I want to generate a binary mask that has ones for all voxels inside and zeros for all voxels outside a volume. The volume is defined by the convex hull around a set of 3D coordinates (<100; some of the coordinates are inside the volume).
I can get the convex hull using CONVHULLN, but how do I convert that into a binary mask?
In case there is no good way to go via the convex hull, do you have any other idea how I could create the binary mask?
You can solve this problem using the DelaunayTri class and the pointLocation method. Here's an example:
pointMatrix = rand(20,3); %# A set of 20 random 3-D points
dt = DelaunayTri(pointMatrix); %# Create a Delaunay triangulation
[X,Y,Z] = meshgrid(0:0.01:1); %# Create a mesh of coordinates for your volume
simplexIndex = pointLocation(dt,X(:),Y(:),Z(:)); %# Find index of simplex that
%# each point is inside
mask = ~isnan(simplexIndex); %# Points outside the convex hull have a
%# simplex index of NaN
mask = reshape(mask,size(X)); %# Reshape the mask to 101-by-101-by-101
The above example creates a logical mask for a 101-by-101-by-101 mesh spanning the unit volume (0 to 1 in each dimension), with a 1 (true) for the mesh points inside the convex hull of the 3-D point set.
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