation
object.
Data Types: delaunayTriangulation
Output Arguments
C
— Convex hull vertices
column vector | matrix
Convex hull vertices, returned as a column vector or matrix of vertex IDs.
When
DT
is a 2-D triangulation,C
is a column vector containing the sequence of vertex IDs around the convex hull. The vertex IDs are the row numbers of the vertices in thePoints
property.When
DT
is 3-D triangulation,C
is a 3-column matrix containing the connectivity list of triangle vertices in the convex hull.
Data Types: double
v
— Area or volume
scalar
Area or volume of the convex hull, returned as a scalar.
Data Types: double
Extended Capabilities
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
Version History
Introduced in R2013a
See Also
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